Search Results

Search found 5335 results on 214 pages for 'agile processes'.

Page 160/214 | < Previous Page | 156 157 158 159 160 161 162 163 164 165 166 167  | Next Page >

  • WSAECONNRESET (10054) error using WebDrive to map to a Subversion/Apache WebDAV share

    - by Dylan Beattie
    Hello, I'm using WebDrive to map a drive letter to a WebDAV share running on Subversion with the SVNAutoversioning flag enabled. The Subversion server is running CollabNet Subversion Edge with LDAP authentication. When trying to connect using WebDrive, I get: Connecting to site myserver Connecting to http://myserver/webdrive/ Resolving url myserver to an IP address Url resolved to IP address 192.168.0.12 Connecting to 192.168.0.12 on port 80 Connected successfully to the server on port 80 Testing directory listing ... Connecting to 192.168.0.12 on port 80 Connected successfully to the server on port 80 Unable to connect to server, error information below Error: Socket receive failure (4507) Operation: Connecting to server Winsock Error: WSAECONNRESET (10054) The httpd.conf file running on the server contains the following section: <Location /webdrive/> DAV svn SVNParentPath "C:\Program Files\Subversion\data\repositories" SVNReposName "My Subversion WebDrive" AuthzSVNAccessFile "C:\Program Files\Subversion\data/conf/svn_access_file" SVNListParentPath On Allow from all AuthType Basic AuthName "My Subversion Repository" AuthBasicProvider csvn-file-users ldap-users Require valid-user ModMimeUsePathInfo on SVNAutoversioning on </Location> and in the Apache error_yyyy_mm_dd.log file on the server, I'm seeing this when I try to connect via WebDAV: [Mon Jan 10 14:53:22 2011] [debug] mod_authnz_ldap.c(379): [client 192.168.0.50] [5572] auth_ldap authenticate: using URL ldap://mydc/dc=mydomain,dc=com?sAMAccountName?sub [Mon Jan 10 14:53:22 2011] [debug] mod_authnz_ldap.c(484): [client 192.168.0.50] [5572] auth_ldap authenticate: accepting dylan.beattie [Mon Jan 10 14:53:22 2011] [info] [client 192.168.0.50] Access granted: 'dylan.beattie' OPTIONS webdrive:/ [Mon Jan 10 14:53:22 2011] [debug] mod_authnz_ldap.c(379): [client 192.168.0.50] [5572] auth_ldap authenticate: using URL ldap://mydc/dc=mydomain,dc=com?sAMAccountName?sub [Mon Jan 10 14:53:22 2011] [debug] mod_authnz_ldap.c(484): [client 192.168.0.50] [5572] auth_ldap authenticate: accepting dylan.beattie [Mon Jan 10 14:53:22 2011] [info] [client 192.168.0.50] Access granted: 'dylan.beattie' PROPFIND webdrive:/ [Mon Jan 10 14:53:25 2011] [notice] Parent: child process exited with status 3221225477 -- Restarting. [Mon Jan 10 14:53:25 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xcd0f18 rmm=0xcd0f48 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:25 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xcd0f18 rmm=0xcd0f48 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:25 2011] [info] APR LDAP: Built with Microsoft Corporation. LDAP SDK [Mon Jan 10 14:53:25 2011] [info] LDAP: SSL support unavailable: LDAP: CA certificates cannot be set using this method, as they are stored in the registry instead. [Mon Jan 10 14:53:25 2011] [notice] Apache/2.2.16 (Win32) DAV/2 SVN/1.6.13 configured -- resuming normal operations [Mon Jan 10 14:53:25 2011] [notice] Server built: Oct 4 2010 19:55:36 [Mon Jan 10 14:53:25 2011] [notice] Parent: Created child process 4368 [Mon Jan 10 14:53:25 2011] [debug] mpm_winnt.c(487): Parent: Sent the scoreboard to the child [Mon Jan 10 14:53:25 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xca2bb0 rmm=0xca2be0 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:25 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xca2bb0 rmm=0xca2be0 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:25 2011] [info] APR LDAP: Built with Microsoft Corporation. LDAP SDK [Mon Jan 10 14:53:25 2011] [info] LDAP: SSL support unavailable: LDAP: CA certificates cannot be set using this method, as they are stored in the registry instead. [Mon Jan 10 14:53:25 2011] [error] python_init: Python version mismatch, expected '2.5', found '2.5.4'. [Mon Jan 10 14:53:25 2011] [error] python_init: Python executable found 'C:\\Program Files\\Subversion\\bin\\httpd.exe'. [Mon Jan 10 14:53:25 2011] [error] python_init: Python path being used 'C:\\Program Files\\Subversion\\Python25\\python25.zip;C:\\Program Files\\Subversion\\Python25\\\\DLLs;C:\\Program Files\\Subversion\\Python25\\\\lib;C:\\Program Files\\Subversion\\Python25\\\\lib\\plat-win;C:\\Program Files\\Subversion\\Python25\\\\lib\\lib-tk;C:\\Program Files\\Subversion\\bin'. [Mon Jan 10 14:53:25 2011] [notice] mod_python: Creating 8 session mutexes based on 0 max processes and 64 max threads. [Mon Jan 10 14:53:25 2011] [notice] Child 4368: Child process is running [Mon Jan 10 14:53:25 2011] [debug] mpm_winnt.c(408): Child 4368: Retrieved our scoreboard from the parent. [Mon Jan 10 14:53:25 2011] [info] Parent: Duplicating socket 288 and sending it to child process 4368 [Mon Jan 10 14:53:25 2011] [info] Parent: Duplicating socket 276 and sending it to child process 4368 [Mon Jan 10 14:53:25 2011] [debug] mpm_winnt.c(564): Child 4368: retrieved 2 listeners from parent [Mon Jan 10 14:53:25 2011] [notice] Child 4368: Acquired the start mutex. [Mon Jan 10 14:53:25 2011] [notice] Child 4368: Starting 64 worker threads. [Mon Jan 10 14:53:25 2011] [debug] mpm_winnt.c(605): Parent: Sent 2 listeners to child 4368 [Mon Jan 10 14:53:25 2011] [notice] Child 4368: Starting thread to listen on port 49159. [Mon Jan 10 14:53:25 2011] [notice] Child 4368: Starting thread to listen on port 80. [Mon Jan 10 14:53:25 2011] [debug] mod_authnz_ldap.c(379): [client 192.168.0.50] [4368] auth_ldap authenticate: using URL ldap://mydc/dc=mydomain,dc=com?sAMAccountName?sub [Mon Jan 10 14:53:25 2011] [debug] mod_authnz_ldap.c(484): [client 192.168.0.50] [4368] auth_ldap authenticate: accepting dylan.beattie [Mon Jan 10 14:53:25 2011] [info] [client 192.168.0.50] Access granted: 'dylan.beattie' PROPFIND webdrive:/ [Mon Jan 10 14:53:28 2011] [notice] Parent: child process exited with status 3221225477 -- Restarting. [Mon Jan 10 14:53:28 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xcd4f90 rmm=0xcd4fc0 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:28 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xcd4f90 rmm=0xcd4fc0 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:28 2011] [info] APR LDAP: Built with Microsoft Corporation. LDAP SDK [Mon Jan 10 14:53:28 2011] [info] LDAP: SSL support unavailable: LDAP: CA certificates cannot be set using this method, as they are stored in the registry instead. [Mon Jan 10 14:53:28 2011] [notice] Apache/2.2.16 (Win32) DAV/2 SVN/1.6.13 configured -- resuming normal operations [Mon Jan 10 14:53:28 2011] [notice] Server built: Oct 4 2010 19:55:36 [Mon Jan 10 14:53:28 2011] [notice] Parent: Created child process 5440 [Mon Jan 10 14:53:28 2011] [debug] mpm_winnt.c(487): Parent: Sent the scoreboard to the child [Mon Jan 10 14:53:28 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xda2bb0 rmm=0xda2be0 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:28 2011] [debug] util_ldap.c(1990): LDAP merging Shared Cache conf: shm=0xda2bb0 rmm=0xda2be0 for VHOST: myserver.mydomain.com [Mon Jan 10 14:53:28 2011] [info] APR LDAP: Built with Microsoft Corporation. LDAP SDK [Mon Jan 10 14:53:28 2011] [info] LDAP: SSL support unavailable: LDAP: CA certificates cannot be set using this method, as they are stored in the registry instead. [Mon Jan 10 14:53:28 2011] [error] python_init: Python version mismatch, expected '2.5', found '2.5.4'. [Mon Jan 10 14:53:28 2011] [error] python_init: Python executable found 'C:\\Program Files\\Subversion\\bin\\httpd.exe'. [Mon Jan 10 14:53:28 2011] [error] python_init: Python path being used 'C:\\Program Files\\Subversion\\Python25\\python25.zip;C:\\Program Files\\Subversion\\Python25\\\\DLLs;C:\\Program Files\\Subversion\\Python25\\\\lib;C:\\Program Files\\Subversion\\Python25\\\\lib\\plat-win;C:\\Program Files\\Subversion\\Python25\\\\lib\\lib-tk;C:\\Program Files\\Subversion\\bin'. [Mon Jan 10 14:53:28 2011] [notice] mod_python: Creating 8 session mutexes based on 0 max processes and 64 max threads. [Mon Jan 10 14:53:28 2011] [notice] Child 5440: Child process is running [Mon Jan 10 14:53:28 2011] [debug] mpm_winnt.c(408): Child 5440: Retrieved our scoreboard from the parent. [Mon Jan 10 14:53:28 2011] [info] Parent: Duplicating socket 288 and sending it to child process 5440 [Mon Jan 10 14:53:28 2011] [info] Parent: Duplicating socket 276 and sending it to child process 5440 [Mon Jan 10 14:53:28 2011] [debug] mpm_winnt.c(564): Child 5440: retrieved 2 listeners from parent [Mon Jan 10 14:53:28 2011] [notice] Child 5440: Acquired the start mutex. [Mon Jan 10 14:53:28 2011] [notice] Child 5440: Starting 64 worker threads. [Mon Jan 10 14:53:28 2011] [debug] mpm_winnt.c(605): Parent: Sent 2 listeners to child 5440 [Mon Jan 10 14:53:28 2011] [notice] Child 5440: Starting thread to listen on port 49159. [Mon Jan 10 14:53:28 2011] [notice] Child 5440: Starting thread to listen on port 80. Browsing http://myserver/webdrive/ from a web browser is working fine, and I have a similar set-up working perfectly on a different SVN server that isn't running Collabnet but has had Subversion and Apache installed and configured separately. Any ideas? The python version error might be red herring - I've seen it in a couple of places in the log files and in other scenarios it doesn't appear to be breaking anything...

    Read the article

  • Tomcat IIS 7 Integration gives 503 errors on all requests.

    - by Yvan JANSSENS
    Hi, After many attempts to install Tomcat on IIS 7, I finally managed to get it working. At least I think so :-S. I finally got the 500 errors away, by setting the correct permissions. The only thing that doesn't work is ... serving stuff: neither regular stuff (like ASP, HTML files, or directory browsing) or Tomcat things work. Here are my configs: Worker.properties # The workers that your plugins should create and work with # worker.list=worker1 #------ DEFAULT ajp13 WORKER DEFINITION ------------------------------ #--------------------------------------------------------------------- # Defining a worker named ajp13 and of type ajp13 # Note that the name and the type do not have to match. # worker.worker1.port=8009 worker.worker1.host=127.0.0.1 worker.worker1.type=ajp13 URIWorkerMap.properties /|/*=worker1 # Exclude the subdirectory static: !/static|/*=worker1 # Exclude some suffixes: !*.html=worker1 !*.asp=worker1 Server.xml <?xml version='1.0' encoding='utf-8'?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <!-- Note: A "Server" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/server.html --> <Server port="8005" shutdown="SHUTDOWN"> <!--APR library loader. Documentation at /docs/apr.html --> <Listener className="org.apache.catalina.core.AprLifecycleListener" SSLEngine="on" /> <!--Initialize Jasper prior to webapps are loaded. Documentation at /docs/jasper-howto.html --> <Listener className="org.apache.catalina.core.JasperListener" /> <!-- Prevent memory leaks due to use of particular java/javax APIs--> <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener" /> <!-- JMX Support for the Tomcat server. Documentation at /docs/non-existent.html --> <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener" /> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener" /> <!-- Global JNDI resources Documentation at /docs/jndi-resources-howto.html --> <GlobalNamingResources> <!-- Editable user database that can also be used by UserDatabaseRealm to authenticate users --> <Resource name="UserDatabase" auth="Container" type="org.apache.catalina.UserDatabase" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" pathname="conf/tomcat-users.xml" /> </GlobalNamingResources> <!-- A "Service" is a collection of one or more "Connectors" that share a single "Container" Note: A "Service" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/service.html --> <Service name="Catalina"> <!--The connectors can use a shared executor, you can define one or more named thread pools--> <!-- <Executor name="tomcatThreadPool" namePrefix="catalina-exec-" maxThreads="150" minSpareThreads="4"/> --> <!-- A "Connector" represents an endpoint by which requests are received and responses are returned. Documentation at : Java HTTP Connector: /docs/config/http.html (blocking & non-blocking) Java AJP Connector: /docs/config/ajp.html APR (HTTP/AJP) Connector: /docs/apr.html Define a non-SSL HTTP/1.1 Connector on port 8080 --> <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> <!-- A "Connector" using the shared thread pool--> <!-- <Connector executor="tomcatThreadPool" port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- Define a SSL HTTP/1.1 Connector on port 8443 This connector uses the JSSE configuration, when using APR, the connector should be using the OpenSSL style configuration described in the APR documentation --> <!-- <Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true" maxThreads="150" scheme="https" secure="true" clientAuth="false" sslProtocol="TLS" /> --> <!-- Define an AJP 1.3 Connector on port 8009 --> <Connector port="8009" protocol="AJP/1.3" redirectPort="8443" /> <!-- An Engine represents the entry point (within Catalina) that processes every request. The Engine implementation for Tomcat stand alone analyzes the HTTP headers included with the request, and passes them on to the appropriate Host (virtual host). Documentation at /docs/config/engine.html --> <!-- You should set jvmRoute to support load-balancing via AJP ie : <Engine name="Catalina" defaultHost="localhost" jvmRoute="jvm1"> --> <Engine name="Catalina" defaultHost="localhost"> <!--For clustering, please take a look at documentation at: /docs/cluster-howto.html (simple how to) /docs/config/cluster.html (reference documentation) --> <!-- <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> --> <!-- The request dumper valve dumps useful debugging information about the request and response data received and sent by Tomcat. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.RequestDumperValve"/> --> <!-- This Realm uses the UserDatabase configured in the global JNDI resources under the key "UserDatabase". Any edits that are performed against this UserDatabase are immediately available for use by the Realm. --> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> <!-- Define the default virtual host Note: XML Schema validation will not work with Xerces 2.2. --> <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true" xmlValidation="false" xmlNamespaceAware="false"> <!-- SingleSignOn valve, share authentication between web applications Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.authenticator.SingleSignOn" /> --> <!-- Access log processes all example. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="common" resolveHosts="false"/> --> </Host> </Engine> </Service> </Server> http://localhost:8080 is working, I can view the apps and configure them there... I'm quite new to IIS 7, I used to work with IIS 6. Thanks in advance, Yvan

    Read the article

  • How can I get FreeNAS to respond to libvirt shutdown requests

    - by ptomli
    I have a KVM VM of FreeNAS 0.7.1 Shere (revision 5127) running on Ubuntu Server 10.04 and I'm unable to convince the VM to shutdown from the host virsh shutdown freenas I would expect this to send some ACPI? trigger to the VM and FreeNAS then do what it's told. I'm not a FreeBSD fundi so I don't really know what packages or processes to poke to get this running. I have tried to convince powerd to run, but the VM cpus don't have the required freq entry Sysctl HW $ sysctl hw hw.machine: amd64 hw.model: QEMU Virtual CPU version 0.12.3 hw.ncpu: 1 hw.byteorder: 1234 hw.physmem: 523116544 hw.usermem: 463806464 hw.pagesize: 4096 hw.floatingpoint: 1 hw.machine_arch: amd64 hw.realmem: 536850432 hw.aac.iosize_max: 65536 hw.amr.force_sg32: 0 hw.an.an_cache_iponly: 1 hw.an.an_cache_mcastonly: 0 hw.an.an_cache_mode: dbm hw.an.an_dump: off hw.ata.to: 15 hw.ata.wc: 1 hw.ata.atapi_dma: 1 hw.ata.ata_dma_check_80pin: 1 hw.ata.ata_dma: 1 hw.ath.txbuf: 200 hw.ath.rxbuf: 40 hw.ath.regdomain: 0 hw.ath.countrycode: 0 hw.ath.xchanmode: 1 hw.ath.outdoor: 1 hw.ath.calibrate: 30 hw.ath.hal.swba_backoff: 0 hw.ath.hal.sw_brt: 10 hw.ath.hal.dma_brt: 2 hw.bce.msi_enable: 1 hw.bce.tso_enable: 1 hw.bge.allow_asf: 0 hw.cardbus.cis_debug: 0 hw.cardbus.debug: 0 hw.cs.recv_delay: 570 hw.cs.ignore_checksum_failure: 0 hw.cs.debug: 0 hw.cxgb.snd_queue_len: 50 hw.cxgb.use_16k_clusters: 1 hw.cxgb.force_fw_update: 0 hw.cxgb.singleq: 0 hw.cxgb.ofld_disable: 0 hw.cxgb.msi_allowed: 2 hw.cxgb.txq_mr_size: 1024 hw.cxgb.sleep_ticks: 1 hw.cxgb.tx_coalesce: 0 hw.firewire.hold_count: 3 hw.firewire.try_bmr: 1 hw.firewire.fwmem.speed: 2 hw.firewire.fwmem.eui64_lo: 0 hw.firewire.fwmem.eui64_hi: 0 hw.firewire.phydma_enable: 1 hw.firewire.nocyclemaster: 0 hw.firewire.fwe.rx_queue_len: 128 hw.firewire.fwe.tx_speed: 2 hw.firewire.fwe.stream_ch: 1 hw.firewire.fwip.rx_queue_len: 128 hw.firewire.sbp.tags: 0 hw.firewire.sbp.use_doorbell: 0 hw.firewire.sbp.scan_delay: 500 hw.firewire.sbp.login_delay: 1000 hw.firewire.sbp.exclusive_login: 1 hw.firewire.sbp.max_speed: -1 hw.firewire.sbp.auto_login: 1 hw.mfi.max_cmds: 128 hw.mfi.event_class: 0 hw.mfi.event_locale: 65535 hw.pccard.cis_debug: 0 hw.pccard.debug: 0 hw.cbb.debug: 0 hw.cbb.start_32_io: 4096 hw.cbb.start_16_io: 256 hw.cbb.start_memory: 2281701376 hw.pcic.pd6722_vsense: 1 hw.pcic.intr_mask: 57016 hw.pci.honor_msi_blacklist: 1 hw.pci.enable_msix: 1 hw.pci.enable_msi: 1 hw.pci.do_power_resume: 1 hw.pci.do_power_nodriver: 0 hw.pci.enable_io_modes: 1 hw.pci.host_mem_start: 2147483648 hw.syscons.kbd_debug: 1 hw.syscons.kbd_reboot: 1 hw.syscons.bell: 1 hw.syscons.saver.keybonly: 1 hw.syscons.sc_no_suspend_vtswitch: 0 hw.usb.uplcom.interval: 100 hw.usb.uvscom.interval: 100 hw.usb.uvscom.opktsize: 8 hw.wi.debug: 0 hw.wi.txerate: 0 hw.xe.debug: 0 hw.intr_storm_threshold: 1000 hw.availpages: 127714 hw.bus.devctl_disable: 0 hw.ste.rxsyncs: 0 hw.busdma.total_bpages: 32 hw.busdma.zone0.total_bpages: 32 hw.busdma.zone0.free_bpages: 32 hw.busdma.zone0.reserved_bpages: 0 hw.busdma.zone0.active_bpages: 0 hw.busdma.zone0.total_bounced: 0 hw.busdma.zone0.total_deferred: 0 hw.busdma.zone0.lowaddr: 0xffffffff hw.busdma.zone0.alignment: 2 hw.busdma.zone0.boundary: 65536 hw.clockrate: 2808 hw.instruction_sse: 1 hw.apic.enable_extint: 0 hw.kbd.keymap_restrict_change: 0 hw.acpi.supported_sleep_state: S3 S4 S5 hw.acpi.power_button_state: S5 hw.acpi.sleep_button_state: S3 hw.acpi.lid_switch_state: NONE hw.acpi.standby_state: S1 hw.acpi.suspend_state: S3 hw.acpi.sleep_delay: 1 hw.acpi.s4bios: 0 hw.acpi.verbose: 0 hw.acpi.disable_on_reboot: 0 hw.acpi.handle_reboot: 0 hw.acpi.cpu.cx_lowest: C1 Processes $ ps ax PID TT STAT TIME COMMAND 0 ?? DLs 0:00.00 [swapper] 1 ?? ILs 0:00.00 /sbin/init -- 2 ?? DL 0:00.08 [g_event] 3 ?? DL 0:00.29 [g_up] 4 ?? DL 0:00.33 [g_down] 5 ?? DL 0:00.00 [crypto] 6 ?? DL 0:00.00 [crypto returns] 7 ?? DL 0:00.00 [xpt_thrd] 8 ?? DL 0:00.00 [kqueue taskq] 9 ?? DL 0:00.00 [acpi_task_0] 10 ?? RL 34:12.42 [idle: cpu0] 11 ?? WL 0:01.13 [swi4: clock sio] 12 ?? WL 0:00.00 [swi3: vm] 13 ?? WL 0:00.00 [swi1: net] 14 ?? DL 0:00.04 [yarrow] 15 ?? WL 0:00.00 [swi6: task queue] 16 ?? WL 0:00.00 [swi2: cambio] 17 ?? DL 0:00.00 [acpi_task_1] 18 ?? DL 0:00.00 [acpi_task_2] 19 ?? WL 0:00.00 [swi5: +] 20 ?? DL 0:00.01 [thread taskq] 21 ?? WL 0:00.00 [swi6: Giant taskq] 22 ?? WL 0:00.00 [irq9: acpi0] 23 ?? WL 0:00.09 [irq14: ata0] 24 ?? WL 0:00.11 [irq15: ata1] 25 ?? WL 0:00.57 [irq11: ed0 uhci0] 26 ?? DL 0:00.00 [usb0] 27 ?? DL 0:00.00 [usbtask-hc] 28 ?? DL 0:00.00 [usbtask-dr] 29 ?? WL 0:00.01 [irq1: atkbd0] 30 ?? WL 0:00.00 [swi0: sio] 31 ?? DL 0:00.00 [sctp_iterator] 32 ?? DL 0:00.00 [pagedaemon] 33 ?? DL 0:00.00 [vmdaemon] 34 ?? DL 0:00.00 [idlepoll] 35 ?? DL 0:00.00 [pagezero] 36 ?? DL 0:00.01 [bufdaemon] 37 ?? DL 0:00.00 [vnlru] 38 ?? DL 0:00.14 [syncer] 39 ?? DL 0:00.01 [softdepflush] 1221 ?? Is 0:00.00 /sbin/devd 1289 ?? Is 0:00.01 /usr/sbin/syslogd -ss -f /var/etc/syslog.conf 1608 ?? Is 0:00.00 /usr/sbin/cron -s 1692 ?? Ss 0:00.03 /usr/local/sbin/mDNSResponderPosix -b -f /var/etc/mdn 1730 ?? S 0:00.43 /usr/local/sbin/lighttpd -f /var/etc/lighttpd.conf -m 1882 ?? DL 0:00.00 [system_taskq] 1883 ?? DL 0:00.00 [arc_reclaim_thread] 4139 ?? S 0:00.03 /usr/local/bin/php /usr/local/www/exec.php 4144 ?? S 0:00.00 sh -c ps ax 4145 ?? R 0:00.00 ps ax 1816 v0 Is 0:00.01 login [pam] (login) 1818 v0 I+ 0:00.03 -tcsh (csh) 1817 v1 Is+ 0:00.00 /usr/libexec/getty Pc ttyv1 1402 con- I 0:00.00 /usr/local/sbin/afpd -F /var/etc/afpd.conf 1404 con- S 0:00.00 /usr/local/sbin/cnid_metad 1682 con- I 0:02.78 /usr/local/sbin/mt-daapd -m -c /var/etc/mt-daapd.conf 1789 con- S 0:00.18 /usr/local/bin/fuppesd --config-dir /var/etc --config Libvert snippet <domain type='kvm'> <name>freenas</name> <uuid>********-****-****-****-************</uuid> <memory>524288</memory> <currentMemory>524288</currentMemory> <vcpu>1</vcpu> <os> <type arch='x86_64' machine='pc-0.12'>hvm</type> <boot dev='hd'/> </os> <features> <acpi/> <apic/> <pae/> </features> <clock offset='utc'/> <on_poweroff>destroy</on_poweroff> <on_reboot>restart</on_reboot> <on_crash>restart</on_crash> <devices> <emulator>/usr/bin/kvm</emulator> Is this possible? Ideally I'd like to be able to stop the host without having to manually deal with shutting down the VM.

    Read the article

  • ProFTPd server on Ubuntu getting access denied message when successfully authenticated?

    - by exxoid
    I have a Ubuntu box with a ProFTPD 1.3.4a Server, when I try to log in via my FTP Client I cannot do anything as it does not allow me to list directories; I have tried logging in as root and as a regular user and tried accessing different paths within the FTP Server. The error I get in my FTP Client is: Status: Retrieving directory listing... Command: CDUP Response: 250 CDUP command successful Command: PWD Response: 257 "/var" is the current directory Command: PASV Response: 227 Entering Passive Mode (172,16,4,22,237,205). Command: MLSD Response: 550 Access is denied. Error: Failed to retrieve directory listing Any idea? Here is the config of my proftpd: # # /etc/proftpd/proftpd.conf -- This is a basic ProFTPD configuration file. # To really apply changes, reload proftpd after modifications, if # it runs in daemon mode. It is not required in inetd/xinetd mode. # # Includes DSO modules Include /etc/proftpd/modules.conf # Set off to disable IPv6 support which is annoying on IPv4 only boxes. UseIPv6 off # If set on you can experience a longer connection delay in many cases. IdentLookups off ServerName "Drupal Intranet" ServerType standalone ServerIdent on "FTP Server ready" DeferWelcome on # Set the user and group that the server runs as User nobody Group nogroup MultilineRFC2228 on DefaultServer on ShowSymlinks on TimeoutNoTransfer 600 TimeoutStalled 600 TimeoutIdle 1200 DisplayLogin welcome.msg DisplayChdir .message true ListOptions "-l" DenyFilter \*.*/ # Use this to jail all users in their homes # DefaultRoot ~ # Users require a valid shell listed in /etc/shells to login. # Use this directive to release that constrain. # RequireValidShell off # Port 21 is the standard FTP port. Port 21 # In some cases you have to specify passive ports range to by-pass # firewall limitations. Ephemeral ports can be used for that, but # feel free to use a more narrow range. # PassivePorts 49152 65534 # If your host was NATted, this option is useful in order to # allow passive tranfers to work. You have to use your public # address and opening the passive ports used on your firewall as well. # MasqueradeAddress 1.2.3.4 # This is useful for masquerading address with dynamic IPs: # refresh any configured MasqueradeAddress directives every 8 hours <IfModule mod_dynmasq.c> # DynMasqRefresh 28800 </IfModule> # To prevent DoS attacks, set the maximum number of child processes # to 30. If you need to allow more than 30 concurrent connections # at once, simply increase this value. Note that this ONLY works # in standalone mode, in inetd mode you should use an inetd server # that allows you to limit maximum number of processes per service # (such as xinetd) MaxInstances 30 # Set the user and group that the server normally runs at. # Umask 022 is a good standard umask to prevent new files and dirs # (second parm) from being group and world writable. Umask 022 022 # Normally, we want files to be overwriteable. AllowOverwrite on # Uncomment this if you are using NIS or LDAP via NSS to retrieve passwords: # PersistentPasswd off # This is required to use both PAM-based authentication and local passwords AuthPAMConfig proftpd AuthOrder mod_auth_pam.c* mod_auth_unix.c # Be warned: use of this directive impacts CPU average load! # Uncomment this if you like to see progress and transfer rate with ftpwho # in downloads. That is not needed for uploads rates. # UseSendFile off TransferLog /var/log/proftpd/xferlog SystemLog /var/log/proftpd/proftpd.log # Logging onto /var/log/lastlog is enabled but set to off by default #UseLastlog on # In order to keep log file dates consistent after chroot, use timezone info # from /etc/localtime. If this is not set, and proftpd is configured to # chroot (e.g. DefaultRoot or <Anonymous>), it will use the non-daylight # savings timezone regardless of whether DST is in effect. #SetEnv TZ :/etc/localtime <IfModule mod_quotatab.c> QuotaEngine off </IfModule> <IfModule mod_ratio.c> Ratios off </IfModule> # Delay engine reduces impact of the so-called Timing Attack described in # http://www.securityfocus.com/bid/11430/discuss # It is on by default. <IfModule mod_delay.c> DelayEngine on </IfModule> <IfModule mod_ctrls.c> ControlsEngine off ControlsMaxClients 2 ControlsLog /var/log/proftpd/controls.log ControlsInterval 5 ControlsSocket /var/run/proftpd/proftpd.sock </IfModule> <IfModule mod_ctrls_admin.c> AdminControlsEngine off </IfModule> # # Alternative authentication frameworks # #Include /etc/proftpd/ldap.conf #Include /etc/proftpd/sql.conf # # This is used for FTPS connections # #Include /etc/proftpd/tls.conf # # Useful to keep VirtualHost/VirtualRoot directives separated # #Include /etc/proftpd/virtuals.con # A basic anonymous configuration, no upload directories. # <Anonymous ~ftp> # User ftp # Group nogroup # # We want clients to be able to login with "anonymous" as well as "ftp" # UserAlias anonymous ftp # # Cosmetic changes, all files belongs to ftp user # DirFakeUser on ftp # DirFakeGroup on ftp # # RequireValidShell off # # # Limit the maximum number of anonymous logins # MaxClients 10 # # # We want 'welcome.msg' displayed at login, and '.message' displayed # # in each newly chdired directory. # DisplayLogin welcome.msg # DisplayChdir .message # # # Limit WRITE everywhere in the anonymous chroot # <Directory *> # <Limit WRITE> # DenyAll # </Limit> # </Directory> # # # Uncomment this if you're brave. # # <Directory incoming> # # # Umask 022 is a good standard umask to prevent new files and dirs # # # (second parm) from being group and world writable. # # Umask 022 022 # # <Limit READ WRITE> # # DenyAll # # </Limit> # # <Limit STOR> # # AllowAll # # </Limit> # # </Directory> # # </Anonymous> # Include other custom configuration files Include /etc/proftpd/conf.d/ UseReverseDNS off <Global> RootLogin on UseFtpUsers on ServerIdent on DefaultChdir /var/www DeleteAbortedStores on LoginPasswordPrompt on AccessGrantMsg "You have been authenticated successfully." </Global> Any idea what could be wrong? Thanks for your help!

    Read the article

  • Linux servers going into Halt when pressing Control-D in putty or exit in the shell

    - by Itai Ganot
    Since today at noon, there's a number of Linux CentOS servers which are going to Halt whenever i type exit or use Control-D to close the putty window. Did anyone encounter this weird behavior before? I've checked the aliases list on the servers and there is no alias regarding halt command. After the server came online i've checked the history and saw a "logout" command there but nothing which is related to Halt. At first, i thought it happens only from my computer but later i realized that it happens to everyone which types exit, logout or control+d. 2 of these server are our main iptables firewalls and so it's super critical, your assistance is much appreciated. It looks like that, and it only happens on servers with active IPTables: [root@srv1 bin]# ssh srv2 root@srv2's password: Last login: Sun Nov 11 17:19:41 2012 from 192.168.12.98 [root@srv2 ~]# vim /etc/crontab [root@srv2 ~]# exit logout Broadcast message from root (pts/1) (Tue Nov 13 10:44:04 2012): The system is going down for system halt NOW! Connection to srv2 closed. [root@srv1 bin]# In my troubleshooting steps i came across the command strace, and so i've opened two bash windows to one of the problematic server and i used strace -p PID_of_bash. When i typed in exit in the first shell it did go to halt, attached is the strace output, if you can check it out and tell me if you see anything suspicious i'd be more than thankful. RER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGALRM, {0x4484f0, [HUP INT ILL TRAP ABRT BUS FPE USR1 SEGV USR2 PIPE ALRM TERM XCPU XFSZ VTALRM SYS], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTSTP, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTOU, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTIN, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGWINCH, {0x448370, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c410, [], SA_RESTORER|SA_RESTART, 0x2b0e45a8f2f0}, 8) = 0 socket(PF_NETLINK, SOCK_RAW, 9) = 3 sendmsg(3, {msg_name(12)={sa_family=AF_NETLINK, pid=0, groups=00000000}, msg_iov(2)=[{"\25\0\0\0d\4\1\0\0\0\0\0\0\0\0\0", 16}, {"exit\0", 5}], msg_controllen=0, msg_flags=0}, 0) = 21 close(3) = 0 rt_sigaction(SIGINT, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 write(2, "logout\n", 7) = 7 write(2, "There are stopped jobs.\n", 24) = 24 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 rt_sigaction(SIGINT, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 rt_sigprocmask(SIG_BLOCK, [INT CHLD], [], 8) = 0 pipe([3, 4]) = 0 clone(child_stack=0, flags=CLONE_CHILD_CLEARTID|CLONE_CHILD_SETTID|SIGCHLD, child_tidptr=0x2b0e45db6fe0) = 23717 setpgid(23717, 23717) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD], [], 8) = 0 close(3) = 0 close(4) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD TSTP TTIN TTOU], [CHLD], 8) = 0 ioctl(255, TIOCSPGRP, [23717]) = 0 rt_sigprocmask(SIG_SETMASK, [CHLD], NULL, 8) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD], [], 8) = 0 wait4(-1, [{WIFEXITED(s) && WEXITSTATUS(s) == 0}], WSTOPPED|WCONTINUED, NULL) = 23717 rt_sigprocmask(SIG_BLOCK, [CHLD TSTP TTIN TTOU], [CHLD], 8) = 0 ioctl(255, TIOCSPGRP, [20458]) = 0 rt_sigprocmask(SIG_SETMASK, [CHLD], NULL, 8) = 0 ioctl(255, SNDCTL_TMR_TIMEBASE or TCGETS, {B38400 opost isig icanon echo ...}) = 0 ioctl(255, TIOCGWINSZ, {ws_row=53, ws_col=211, ws_xpixel=0, ws_ypixel=0}) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 --- SIGCHLD (Child exited) @ 0 (0) --- wait4(-1, 0x7fff395da984, WNOHANG|WSTOPPED|WCONTINUED, NULL) = 0 rt_sigreturn(0x11) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD TSTP TTIN TTOU], [], 8) = 0 ioctl(255, TIOCSPGRP, [20458]) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigaction(SIGINT, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigprocmask(SIG_BLOCK, [INT], [], 8) = 0 ioctl(0, TIOCGWINSZ, {ws_row=53, ws_col=211, ws_xpixel=0, ws_ypixel=0}) = 0 ioctl(0, TIOCSWINSZ, {ws_row=53, ws_col=211, ws_xpixel=0, ws_ypixel=0}) = 0 ioctl(0, SNDCTL_TMR_TIMEBASE or TCGETS, {B38400 opost isig icanon echo ...}) = 0 ioctl(0, SNDCTL_TMR_STOP or TCSETSW, {B38400 opost isig -icanon -echo ...}) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigprocmask(SIG_BLOCK, [INT QUIT ALRM TSTP TTIN TTOU], [], 8) = 0 rt_sigaction(SIGINT, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTERM, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTERM, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGQUIT, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGQUIT, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGALRM, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x4484f0, [HUP INT ILL TRAP ABRT BUS FPE USR1 SEGV USR2 PIPE ALRM TERM XCPU XFSZ VTALRM SYS], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTSTP, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTSTP, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTOU, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTOU, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTIN, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTIN, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigaction(SIGWINCH, {0x47c410, [], SA_RESTORER|SA_RESTART, 0x2b0e45a8f2f0}, {0x448370, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 write(2, "[root@g2-lga ~]# ", 17) = 17 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 read(0, "e", 1) = 1 write(2, "e", 1) = 1 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 read(0, "x", 1) = 1 write(2, "x", 1) = 1 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 read(0, "i", 1) = 1 write(2, "i", 1) = 1 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 read(0, "t", 1) = 1 write(2, "t", 1) = 1 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 read(0, "\r", 1) = 1 write(2, "\n", 1) = 1 rt_sigprocmask(SIG_BLOCK, [INT], [], 8) = 0 ioctl(0, SNDCTL_TMR_STOP or TCSETSW, {B38400 opost isig icanon echo ...}) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigaction(SIGINT, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTERM, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGQUIT, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGALRM, {0x4484f0, [HUP INT ILL TRAP ABRT BUS FPE USR1 SEGV USR2 PIPE ALRM TERM XCPU XFSZ VTALRM SYS], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c450, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTSTP, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTOU, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGTTIN, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x1, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 rt_sigaction(SIGWINCH, {0x448370, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x47c410, [], SA_RESTORER|SA_RESTART, 0x2b0e45a8f2f0}, 8) = 0 socket(PF_NETLINK, SOCK_RAW, 9) = 3 sendmsg(3, {msg_name(12)={sa_family=AF_NETLINK, pid=0, groups=00000000}, msg_iov(2)=[{"\25\0\0\0d\4\1\0\0\0\0\0\0\0\0\0", 16}, {"exit\0", 5}], msg_controllen=0, msg_flags=0}, 0) = 21 close(3) = 0 rt_sigaction(SIGINT, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 write(2, "logout\n", 7) = 7 open("/root/.bash_logout", O_RDONLY) = 3 fstat(3, {st_mode=S_IFREG|0644, st_size=24, ...}) = 0 read(3, "# ~/.bash_logout\n\nclear\n", 24) = 24 close(3) = 0 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 rt_sigprocmask(SIG_BLOCK, NULL, [], 8) = 0 stat(".", {st_mode=S_IFDIR|0750, st_size=12288, ...}) = 0 stat("/usr/kerberos/sbin/clear", 0x7fff395da960) = -1 ENOENT (No such file or directory) stat("/usr/kerberos/bin/clear", 0x7fff395da960) = -1 ENOENT (No such file or directory) stat("/usr/local/sbin/clear", 0x7fff395da960) = -1 ENOENT (No such file or directory) stat("/usr/local/bin/clear", 0x7fff395da960) = -1 ENOENT (No such file or directory) stat("/sbin/clear", 0x7fff395da960) = -1 ENOENT (No such file or directory) stat("/bin/clear", 0x7fff395da960) = -1 ENOENT (No such file or directory) stat("/usr/sbin/clear", 0x7fff395da960) = -1 ENOENT (No such file or directory) stat("/usr/bin/clear", {st_mode=S_IFREG|0755, st_size=12712, ...}) = 0 access("/usr/bin/clear", X_OK) = 0 access("/usr/bin/clear", R_OK) = 0 stat("/usr/bin/clear", {st_mode=S_IFREG|0755, st_size=12712, ...}) = 0 access("/usr/bin/clear", X_OK) = 0 access("/usr/bin/clear", R_OK) = 0 rt_sigprocmask(SIG_BLOCK, [INT CHLD], [], 8) = 0 pipe([3, 4]) = 0 clone(child_stack=0, flags=CLONE_CHILD_CLEARTID|CLONE_CHILD_SETTID|SIGCHLD, child_tidptr=0x2b0e45db6fe0) = 23726 setpgid(23726, 23726) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD], [], 8) = 0 close(3) = 0 close(4) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD TSTP TTIN TTOU], [CHLD], 8) = 0 ioctl(255, TIOCSPGRP, [23726]) = 0 rt_sigprocmask(SIG_SETMASK, [CHLD], NULL, 8) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD], [], 8) = 0 wait4(-1, Broadcast message from root (pts/0) (Wed Nov 14 12:41:44 2012): The system is going down for system halt NOW! [{WIFEXITED(s) && WEXITSTATUS(s) == 0}], WSTOPPED|WCONTINUED, NULL) = 23726 rt_sigprocmask(SIG_BLOCK, [CHLD TSTP TTIN TTOU], [CHLD], 8) = 0 ioctl(255, TIOCSPGRP, [20458]) = 0 rt_sigprocmask(SIG_SETMASK, [CHLD], NULL, 8) = 0 ioctl(255, SNDCTL_TMR_TIMEBASE or TCGETS, {B38400 opost isig icanon echo ...}) = 0 ioctl(255, TIOCGWINSZ, {ws_row=53, ws_col=211, ws_xpixel=0, ws_ypixel=0}) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 --- SIGCHLD (Child exited) @ 0 (0) --- wait4(-1, 0x7fff395da634, WNOHANG|WSTOPPED|WCONTINUED, NULL) = 0 rt_sigreturn(0x11) = 0 open("/etc/bash.bash_logout", O_RDONLY) = -1 ENOENT (No such file or directory) rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 rt_sigaction(SIGINT, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, {0x448700, [], SA_RESTORER, 0x2b0e45a8f2f0}, 8) = 0 stat("/root/.bash_history", {st_mode=S_IFREG|0600, st_size=28900, ...}) = 0 open("/root/.bash_history", O_WRONLY|O_APPEND) = 3 write(3, "cd /etc/profile.d/\nls\nls -alrt\ng"..., 1120) = 1120 close(3) = 0 open("/root/.bash_history", O_RDONLY) = 3 fstat(3, {st_mode=S_IFREG|0600, st_size=30020, ...}) = 0 read(3, "history \nping g1-lga\nping g1-lga"..., 30020) = 30020 close(3) = 0 open("/root/.bash_history", O_WRONLY|O_TRUNC) = 3 write(3, "grep \"216.18\" *\nhistory \nexit\nvi"..., 27609) = 27609 close(3) = 0 kill(4294965658, SIGTERM) = 0 kill(4294965658, SIGCONT) = 0 --- SIGCHLD (Child exited) @ 0 (0) --- wait4(-1, [{WIFSIGNALED(s) && WTERMSIG(s) == SIGTERM}], WNOHANG|WSTOPPED|WCONTINUED, NULL) = 1638 wait4(-1, 0x7fff395dac34, WNOHANG|WSTOPPED|WCONTINUED, NULL) = -1 ECHILD (No child processes) rt_sigreturn(0x11) = 0 --- SIGCHLD (Child exited) @ 0 (0) --- wait4(-1, 0x7fff395dac34, WNOHANG|WSTOPPED|WCONTINUED, NULL) = -1 ECHILD (No child processes) rt_sigreturn(0xffffffffffffffff) = 0 rt_sigprocmask(SIG_BLOCK, [CHLD TSTP TTIN TTOU], [], 8) = 0 ioctl(255, TIOCSPGRP, [20458]) = 0 rt_sigprocmask(SIG_SETMASK, [], NULL, 8) = 0 setpgid(0, 20458) = -1 EPERM (Operation not permitted) exit_group(1) = ? Process 20458 detached [root@g2-lga ~]#

    Read the article

  • cannot access localhost using ip

    - by Robert
    I have done a small web development project using eclipse. It runs well when I try running it on browser with url localhost:8080/myproject/home.html. But if I want to access it on another machine (laptop, mobile, etc. using the same wifi) it is not possible; it is not able to connect. After Googling for a while found out that I have to use the IP address instead of 'localhost'. So I tried 10.0.0.4:8080/myproject/home.html, but still does not work. In fact i am unable to open that url on the same machine (where localhost:8080/myproject/home.html works fine). I also added a new Inbound rule in control panel firewall settings, allowing access to all ports for protocol TCP. Still have problem in running application with the url 10.0.0.4:8080/myproject/home.html (both on same machine as well as laptop and mobile). FYI i am using Eclipse Indigo, Apache tomcat 6.0 and server.xml file contents is as below: <?xml version="1.0" encoding="UTF-8"?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --><!-- Note: A "Server" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/server.html --><Server port="8005" shutdown="SHUTDOWN"> <!--APR library loader. Documentation at /docs/apr.html --> <Listener SSLEngine="on" className="org.apache.catalina.core.AprLifecycleListener"/> <!--Initialize Jasper prior to webapps are loaded. Documentation at /docs/jasper-howto.html --> <Listener className="org.apache.catalina.core.JasperListener"/> <!-- Prevent memory leaks due to use of particular java/javax APIs--> <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener"/> <!-- JMX Support for the Tomcat server. Documentation at /docs/non-existent.html --> <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener"/> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener"/> <!-- Global JNDI resources Documentation at /docs/jndi-resources-howto.html --> <GlobalNamingResources> <!-- Editable user database that can also be used by UserDatabaseRealm to authenticate users --> <Resource auth="Container" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" name="UserDatabase" pathname="conf/tomcat-users.xml" type="org.apache.catalina.UserDatabase"/> </GlobalNamingResources> <!-- A "Service" is a collection of one or more "Connectors" that share a single "Container" Note: A "Service" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/service.html --> <Service name="Catalina"> <!--The connectors can use a shared executor, you can define one or more named thread pools--> <!-- <Executor name="tomcatThreadPool" namePrefix="catalina-exec-" maxThreads="150" minSpareThreads="4"/> --> <!-- A "Connector" represents an endpoint by which requests are received and responses are returned. Documentation at : Java HTTP Connector: /docs/config/http.html (blocking & non-blocking) Java AJP Connector: /docs/config/ajp.html APR (HTTP/AJP) Connector: /docs/apr.html Define a non-SSL HTTP/1.1 Connector on port 8080 --> <Connector port="8080" protocol="HTTP/1.1" address="10.0.0.4" connectionTimeout="20000" redirectPort="8443" /> <!-- A "Connector" using the shared thread pool--> <!-- <Connector executor="tomcatThreadPool" port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- Define a SSL HTTP/1.1 Connector on port 8443 This connector uses the JSSE configuration, when using APR, the connector should be using the OpenSSL style configuration described in the APR documentation --> <!-- <Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true" maxThreads="150" scheme="https" secure="true" clientAuth="false" sslProtocol="TLS" /> --> <!-- Define an AJP 1.3 Connector on port 8009 --> <Connector port="8009" protocol="AJP/1.3" redirectPort="8443"/> <!-- An Engine represents the entry point (within Catalina) that processes every request. The Engine implementation for Tomcat stand alone analyzes the HTTP headers included with the request, and passes them on to the appropriate Host (virtual host). Documentation at /docs/config/engine.html --> <!-- You should set jvmRoute to support load-balancing via AJP ie : <Engine name="Catalina" defaultHost="localhost" jvmRoute="jvm1"> --> <Engine defaultHost="localhost" name="Catalina"> <!--For clustering, please take a look at documentation at: /docs/cluster-howto.html (simple how to) /docs/config/cluster.html (reference documentation) --> <!-- <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> --> <!-- The request dumper valve dumps useful debugging information about the request and response data received and sent by Tomcat. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.RequestDumperValve"/> --> <!-- This Realm uses the UserDatabase configured in the global JNDI resources under the key "UserDatabase". Any edits that are performed against this UserDatabase are immediately available for use by the Realm. --> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> <!-- Define the default virtual host Note: XML Schema validation will not work with Xerces 2.2. --> <Host appBase="webapps" autoDeploy="true" name="localhost" unpackWARs="true" xmlNamespaceAware="false" xmlValidation="false"> <!-- SingleSignOn valve, share authentication between web applications Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.authenticator.SingleSignOn" /> --> <!-- Access log processes all example. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="common" resolveHosts="false"/> --> <Context docBase="myproject" path="/myproject" reloadable="true" source="org.eclipse.jst.jee.server:myproject"/></Host> </Engine> </Service> </Server>

    Read the article

  • SQL Server Editions and Integration Services

    The SQL Server 2005 and SQL Server 2008 product family has quite a few editions now, so what does this mean for SQL Server Integration Services? Starting from the bottom we have the free edition known as Express, and the entry level Workgroup edition, as well as the new Web edition. None of these three include the full SSIS product, but they do all include the SQL Server Import and Export Wizard, with access to basic data sources but nothing more, so for simple loading and extraction of data this should suffice. You will not be able to build packages though, this is just a one shot deal aimed at using the wizard on an ad-hoc basis. To get the full power of Integration Services you need to start with Standard edition. This includes the BI Development Studio, for building your own packages, and fully functional IDE integrated into Visual Studio. (You get the full VS 2005/2008 IDE with the product). All core functions will be available but with a restricted set of transformations and tasks. The SQL Server 2005 Features Comparison or Features Supported by the Editions of SQL Server 2008 describes standard edition as having basic transforms, compared to Enterprise which includes the advanced transforms. I think basic is a little harsh considering the power you get with Standard, but the advanced covers the truly ground-breaking capabilities of data mining, text mining and cleansing or fuzzy transforms. The power of performing these operations within your ETL pipeline should not be underestimated, but not all processes will require these capabilities, so it seems like a reasonable delineation. Thankfully there are no feature limitations or artificial governors within Standard compared to Enterprise. The same control flow and data flow engines underpin both editions, with the same configuration and deployment options allowing you to work seamlessly between environments and editions if using the common components. In fact there are no govenors at all in SSIS, so whilst the SQL Database engine is limited to 4 CPUs in Standard edition, SSIS is only limited by the base operating system. The advanced transforms only available with Enterprise edition: Data Mining Training Destination Data Mining Query Component Fuzzy Grouping Fuzzy Lookup Term Extraction Term Lookup Dimension Processing Destination Partition Processing Destination The advanced tasks only available with Enterprise edition: Data Mining Query Task So in summary, if you want SQL Server Integration Services, you need SQL Server Standard edition, and for the more advanced tasks and transforms you need SQL Server Enterprise edition. To recap, the answer to the often asked question is no, SQL Server Integration Services is not available in SQL Server Express or Workgroup editions.

    Read the article

  • SQL SERVER – Remove Debug Button in SSMS – SQL in Sixty Seconds #020 – Video

    - by pinaldave
    SQL in Sixty Seconds is indeed tremendous fun to do. Every week, we try to come up with some new learning which we can share in Sixty Seconds. In this busy world, we all have sixty seconds to learn something new – no matter how much busy we are. In this episode of the series, we talk about another interesting feature of SQL Server Management Studio. In SQL Server Management Studio (SSMS) we have two button side by side. 1) Execute (!) and 2) Debug (>). It is quite confusing to a few developers. The debug button which looks like a play button encourages developers to click on the same thinking it will execute the code. Also developer with a Visual Studio background often click it because of their habit. However, Debug button is not the same as Execute button. In most of the cases developers want to click on Execute to run the query but by mistake they click on Debug and it wastes their valuable time. It is very easy to fix this. If developers are not frequently using a debug feature in SQL Server they should hide it from the toolbar itself. This will reduce the chances to incorrectly click on the debug button greatly as well save lots of time for developer as invoking debug processes and turning it off takes a few extra moments. In this Sixty second video we will discuss how one can hide the debug button and avoid confusion regarding execution button. I personally use function key F5 to execute the T-SQL code so I do not face this problem that often. More on Removing Debug Button in SSMS: SQL SERVER – Read Only Files and SQL Server Management Studio (SSMS) SQL SERVER – Standard Reports from SQL Server Management Studio – SQL in Sixty Seconds #016 – Video SQL SERVER – Discard Results After Query Execution – SSMS SQL SERVER – Tricks to Comment T-SQL in SSMS – SQL in Sixty Seconds #019 – Video SQL SERVER – Right Aligning Numerics in SQL Server Management Studio (SSMS) I encourage you to submit your ideas for SQL in Sixty Seconds. We will try to accommodate as many as we can. If we like your idea we promise to share with you educational material. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video

    Read the article

  • Improving Partitioned Table Join Performance

    - by Paul White
    The query optimizer does not always choose an optimal strategy when joining partitioned tables. This post looks at an example, showing how a manual rewrite of the query can almost double performance, while reducing the memory grant to almost nothing. Test Data The two tables in this example use a common partitioning partition scheme. The partition function uses 41 equal-size partitions: CREATE PARTITION FUNCTION PFT (integer) AS RANGE RIGHT FOR VALUES ( 125000, 250000, 375000, 500000, 625000, 750000, 875000, 1000000, 1125000, 1250000, 1375000, 1500000, 1625000, 1750000, 1875000, 2000000, 2125000, 2250000, 2375000, 2500000, 2625000, 2750000, 2875000, 3000000, 3125000, 3250000, 3375000, 3500000, 3625000, 3750000, 3875000, 4000000, 4125000, 4250000, 4375000, 4500000, 4625000, 4750000, 4875000, 5000000 ); GO CREATE PARTITION SCHEME PST AS PARTITION PFT ALL TO ([PRIMARY]); There two tables are: CREATE TABLE dbo.T1 ( TID integer NOT NULL IDENTITY(0,1), Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T1 PRIMARY KEY CLUSTERED (TID) ON PST (TID) );   CREATE TABLE dbo.T2 ( TID integer NOT NULL, Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T2 PRIMARY KEY CLUSTERED (TID, Column1) ON PST (TID) ); The next script loads 5 million rows into T1 with a pseudo-random value between 1 and 5 for Column1. The table is partitioned on the IDENTITY column TID: INSERT dbo.T1 WITH (TABLOCKX) (Column1) SELECT (ABS(CHECKSUM(NEWID())) % 5) + 1 FROM dbo.Numbers AS N WHERE n BETWEEN 1 AND 5000000; In case you don’t already have an auxiliary table of numbers lying around, here’s a script to create one with 10 million rows: CREATE TABLE dbo.Numbers (n bigint PRIMARY KEY);   WITH L0 AS(SELECT 1 AS c UNION ALL SELECT 1), L1 AS(SELECT 1 AS c FROM L0 AS A CROSS JOIN L0 AS B), L2 AS(SELECT 1 AS c FROM L1 AS A CROSS JOIN L1 AS B), L3 AS(SELECT 1 AS c FROM L2 AS A CROSS JOIN L2 AS B), L4 AS(SELECT 1 AS c FROM L3 AS A CROSS JOIN L3 AS B), L5 AS(SELECT 1 AS c FROM L4 AS A CROSS JOIN L4 AS B), Nums AS(SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS n FROM L5) INSERT dbo.Numbers WITH (TABLOCKX) SELECT TOP (10000000) n FROM Nums ORDER BY n OPTION (MAXDOP 1); Table T1 contains data like this: Next we load data into table T2. The relationship between the two tables is that table 2 contains ‘n’ rows for each row in table 1, where ‘n’ is determined by the value in Column1 of table T1. There is nothing particularly special about the data or distribution, by the way. INSERT dbo.T2 WITH (TABLOCKX) (TID, Column1) SELECT T.TID, N.n FROM dbo.T1 AS T JOIN dbo.Numbers AS N ON N.n >= 1 AND N.n <= T.Column1; Table T2 ends up containing about 15 million rows: The primary key for table T2 is a combination of TID and Column1. The data is partitioned according to the value in column TID alone. Partition Distribution The following query shows the number of rows in each partition of table T1: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T1 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are 40 partitions containing 125,000 rows (40 * 125k = 5m rows). The rightmost partition remains empty. The next query shows the distribution for table 2: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T2 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are roughly 375,000 rows in each partition (the rightmost partition is also empty): Ok, that’s the test data done. Test Query and Execution Plan The task is to count the rows resulting from joining tables 1 and 2 on the TID column: SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; The optimizer chooses a plan using parallel hash join, and partial aggregation: The Plan Explorer plan tree view shows accurate cardinality estimates and an even distribution of rows across threads (click to enlarge the image): With a warm data cache, the STATISTICS IO output shows that no physical I/O was needed, and all 41 partitions were touched: Running the query without actual execution plan or STATISTICS IO information for maximum performance, the query returns in around 2600ms. Execution Plan Analysis The first step toward improving on the execution plan produced by the query optimizer is to understand how it works, at least in outline. The two parallel Clustered Index Scans use multiple threads to read rows from tables T1 and T2. Parallel scan uses a demand-based scheme where threads are given page(s) to scan from the table as needed. This arrangement has certain important advantages, but does result in an unpredictable distribution of rows amongst threads. The point is that multiple threads cooperate to scan the whole table, but it is impossible to predict which rows end up on which threads. For correct results from the parallel hash join, the execution plan has to ensure that rows from T1 and T2 that might join are processed on the same thread. For example, if a row from T1 with join key value ‘1234’ is placed in thread 5’s hash table, the execution plan must guarantee that any rows from T2 that also have join key value ‘1234’ probe thread 5’s hash table for matches. The way this guarantee is enforced in this parallel hash join plan is by repartitioning rows to threads after each parallel scan. The two repartitioning exchanges route rows to threads using a hash function over the hash join keys. The two repartitioning exchanges use the same hash function so rows from T1 and T2 with the same join key must end up on the same hash join thread. Expensive Exchanges This business of repartitioning rows between threads can be very expensive, especially if a large number of rows is involved. The execution plan selected by the optimizer moves 5 million rows through one repartitioning exchange and around 15 million across the other. As a first step toward removing these exchanges, consider the execution plan selected by the optimizer if we join just one partition from each table, disallowing parallelism: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = 1 AND $PARTITION.PFT(T2.TID) = 1 OPTION (MAXDOP 1); The optimizer has chosen a (one-to-many) merge join instead of a hash join. The single-partition query completes in around 100ms. If everything scaled linearly, we would expect that extending this strategy to all 40 populated partitions would result in an execution time around 4000ms. Using parallelism could reduce that further, perhaps to be competitive with the parallel hash join chosen by the optimizer. This raises a question. If the most efficient way to join one partition from each of the tables is to use a merge join, why does the optimizer not choose a merge join for the full query? Forcing a Merge Join Let’s force the optimizer to use a merge join on the test query using a hint: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN); This is the execution plan selected by the optimizer: This plan results in the same number of logical reads reported previously, but instead of 2600ms the query takes 5000ms. The natural explanation for this drop in performance is that the merge join plan is only using a single thread, whereas the parallel hash join plan could use multiple threads. Parallel Merge Join We can get a parallel merge join plan using the same query hint as before, and adding trace flag 8649: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN, QUERYTRACEON 8649); The execution plan is: This looks promising. It uses a similar strategy to distribute work across threads as seen for the parallel hash join. In practice though, performance is disappointing. On a typical run, the parallel merge plan runs for around 8400ms; slower than the single-threaded merge join plan (5000ms) and much worse than the 2600ms for the parallel hash join. We seem to be going backwards! The logical reads for the parallel merge are still exactly the same as before, with no physical IOs. The cardinality estimates and thread distribution are also still very good (click to enlarge): A big clue to the reason for the poor performance is shown in the wait statistics (captured by Plan Explorer Pro): CXPACKET waits require careful interpretation, and are most often benign, but in this case excessive waiting occurs at the repartitioning exchanges. Unlike the parallel hash join, the repartitioning exchanges in this plan are order-preserving ‘merging’ exchanges (because merge join requires ordered inputs): Parallelism works best when threads can just grab any available unit of work and get on with processing it. Preserving order introduces inter-thread dependencies that can easily lead to significant waits occurring. In extreme cases, these dependencies can result in an intra-query deadlock, though the details of that will have to wait for another time to explore in detail. The potential for waits and deadlocks leads the query optimizer to cost parallel merge join relatively highly, especially as the degree of parallelism (DOP) increases. This high costing resulted in the optimizer choosing a serial merge join rather than parallel in this case. The test results certainly confirm its reasoning. Collocated Joins In SQL Server 2008 and later, the optimizer has another available strategy when joining tables that share a common partition scheme. This strategy is a collocated join, also known as as a per-partition join. It can be applied in both serial and parallel execution plans, though it is limited to 2-way joins in the current optimizer. Whether the optimizer chooses a collocated join or not depends on cost estimation. The primary benefits of a collocated join are that it eliminates an exchange and requires less memory, as we will see next. Costing and Plan Selection The query optimizer did consider a collocated join for our original query, but it was rejected on cost grounds. The parallel hash join with repartitioning exchanges appeared to be a cheaper option. There is no query hint to force a collocated join, so we have to mess with the costing framework to produce one for our test query. Pretending that IOs cost 50 times more than usual is enough to convince the optimizer to use collocated join with our test query: -- Pretend IOs are 50x cost temporarily DBCC SETIOWEIGHT(50);   -- Co-located hash join SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (RECOMPILE);   -- Reset IO costing DBCC SETIOWEIGHT(1); Collocated Join Plan The estimated execution plan for the collocated join is: The Constant Scan contains one row for each partition of the shared partitioning scheme, from 1 to 41. The hash repartitioning exchanges seen previously are replaced by a single Distribute Streams exchange using Demand partitioning. Demand partitioning means that the next partition id is given to the next parallel thread that asks for one. My test machine has eight logical processors, and all are available for SQL Server to use. As a result, there are eight threads in the single parallel branch in this plan, each processing one partition from each table at a time. Once a thread finishes processing a partition, it grabs a new partition number from the Distribute Streams exchange…and so on until all partitions have been processed. It is important to understand that the parallel scans in this plan are different from the parallel hash join plan. Although the scans have the same parallelism icon, tables T1 and T2 are not being co-operatively scanned by multiple threads in the same way. Each thread reads a single partition of T1 and performs a hash match join with the same partition from table T2. The properties of the two Clustered Index Scans show a Seek Predicate (unusual for a scan!) limiting the rows to a single partition: The crucial point is that the join between T1 and T2 is on TID, and TID is the partitioning column for both tables. A thread that processes partition ‘n’ is guaranteed to see all rows that can possibly join on TID for that partition. In addition, no other thread will see rows from that partition, so this removes the need for repartitioning exchanges. CPU and Memory Efficiency Improvements The collocated join has removed two expensive repartitioning exchanges and added a single exchange processing 41 rows (one for each partition id). Remember, the parallel hash join plan exchanges had to process 5 million and 15 million rows. The amount of processor time spent on exchanges will be much lower in the collocated join plan. In addition, the collocated join plan has a maximum of 8 threads processing single partitions at any one time. The 41 partitions will all be processed eventually, but a new partition is not started until a thread asks for it. Threads can reuse hash table memory for the new partition. The parallel hash join plan also had 8 hash tables, but with all 5,000,000 build rows loaded at the same time. The collocated plan needs memory for only 8 * 125,000 = 1,000,000 rows at any one time. Collocated Hash Join Performance The collated join plan has disappointing performance in this case. The query runs for around 25,300ms despite the same IO statistics as usual. This is much the worst result so far, so what went wrong? It turns out that cardinality estimation for the single partition scans of table T1 is slightly low. The properties of the Clustered Index Scan of T1 (graphic immediately above) show the estimation was for 121,951 rows. This is a small shortfall compared with the 125,000 rows actually encountered, but it was enough to cause the hash join to spill to physical tempdb: A level 1 spill doesn’t sound too bad, until you realize that the spill to tempdb probably occurs for each of the 41 partitions. As a side note, the cardinality estimation error is a little surprising because the system tables accurately show there are 125,000 rows in every partition of T1. Unfortunately, the optimizer uses regular column and index statistics to derive cardinality estimates here rather than system table information (e.g. sys.partitions). Collocated Merge Join We will never know how well the collocated parallel hash join plan might have worked without the cardinality estimation error (and the resulting 41 spills to tempdb) but we do know: Merge join does not require a memory grant; and Merge join was the optimizer’s preferred join option for a single partition join Putting this all together, what we would really like to see is the same collocated join strategy, but using merge join instead of hash join. Unfortunately, the current query optimizer cannot produce a collocated merge join; it only knows how to do collocated hash join. So where does this leave us? CROSS APPLY sys.partitions We can try to write our own collocated join query. We can use sys.partitions to find the partition numbers, and CROSS APPLY to get a count per partition, with a final step to sum the partial counts. The following query implements this idea: SELECT row_count = SUM(Subtotals.cnt) FROM ( -- Partition numbers SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1 ) AS P CROSS APPLY ( -- Count per collocated join SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals; The estimated plan is: The cardinality estimates aren’t all that good here, especially the estimate for the scan of the system table underlying the sys.partitions view. Nevertheless, the plan shape is heading toward where we would like to be. Each partition number from the system table results in a per-partition scan of T1 and T2, a one-to-many Merge Join, and a Stream Aggregate to compute the partial counts. The final Stream Aggregate just sums the partial counts. Execution time for this query is around 3,500ms, with the same IO statistics as always. This compares favourably with 5,000ms for the serial plan produced by the optimizer with the OPTION (MERGE JOIN) hint. This is another case of the sum of the parts being less than the whole – summing 41 partial counts from 41 single-partition merge joins is faster than a single merge join and count over all partitions. Even so, this single-threaded collocated merge join is not as quick as the original parallel hash join plan, which executed in 2,600ms. On the positive side, our collocated merge join uses only one logical processor and requires no memory grant. The parallel hash join plan used 16 threads and reserved 569 MB of memory:   Using a Temporary Table Our collocated merge join plan should benefit from parallelism. The reason parallelism is not being used is that the query references a system table. We can work around that by writing the partition numbers to a temporary table (or table variable): SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   CREATE TABLE #P ( partition_number integer PRIMARY KEY);   INSERT #P (partition_number) SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1;   SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals;   DROP TABLE #P;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; Using the temporary table adds a few logical reads, but the overall execution time is still around 3500ms, indistinguishable from the same query without the temporary table. The problem is that the query optimizer still doesn’t choose a parallel plan for this query, though the removal of the system table reference means that it could if it chose to: In fact the optimizer did enter the parallel plan phase of query optimization (running search 1 for a second time): Unfortunately, the parallel plan found seemed to be more expensive than the serial plan. This is a crazy result, caused by the optimizer’s cost model not reducing operator CPU costs on the inner side of a nested loops join. Don’t get me started on that, we’ll be here all night. In this plan, everything expensive happens on the inner side of a nested loops join. Without a CPU cost reduction to compensate for the added cost of exchange operators, candidate parallel plans always look more expensive to the optimizer than the equivalent serial plan. Parallel Collocated Merge Join We can produce the desired parallel plan using trace flag 8649 again: SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: One difference between this plan and the collocated hash join plan is that a Repartition Streams exchange operator is used instead of Distribute Streams. The effect is similar, though not quite identical. The Repartition uses round-robin partitioning, meaning the next partition id is pushed to the next thread in sequence. The Distribute Streams exchange seen earlier used Demand partitioning, meaning the next partition id is pulled across the exchange by the next thread that is ready for more work. There are subtle performance implications for each partitioning option, but going into that would again take us too far off the main point of this post. Performance The important thing is the performance of this parallel collocated merge join – just 1350ms on a typical run. The list below shows all the alternatives from this post (all timings include creation, population, and deletion of the temporary table where appropriate) from quickest to slowest: Collocated parallel merge join: 1350ms Parallel hash join: 2600ms Collocated serial merge join: 3500ms Serial merge join: 5000ms Parallel merge join: 8400ms Collated parallel hash join: 25,300ms (hash spill per partition) The parallel collocated merge join requires no memory grant (aside from a paltry 1.2MB used for exchange buffers). This plan uses 16 threads at DOP 8; but 8 of those are (rather pointlessly) allocated to the parallel scan of the temporary table. These are minor concerns, but it turns out there is a way to address them if it bothers you. Parallel Collocated Merge Join with Demand Partitioning This final tweak replaces the temporary table with a hard-coded list of partition ids (dynamic SQL could be used to generate this query from sys.partitions): SELECT row_count = SUM(Subtotals.cnt) FROM ( VALUES (1),(2),(3),(4),(5),(6),(7),(8),(9),(10), (11),(12),(13),(14),(15),(16),(17),(18),(19),(20), (21),(22),(23),(24),(25),(26),(27),(28),(29),(30), (31),(32),(33),(34),(35),(36),(37),(38),(39),(40),(41) ) AS P (partition_number) CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: The parallel collocated hash join plan is reproduced below for comparison: The manual rewrite has another advantage that has not been mentioned so far: the partial counts (per partition) can be computed earlier than the partial counts (per thread) in the optimizer’s collocated join plan. The earlier aggregation is performed by the extra Stream Aggregate under the nested loops join. The performance of the parallel collocated merge join is unchanged at around 1350ms. Final Words It is a shame that the current query optimizer does not consider a collocated merge join (Connect item closed as Won’t Fix). The example used in this post showed an improvement in execution time from 2600ms to 1350ms using a modestly-sized data set and limited parallelism. In addition, the memory requirement for the query was almost completely eliminated  – down from 569MB to 1.2MB. The problem with the parallel hash join selected by the optimizer is that it attempts to process the full data set all at once (albeit using eight threads). It requires a large memory grant to hold all 5 million rows from table T1 across the eight hash tables, and does not take advantage of the divide-and-conquer opportunity offered by the common partitioning. The great thing about the collocated join strategies is that each parallel thread works on a single partition from both tables, reading rows, performing the join, and computing a per-partition subtotal, before moving on to a new partition. From a thread’s point of view… If you have trouble visualizing what is happening from just looking at the parallel collocated merge join execution plan, let’s look at it again, but from the point of view of just one thread operating between the two Parallelism (exchange) operators. Our thread picks up a single partition id from the Distribute Streams exchange, and starts a merge join using ordered rows from partition 1 of table T1 and partition 1 of table T2. By definition, this is all happening on a single thread. As rows join, they are added to a (per-partition) count in the Stream Aggregate immediately above the Merge Join. Eventually, either T1 (partition 1) or T2 (partition 1) runs out of rows and the merge join stops. The per-partition count from the aggregate passes on through the Nested Loops join to another Stream Aggregate, which is maintaining a per-thread subtotal. Our same thread now picks up a new partition id from the exchange (say it gets id 9 this time). The count in the per-partition aggregate is reset to zero, and the processing of partition 9 of both tables proceeds just as it did for partition 1, and on the same thread. Each thread picks up a single partition id and processes all the data for that partition, completely independently from other threads working on other partitions. One thread might eventually process partitions (1, 9, 17, 25, 33, 41) while another is concurrently processing partitions (2, 10, 18, 26, 34) and so on for the other six threads at DOP 8. The point is that all 8 threads can execute independently and concurrently, continuing to process new partitions until the wider job (of which the thread has no knowledge!) is done. This divide-and-conquer technique can be much more efficient than simply splitting the entire workload across eight threads all at once. Related Reading Understanding and Using Parallelism in SQL Server Parallel Execution Plans Suck © 2013 Paul White – All Rights Reserved Twitter: @SQL_Kiwi

    Read the article

  • Slides of my HOL on MySQL Cluster

    - by user13819847
    Hi!Thanks everyone who attended my hands-on lab on MySQL Cluster at MySQL Connect last Saturday.The following are the links for the slides, the HOL instructions, and the code examples.I'll try to summarize my HOL below.Aim of the HOL was to help attendees to familiarize with MySQL Cluster. In particular, by learning: the basics of MySQL Cluster Architecture the basics of MySQL Cluster Configuration and Administration how to start a new Cluster for evaluation purposes and how to connect to it We started by introducing MySQL Cluster. MySQL Cluster is a proven technology that today is successfully servicing the most performance-intensive workloads. MySQL Cluster is deployed across telecom networks and is powering mission-critical web applications. Without trading off use of commodity hardware, transactional consistency and use of complex queries, MySQL Cluster provides: Web Scalability (web-scale performance on both reads and writes) Carrier Grade Availability (99.999%) Developer Agility (freedom to use SQL or NoSQL access methods) MySQL Cluster implements: an Auto-Sharding, Multi-Master, Shared-nothing Architecture, where independent nodes can scale horizontally on commodity hardware with no shared disks, no shared memory, no single point of failure In the architecture of MySQL Cluster it is possible to find three types of nodes: management nodes: responsible for reading the configuration files, maintaining logs, and providing an interface to the administration of the entire cluster data nodes: where data and indexes are stored api nodes: provide the external connectivity (e.g. the NDB engine of the MySQL Server, APIs, Connectors) MySQL Cluster is recommended in the situations where: it is crucial to reduce service downtime, because this produces a heavy impact on business sharding the database to scale write performance higly impacts development of application (in MySQL Cluster the sharding is automatic and transparent to the application) there are real time needs there are unpredictable scalability demands it is important to have data-access flexibility (SQL & NoSQL) MySQL Cluster is available in two Editions: Community Edition (Open Source, freely downloadable from mysql.com) Carrier Grade Edition (Commercial Edition, can be downloaded from eDelivery for evaluation purposes) MySQL Carrier Grade Edition adds on the top of the Community Edition: Commercial Extensions (MySQL Cluster Manager, MySQL Enterprise Monitor, MySQL Cluster Installer) Oracle's Premium Support Services (largest team of MySQL experts backed by MySQL developers, forward compatible hot fixes, multi-language support, and more) We concluded talking about the MySQL Cluster vision: MySQL Cluster is the default database for anyone deploying rapidly evolving, realtime transactional services at web-scale, where downtime is simply not an option. From a practical point of view the HOL's steps were: MySQL Cluster installation start & monitoring of the MySQL Cluster processes client connection to the Management Server and to an SQL Node connection using the NoSQL NDB API and the Connector J In the hope that this blog post can help you get started with MySQL Cluster, I take the opportunity to thank you for the questions you made both during the HOL and at the MySQL Cluster booth. Slides are also on SlideShares: Santo Leto - MySQL Connect 2012 - Getting Started with Mysql Cluster Happy Clustering!

    Read the article

  • What’s new in IIS8, Perf, Indexing Service-Week 49

    - by OWScott
    You can find this week’s video here. After some delays in the publishing process week 49 is finally live.  This week I'm taking Q&A from viewers, starting with what's new in IIS8, a question on enable32BitAppOnWin64, performance settings for asp.net, the ARR Helper, and Indexing Services. Starting this week for the remaining four weeks of the 52 week series I'll be taking questions and answers from the viewers. Already a number of questions have come in. This week we look at five topics. Pre-topic: We take a look at the new features in IIS8. Last week Internet Information Services (IIS) 8 Beta was released to the public. This week's video touches on the upcoming features in the next version of IIS. Here’s a link to the blog post which was mentioned in the video Question 1: In a number of places (http://learn.iis.net/page.aspx/201/32-bit-mode-worker-processes/, http://channel9.msdn.com/Events/MIX/MIX08/T06), I've saw that enable32BitAppOnWin64 is recommended for performance reasons. I'm guessing it has to do with memory usage... but I never could find detailed explanation on why this is recommended (even Microsoft books are vague on this topic - they just say - do it, but provide no reason why it should be done). Do you have any insight into this? (Predrag Tomasevic) Question 2: Do you have any recommendations on modifying aspnet.config and machine.config to deliver better performance when it comes to "high number of concurrent connections"? I've implemented recommendations for modifying machine.config from this article (http://www.codeproject.com/KB/aspnet/10ASPNetPerformance.aspx - ASP.NET Process Configuration Optimization section)... but I would gladly listen to more recommendations if you have them. (Predrag Tomasevic) Question 3: Could you share more of your experience with ARR Helper? I'm specifically interested in configuring ARR Helper (for example - how to only accept only X-Forwards-For from certain IPs (proxies you trust)). (Predrag Tomasevic) Question 4: What is the replacement for indexing service to use in coding web search pages on a Windows 2008R2 server? (Susan Williams) Here’s the link that was mentioned: http://technet.microsoft.com/en-us/library/ee692804.aspx This is now week 49 of a 52 week series for the web pro. You can view past and future weeks here: http://dotnetslackers.com/projects/LearnIIS7/ You can find this week’s video here.

    Read the article

  • The Importance of a Security Assessment - by Michael Terra, Oracle

    - by Darin Pendergraft
    Today's Blog was written by Michael Terra, who was the Subject Matter Expert for the recently announced Oracle Online Security Assessment. You can take the Online Assessment here: Take the Online Assessment Over the past decade, IT Security has become a recognized and respected Business discipline.  Several factors have contributed to IT Security becoming a core business and organizational enabler including, but not limited to, increased external threats and increased regulatory pressure. Security is also viewed as a key enabler for strategic corporate activities such as mergers and acquisitions.Now, the challenge for senior security professionals is to develop an ongoing dialogue within their organizations about the importance of information security and how it can impact their organization's strategic objectives/mission. The importance of conducting regular “Security Assessments” across the IT and physical infrastructure has become increasingly important. Security standards and frameworks, such as the international standard ISO 27001, are increasingly being adopted by organizations and their business partners as proof of their security posture and “Security Assessments” are a great way to ensure a continued alignment to these frameworks.Oracle offers a number of different security assessment covering a broad range of technologies. Some of these are short engagements conducted for free with our strategic customers and partners. Others are longer term paid engagements delivered by Oracle Consulting Services or one of our partners. The goal of a security assessment, (also known as a security audit or security review), is to ensure that necessary security controls are integrated into the design and implementation of a project, application or technology.  A properly completed security assessment should provide documentation outlining any security gaps that exist in an infrastructure and the associated risks for those gaps. With that knowledge, an organization can choose to either mitigate, transfer, avoid or accept the risk. One example of an Oracle offering is a Security Readiness Assessment:The Oracle Security Readiness Assessment is a practical security architecture review focused on aligning an organization’s enterprise security architecture to their business principals and strategic objectives. The service will establish a multi-phase security architecture roadmap focused on supporting new and existing business initiatives.Offering OverviewThe Security Readiness Assessment will: Define an organization’s current security posture and provide a roadmap to a desired future state architecture by mapping  security solutions to business goals Incorporate commonly accepted security architecture concepts to streamline an organization’s security vision from strategy to implementation Define the people, process and technology implications of the desired future state architecture The objective is to deliver cohesive, best practice security architectures spanning multiple domains that are unique and specific to the context of your organization. Offering DetailsThe Oracle Security Readiness Assessment is a multi-stage process with a dedicated Oracle Security team supporting your organization.  During the course of this free engagement, the team will focus on the following: Review your current business operating model and supporting IT security structures and processes Partner with your organization to establish a future state security architecture leveraging Oracle’s reference architectures, capability maps, and best practices Provide guidance and recommendations on governance practices for the rollout and adoption of your future state security architecture Create an initial business case for the adoption of the future state security architecture If you are interested in finding out more, ask your Sales Consultant or Account Manager for details.

    Read the article

  • ADNOC talks about 50x increase in performance

    - by KLaker
    If you are still wondering about how Exadata can revolutionise your business then I would recommend watching this great video which was recorded at this year's OpenWorld. First a little background...The Abu Dhabi National Oil Company for Distribution (ADNOC) is an integrated energy company that was founded in 1973. ADNOC Distribution markets and distributes petroleum products and services within the United Arab Emirates and internationally. As one of the largest and most innovative government-owned petroleum companies in the Arab Gulf, ADNOC Distribution is renowned and respected for the exceptional quality and reliability of its products and services. Its five corporate divisions include more than 200 filling stations (a number that is growing at 8% annually), more than 150 convenience stores, 10 vehicle inspection stations, as well as wholesale and retail sales of bulk fuel, gas, oil, diesel, and lubricants. ADNOC selected Oracle Exadata Database Machine after extensive research because it provided them with a single platform that can run mixed workloads in a single unified machine: "We chose Oracle Exadata Database Machine because it.offered a fully integrated and highly engineered system that was ready to deploy. With our infrastructure running all the same technology, we can operate any type of Oracle Database without restrictions and be prepared for business growth," said Ali Abdul Aziz Al-Ali, IT division manager, ADNOC Distribution. ".....we could consolidate our transaction processing and business intelligence onto one platform. Competing solutions are just not capable of doing that." - Awad Ahmed Ali El-Sidiq, Senior Database Administrator, ADNOC Distribution In this new video Awad Ahmen Ali El Sidddig, Senior DBA at ADNOC, talks about the impact that Exadata has had on his team and the whole business. ADNOC is using our engineered systems to drive and manage all their workloads: from transaction systems to payments system to data warehouse to BI environment. A true Disk-to-Dashboard revolution using Engineered Systems. This engineered approach is delivering 50x improvement in performance with one queries running 100x faster! The IT has even revolutionised some of their data warehouse related processes with the help of Exadata and now jobs that were taking over 4 hours now run in a few minutes.  To watch the video click on the image below which will take you to our Oracle YouTube page: (if the above link does not work, click here: http://www.youtube.com/watch?v=zcRpxc6u5Ic) Now that queries are running 100x faster and jobs are completing in minutes not hours, what is next for the IT team at ADNOC? Like many of our customers ADNOC is now looking to take advantage of big data to help them better align their business operations with customer behaviour and customer insights. To help deliver this next level of insight the IT team is looking at the new features in Oracle Database 12c such as the new in-memory feature to deliver even more performance gains.  The great news is that Awad Ahmen Ali El Sidddig was awarded DBA of the Year - EMEA within our Data Warehouse Global Leaders programme and you can see the badge for this award pop-up at the start of video. Well done to everyone at ADNOC and thanks for spending the time with us at OOW to create this great video.

    Read the article

  • Deployment Options for AutoVue 20.0 Users

    - by celine.beck
    AutoVue release 20.0 boasts a brand new architecture. As part of this product rearchitecture, AutoVue can now be deployed either as a desktop deployment to serve the needs of individual users in their personal productivity; or in a Client / Server deployment for those that require connections to enterprise applications / back-end systems. The most common question that we hear from our customers about this new architecture is the following: "Is AutoVue Desktop Version still part of release 20.0 and if so, what is the difference between AutoVue Desktop Version and the Desktop deployment of AutoVue release 20.0?" A detailed answer to these questions is provided in a very complete article entitled Understanding Deployment Options for AutoVue 19.3 Desktop Version users upgrading to AutoVue 20.0 (note 1058254.1) which was posted on My Oracle Support. Is AutoVue Desktop Version still part of AutoVue 20.0? Yes, AutoVue Desktop Version 20.0 is still available to customers and partners, as a maintenance release of AutoVue 19.3. As such, it will not contain any of the new capabilities featured in AutoVue release 20.0. All format enhancements and new format support have been added to release 20.0 Desktop Version though. What is the different between AutoVue Desktop Version 20.0 and the Desktop Deployment of AutoVue release 20.0? AutoVue 20.0 Desktop deployment works like the AutoVue Desktop version. It is installed as a standalone product on each user's machine and runs a local instance of AutoVue. The AutoVue 20.0 Desktop deployment includes all new features, formats and performance enhancements included in release 20.0 (walkthrough capability, improved compare, ...) What deployment options are available to AutoVue 19.3 Desktop Version customers? AutoVue Desktop Version users can evolve at their own pace to the new AutoVue platform. With release 20.0, customers can opt to: Option 1: Stay on AutoVue Desktop Version 20.0 Option 2: Migrate to AutoVue and select the desktop deployment method Option 3: Migrate to AutoVue and select the Client/Server deployment method What is the Client / Server deployment of AutoVue 20.0? The Client/Server deployment has AutoVue installed on a server, to which local client machines connect to access and view documents. AutoVue 20.0 Client Server Deployment allows users to leverage the new online/offline capabilities in release 20.0 and easily switch between online and offline modes of operation. With the Client/Server deployment, customers also get a complete, open and standards-based set of integration tools that allows them to tie AutoVue to any enterprise applications to provide users with a consistent view of data and business objects and expand workflow automation to document-based processes. Related articles: AutoVue Release 20.0 Now Available, New Walkthrough Capability in AutoVue 20.0, Watch the AutoVue 20.0 Release Webcast, April 27 at 12pm EST

    Read the article

  • Oracle Unveils Oracle Social Relationship Management Suite at Oracle OpenWorld

    - by Richard Lefebvre
    New Service Enables Companies to Listen, Engage, Create, Market and Analyze Interactions across Multiple Social Platforms in Real-Time During his keynote presentation, Oracle CEO Larry Ellison announced the Oracle Social Relationship Management (SRM) Suite.   Oracle Social Relationship Management Suite is an integrated enterprise service that enables companies to listen, engage, create, market, and analyze interactions across multiple social platforms in real-time providing a holistic view of the consumer.   Oracle Social Relationship Management Suite is integrated with Oracle’s enterprise applications, including Oracle Fusion Marketing, Oracle Fusion Sales Catalog, Oracle ATG Web Commerce, and Oracle Enterprise Resource Planning (ERP), allowing organizations to use social to transform their corporate business processes and systems.   Additionally, Oracle Social Relationship Management Suite is integrated with Oracle Platform Services, including Oracle Java Cloud Service and Oracle Database Cloud Service, enabling marketing teams to integrate social with their custom Web pages, landing pages and marketing tools. Unleashing the Power of Social • Providing a holistic view of consumer interactions, Oracle Social Relationship Management Suite includes: Oracle Social Network (OSN): Provides a secure collaboration platform that supports real-time collaboration and networking for users inside and outside the organization. Oracle Social Marketing: Enables marketers to centrally create, publish, moderate, manage, measure and report across multiple social campaigns and platforms. It also helps marketers publish social content, engage fans and customize their brand's look and feel. Oracle Social Engagement & Monitoring Cloud Service: Enables organizations to analyze social media interactions while also empowering customer service and sales teams to effectively engage with customers and prospects. It gives organizations the tools they need to understand customers and take the appropriate actions by monitoring, listening, learning, and responding to signals and trends across the social web. Oracle Social Sites: provides brands and agencies a powerful and rich editing experience that end users can leverage to dynamically develop and launch social sites. Oracle Data and Insights. A service that caters to a growing enterprise need for externally information by providing information, directory and insights about common business entities. Supporting Quote “By fundamentally changing the way organizations connect with their different stakeholders, social is changing the rules of business,” said Thomas Kurian, executive vice president, Oracle Product Development. “With the Oracle Social Relationship Management Suite we are empowering our customers to embrace this change by integrating the tools required to listen, engage, create, market and analyze social interactions into existing applications and services.”

    Read the article

  • SOA’s People Problem by Bob Rhubart

    - by JuergenKress
    Are reluctant passengers slowing down your SOA train? Based on my conversations with various experts in service-oriented architecture (SOA), the consensus is that SOA tools and technology have achieved a high level of maturity. Some even use the term industrialization to describe the current state of SOA. Given that scenario, one might assume that SOA has been wildly successful for every organization that has adopted its principles. Obviously SOA could not have achieved its current level of maturity and industrialization without having reached a tipping point in the volume of success stories to drive continued adoption. But some organizations continue to struggle with SOA. The problem, according to some experts, has little to do with tools or technologies. “One of the greatest challenges to implementing SOA has nothing to do with the intrinsic complexity behind a SOA technology platform,” says Oracle ACE Luis Augusto Weir, senior Oracle solution director at HCL AXON. “The real difficulty lies in dealing with people and processes from different parts of the business and aligning them to deliver enterprisewide solutions.” What can an organization do to meet that challenge? “Staff the right people,” says Weir. “For example, the role of a SOA architect should be as much about integrating people as it is about integrating systems. Dealing with people from different departments, backgrounds, and agendas is a huge challenge. The SOA architect role requires someone that not only has a sound architectural and technological background but also has charisma and human skills, and can communicate equally well to the business and technical teams.” The SOA architect’s communication skills are instrumental in establishing service orientation as the guiding principle across the organization. “A consistent architecture comprising both business services and IT services can comprehensively redefine the role of IT at the process level,” says Danilo Schmiedel, solution architect at Opitz Consulting. That helps to shift the focus from siloes to services and get SOA on track. To that end, Oracle ACE Director Lonneke Dikmans, a managing partner at Vennster, stresses the importance of replacing individual, uncoordinated projects with a focused program that promotes communication, cooperation, and service reuse. “Having support among lead developers and architects helps, as does having sponsors that see the business case and understand the strategic value,” she says. Read the complete article here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Technorati Tags: Bob Rhubard,OTN,Lonneke Dikmans,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

    Read the article

  • To 'seal' or to 'wrap': that is the question ...

    - by Simon Thorpe
    If you follow this blog you will already have a good idea of what Oracle Information Rights Management (IRM) does. By encrypting documents Oracle IRM secures and tracks all copies of those documents, everywhere they are shared, stored and used, inside and outside your firewall. Unlike earlier encryption products authorized end users can transparently use IRM-encrypted documents within standard desktop applications such as Microsoft Office, Adobe Reader, Internet Explorer, etc. without first having to manually decrypt the documents. Oracle refers to this encryption process as 'sealing', and it is thanks to the freely available Oracle IRM Desktop that end users can transparently open 'sealed' documents within desktop applications without needing to know they are encrypted and without being able to save them out in unencrypted form. So Oracle IRM provides an amazing, unprecedented capability to secure and track every copy of your most sensitive information - even enabling end user access to be revoked long after the documents have been copied to home computers or burnt to CD/DVDs. But what doesn't it do? The main limitation of Oracle IRM (and IRM products in general) is format and platform support. Oracle IRM supports by far the broadest range of desktop applications and the deepest range of application versions, compared to other IRM vendors. This is important because you don't want to exclude sensitive business processes from being 'sealed' just because either the file format is not supported or users cannot upgrade to the latest version of Microsoft Office or Adobe Reader. But even the Oracle IRM Desktop can only open 'sealed' documents on Windows and does not for example currently support CAD (although this is coming in a future release). IRM products from other vendors are much more restrictive. To address this limitation Oracle has just made available the Oracle IRM Wrapper all-format, any-platform encryption/decryption utility. It uses the same core Oracle IRM web services and classification-based rights model to manually encrypt and decrypt files of any format on any Java-capable operating system. The encryption envelope is the same, and it uses the same role- and classification-based rights as 'sealing', but before you can use 'wrapped' files you must manually decrypt them. Essentially it is old-school manual encryption/decryption using the modern classification-based rights model of Oracle IRM. So if you want to share sensitive CAD documents, ZIP archives, media files, etc. with a partner, and you already have Oracle IRM, it's time to get 'wrapping'! Please note that the Oracle IRM Wrapper is made available as a free sample application (with full source code) and is not formally supported by Oracle. However it is informally supported by its author, Martin Lambert, who also created the widely-used Oracle IRM Hot Folder automated sealing application.

    Read the article

  • Introducing AutoVue Document Print Service

    - by celine.beck
    We recently announced the availability of our new AutoVue Document Print Service products. For more information, please read the article entitled Print Any Document Type with AutoVue Document Print Services that was posted on our blog. The AutoVue Document Print Service products help address a trivial, yet very common challenge: printing and batch printing documents. The AutoVue Document Print Service is a Web-Services based interface, which allows developers to complement their print server solutions by leveraging AutoVue's printing capabilities within broader enterprise applications like Asset Lifecycle Management, Product Lifecycle Management, Enterprise Content Management solutions, etc. This means that you can leverage the AutoVue Document Print Service products as part of your printing solution to automate the printing of virtually any document type required in any business process. Clients that consume AutoVue's Document Print Service can be written in any language (for example Java or .NET) as long as they understand Web Services Description Language (WSDL) and communicate using Simple Object Access Protocol (SOAP). The print solution consists of three main components, as described in the diagram below: a print server (not included in the AutoVue Document Print Service offering) that will interact with your application to identify the files that need to be printed, the printer to send each file, as well as the print options needed for each file (paper size, page orientation, etc), and collate the print job requests. The print server will also take care of calling the AutoVue Document Print Service to perform the actual printing. The AutoVue Document Print Services send files to a printer for printing. The AutoVue Document Print Service products leverage AutoVue's format- and platform agnostic technology to let you print/batch virtually any type of files, without requiring the authoring application installed on your machine. and Printers As shown above, you can trigger printing from your application either programmatically through automated business processes or manually through human interaction. If documents that need to be printed from your application are stored inside a content repository/Document Management System (DMS) such as Oracle Universal Content Management System (UCM), then the Print Server will need to identify the list of documents and pass the ID of each document to the AutoVue DPS to print. In this case, AutoVue DPS leverages the AutoVue VueLink integration (note: AutoVue VueLink integrations are pre-packaged AutoVue integrations with most common enterprise systems. Check our Website for more information on the subject) to fetch documents out of the document management system for printing. In lieu of the AutoVue VueLink integration, you can also leverage the AutoVue Integration Software Development Kit (iSDK) to build your own connector. If the documents you need to print from your application are not stored in a content management system, the Print Server will need to ensure that files are made available to the AutoVue Document Print Service. The Print Server could for example fetch the files out of your application or an extension to the application could be developed to fetch the files and make them available to the AutoVue DPS. More information on methods to pass on file information to the AutoVue Document Print Service products can be found in the AutoVue Document Print Service Overview documentation available on the Oracle Technology Network. Related article: Any Document Type with AutoVue Document Print Services

    Read the article

  • Oracle Database 12c: Partner Material

    - by Thanos Terentes Printzios
    Oracle Database 12c offers the latest innovation from Oracle Database Server Technologies with a new Multitenant Architecture, which can help accelerate database consolidation and Cloud projects. The primary resource for Partners on Database 12c is of course the Oracle Database 12c Knowledge Zone where you can get up to speed on the latest Database 12c enhancements so you can sell, implement and support this. Resources and material on Oracle Database 12c can be found all around Oracle.com, but even hidden in AR posters like the one on the left. Here are some additional resources for you Oracle Database 12c: Interactive Quick Reference is a multimedia tool for various terms and concepts used in the Oracle Database 12c release. This reference was built as a multimedia web page which provides descriptions of the database architectural components, and references to relevant documentation. Overall, is a nice little tool which may help you quickly to find a view you are searching for or to get more information about background processes in Oracle Database 12c. Use this tool to find valuable information for any complex concept or product in an intuitive and useful manner. Oracle Database 12c Learning Library contains several technical traininings (2-day DBA, Multitenant Architecture, etc) but also Videos/Demos, Learning Paths by Role and a lot more. Get ready and become an Oracle Database 12c Specialized Partner with the Oracle Database 12c Specialization for Partners. Review the Specialization Criteria, your company status and apply for an Oracle Database 12c Specialization. Access our OPN training repository to get prepared for the exams. "Oracle Database 12c: Plug into the Cloud!"  Marketing Kit includes a great selection of assets to help Oracle partners in their marketing activities to promote solutions that leverage all the new features of Oracle Database 12c. In the package you will find assets (templates, invitation texts, presentations, telemarketing script,...) to be used for your demand generation activities; a full set of presentations with the value propositions for customers; and Sales Enablement and Sales Support material. Review here and start planning your marketing activities around Database 12c. Oracle Database 12c Quick Reference Guide (PDF) and Oracle Database 12c – Partner FAQ (PDF) Partners that need further assistance with Database 12c can always contact us at partner.imc-AT-beehiveonline.oracle-DOT-com or locally address one the Oracle ECEMEA Partner Hubs for assistance.

    Read the article

  • AxCMS.net 10 with Microsoft Silverlight 4 and Microsoft Visual Studio 2010

    - by Axinom
    Axinom, European WCM vendor, today announced the next version of its WCM solution AxCMS.net 10, which streamlines the processes involved in creating, managing and distributing corporate content on the internet. The new solution helps reducing ongoing costs for managing and distributing to large audiences, while at the same time drastically reducing time-to-market and one-time setup costs. http://www.AxCMS.net Axinom’s WCM portfolio, based on the Microsoft .NET Framework 4, Microsoft Visual Studio 2010 and Microsoft Silverlight 4, allows enterprises to increase process efficiency, reduce operating costs and more effectively manage delivery of rich media assets on the Web and mobile devices. Axinom solutions are widely used by major European online brands in IT, telco, retail, media and entertainment industries such as Siemens, American Express, Microsoft Corp., ZDF, Pro7Sat1 Media, and Deutsche Post. Brand New User Interface built with Silverlight 4By using Silverlight 4, Axinom’s team created a new user interface for AxCMS.net 10 that is optimized for improved usability and speed. WYSIWYG mode, integrated image editor, extended list views, and detail views of objects allow a substantial acceleration of typical editor tasks. Axinom’s team worked with Silverlight Rough Cut Editor for video management and Silverlight Analytics Framework for extended reporting to complete the wide range of capabilities included in the new release. “Axinom’s release of AxCMS.net 10 enables developers to take advantage of the latest features in Silverlight 4,” said Brian Goldfarb, director of the developer platform group at Microsoft Corp. “Microsoft is excited about the opportunity this creates for Web developers to streamline the creating, managing and distributing of online corporate content using AxCMS.net 10 and Silverlight.” Rapid Web Development with Visual Studio 2010AxCMS.net 10 is extended by additional products that enable developers to get productive quickly and help solve typical customer scenarios. AxCMS.net template projects come with documented source code that help kick-start projects and learn best practices in all aspects of Web application development. AxCMS.net overcomes many hard-to-solve technical obstacles in an out-of-the-box manner by providing a set of ready-to-use vertical solutions such as corporate Web site, Web shop, Web campaign management, email marketing, multi-channel distribution, management of rich Internet applications, and Web business intelligence. Extended Multi-Site ManagementAxCMS.net has been supporting the management of an unlimited number of Web sites for a long time. The new version 10 of AxCMS.net will further improve multi-site management and provide features to editors and developers that will simplify and accelerate multi-site and multi-language management. Extended publication workflow will take into account additional dependencies of dynamic objects, pages, and documents. “The customer requests evolved from static html pages to dynamic Web applications content with the emergence of rich media assets seamlessly combined across many channels including Web, mobile and IPTV. With the.NET Framework 4 and Silverlight 4, we’re on the fast track to making the three screen strategy a reality for our customers,” said Damir Tomicic, CEO of Axinom Group. “Our customers enjoy substantial competitive advantages of using latest Microsoft technologies. We have a long-standing, relationship with Microsoft and are committed to continued development using Microsoft tools and technologies to deliver innovative Web solutions in the future.”  

    Read the article

  • Nginx and PHP Fundamentals

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/08/01/nginx-and-php-fundamentals.aspxHot on the heels of my .NET caching course, I’ve had my first “fundamentals” course released on Pluralsight: Nginx and PHP Fundamentals. It’s a practical look at two of the biggest technologies on the web – Nginx, which is the fastest growing HTTP server around (currently hosting 100+ million sites), and PHP, which powers more websites than any other server-side framework (currently 240+ million sites). The two technologies work well together, both are open-source and cross-platform and both are lightweight and easy to get started with - you just need to download and unzip the runtimes, and with a text editor you can create and host dynamic websites. I’ve used PHP as a second (sometimes third) language since 2005 when I was brought cold into an established codebase to help improve performance, and Nginx to host tier 2 apps for the last couple of years. As with any training course, you learn new things as you produce it, and it was good to focus on a different stack from my commercial .NET world. In the course I start with a website in two parts – one which is just static content, and one which processes a user registration form using ASP.NET MVC, both running in IIS. Over four modules I migrate the app to Nginx and PHP: Hosting Static Content in Nginx – how to deploy and configure Nginx for a basic website; PHP Part 1: Basic Web Forms – installing PHP and an IDE, and building a simple form with server-side validation; PHP Part 2: Packages and Integration – using PECL and Composer for packages to connect to Azure, AWS, Mongo and reCAPTCHA; Hosting PHP in Nginx – configuring Nginx to host our PHP site. Along the way I run some performance stats with JMeter, and the headlines are that Nginx running on Linux outperforms IIS on Windows for static content,by 800 requests per second over 1000 concurrent requests; and Linux+Ngnix+PHP outperforms Windows+IIS+ASP.NET MVC by 700 request per second with the same load. Of course, the headline stats don’t tell the whole story, and when you add OpCode caching for PHP and the ASP.NET Output Cache, the results are very different. As Web architecture moves away from heavy server-side processing, to Single Page Apps with client-side frameworks like AngularJS and Knockout, I think there’s an increasing need for high-performance, low-cost server technologies, and the combination of Nginx and PHP makes a compelling case.

    Read the article

  • Using Pandora in Boxee

    - by Mysticgeek
    Boxee is a very cool multimedia app that lets you access and stream your digital media in many different ways. There’s also a lot of extra apps included with it, and today we take a look at the Pandora application in Boxee. Pandora has been a favorite free music streaming service that’s been around for some time now. Though there are new services like Grooveshark and Spotify that are competing, Pandora is still a reliable choice. It’s now included in Boxee, and here we take a look at using it. Create a Pandora Account If you don’t already have a Pandora account, you can easily create one at their website (link below). Pandora in Boxee To start using Pandora from Boxee, launch Boxee and from the main menu select Apps. Now from the My Apps section select Pandora. When the Pandora app menu comes up, select Start. Now you need to log into your Pandora account. After signing in you can starting listening to your stations, viewing artist info, and cover art. All while enjoying some cool visuals in the background. From the controls at the top you can control playback, skip songs, control volume, get information on why a song was picked, and give a song a thumbs up or down. Of course you can also pull up your stations and switch between them and add more. The same features you’ve come to expect from Pandora are available. One thing we noticed missing is not being able to click on the band or artist to get additional information about them –which you can do on the Pandora site and desktop app. But that isn’t a deal breaker by any means, and we’re hoping the feature will be added in the future. Then while you’re checking out other apps, shows, and setting within Boxee, the cool visuals continue and the songs from you stations keep playing. Conclusion Pandora is a great streaming music service and a welcome edition to Boxee. If you’re a fan of Pandora now you can listen to it on your home theater system. If you’re new to Boxee, make sure to check out our article on getting started with Boxee. Create a Pandora Account Download Boxee Similar Articles Productive Geek Tips Integrate Boxee with Media Center in Windows 7Getting Started with BoxeePandora One is a Worthwhile Upgrade for Your Current Pandora AccountCreate Music Video Playlists with TubeRadio.fmSpotify is an Awesome Music Streaming Service TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional Draw Online using Harmony How to Browse Privately in Firefox Kill Processes Quickly with Process Assassin Need to Come Up with a Good Name? Try Wordoid StockFox puts a Lightweight Stock Ticker in your Statusbar Explore Google Public Data Visually

    Read the article

  • Upcoming UPK Events

    - by kathryn.lustenberger(at)oracle.com
    February 15th: UPK: Follow Panduit's Lead and Leverage Oracle's User Productivity Kit To Achieve Your Goals - Join us for a live webcast to learn how Oracle's User Productivity Kit can help you meet and exceed your goals. The webcast will feature Jim Boss, from the Panduit Corporation, who will share how Oracle's User Productivity Kit was used with both Oracle and Non-Oracle applications to helped Panduit to meet their goals. Date: February 15th, 2011 at 12:00 PST / 3:00 EST Evite: http://www.oracle.com/us/dm/65630-naod10046029mpp005c010-se-300908.html March 2nd: Synaptis teams with Oracle to deliver a UPK customer success story - Webinar Offering The Value of UPK (Customer Success Story): How to leverage the value of UPK to streamline processes and maximize end user adoption for a global implementation Join us to learn how the power of UPK can be leveraged to train end users globally in a successful and cost effective manner. A valued Oracle UPK customer will share experiences, successes, challenges, and strategies. The webinar will also include a question and answer session to give the attendees an opportunity to interact directly with the Oracle UPK customer, Synaptis, and the Oracle UPK Team. Date: March 2, 2011 Time: 11:00am - 12:00pm EST Register for this webinar March 27 - 30th: The Alliance 2011 conference is an annual event for all higher education, government, and public sector users of Oracle applications. The Alliance conference is organized and managed by the Higher Education User Group (www.heug.org). This is the 14th annual event for the HEUG. This is your opportunity to join with over 3200 other Higher Education, Federal, State and Local Government users to network, learn and share in our amazing combined experiences. The Alliance conference team is hard at work, putting together the best conference ever for 2011 - so don't delay, make your plans now to be part of Alliance 2011! When: Sunday, March 27th, 2011 - Wednesday, March 30, 2011 Where: The Colorado Convention Center (Denver, Colorado) Registration for Alliance 2011 is Now Open! UPK will be represented at this event offering: Pre-Conference Training Learn the Basics of Oracle User Productivity Kit (UPK) Taking Your UPKs to a Whole New Level, Advanced Use of UPK Demo Pod Staff Sessions: Oracle User Productivity Kit: Creating Value throughout the Project Lifecycle Beyond Basic UPK -- User Tracking and SmartHelp Leveraging Oracle and User Productivity Kit (UPK) to Develop a Comprehensive Training Program Oracle User Productivity Kit Strategy and Roadmap -- Key to User Adoption April 10 - 14th: Registration for COLLABORATE 11 has begun - Don't miss the most comprehensive, user-driven conference devoted to Oracle applications and technology. Collaborate with a global network of more than 5,000 peers and experts to share real-world experiences, solve your challenges and gain insights to validate your technology plans. Read below to discover which group to register with for the best value. UPK will be represented at this event offering: Demo Pod Staff Sessions: Oracle User Productivity Kit: Creating Value throughout the Project Lifecycle Centralize all Project Team assets, AND, Deploy Fully Measurable Training with UPK Pro Oracle User Productivity Kit Strategy and Roadmap - Key to User Adoption Registration is Now Open!

    Read the article

  • Windows Azure Use Case: Fast Acquisitions

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Many organizations absorb, take over or merge with other organizations. In these cases, one of the most difficult parts of the process is the merging or changing of the IT systems that the employees use to do their work, process payments, and even get paid. Normally this means that the two companies have disparate systems, and several approaches can be used to have the two organizations use technology between them. An organization may choose to retain both systems, and manage them separately. The advantage here is speed, and keeping the profit/loss sheets separate. Another choice is to slowly “sunset” or stop using one organization’s system, and cutting to the other system immediately or at a later date. Although a popular choice, one of the most difficult methods is to extract data and processes from one system and import it into the other. Employees at the transitioning system have to be trained on the new one, the data must be examined and cleansed, and there is inevitable disruption when this happens. Still another option is to integrate the systems. This may prove to be as much work as a transitional strategy, but may have less impact on the users or the balance sheet. Implementation: A distributed computing paradigm can be a good strategic solution to most of these strategies. Retaining both systems is made more simple by allowing the users at the second organization immediate access to the new system, because security accounts can be created quickly inside an application. There is no need to set up a VPN or any other connections than just to the Internet. Having the users stop using one system and start with the other is also simple in Windows Azure for the same reason. Extracting data to Azure holds the same limitations as an on-premise system, and may even be more problematic because of the large data transfers that might be required. In a distributed environment, you pay for the data transfer, so a mixed migration strategy is not recommended. However, if the data is slowly migrated over time with a defined cutover, this can be an effective strategy. If done properly, an integration strategy works very well for a distributed computing environment like Windows Azure. If the Azure code is architected as a series of services, then endpoints can expose the service into and out of not only the Azure platform, but internally as well. This is a form of the Hybrid Application use-case documented here. References: Designing for Cloud Optimized Architecture: http://blogs.msdn.com/b/dachou/archive/2011/01/23/designing-for-cloud-optimized-architecture.aspx 5 Enterprise steps for adopting a Platform as a Service: http://blogs.msdn.com/b/davidmcg/archive/2010/12/02/5-enterprise-steps-for-adopting-a-platform-as-a-service.aspx?wa=wsignin1.0

    Read the article

  • Innovation, Adaptability and Agility Emerge As Common Themes at ACORD LOMA Insurance Forum

    - by [email protected]
    Helen Pitts, senior product marketing manager for Oracle Insurance is blogging from the show floor of the ACORD LOMA Insurance Forum this week. Sessions at the ACORD LOMA Insurance Forum this week highlighted the need for insurance companies to think creatively and be innovative with their technology in order to adapt to continuously shifting market dynamics and drive business efficiency and agility.  LOMA President & CEO Robert Kerzner kicked off the day on Tuesday, citing how the recent downtown and recovery has impacted the insurance industry and the ways that companies are doing business.  He encouraged carriers to look for new ways to deliver solutions and offer a better service experience for consumers.  ACORD President & CEO Gregory Maciag reinforced Kerzner's remarks, noting how the industry's approach to technology and development of industry standards has evolved over the association's 40-year history and cited how the continued rise of mobile computing will change the way many carriers are doing business today and in the future. Drawing from his own experiences, popular keynote speaker and Apple Co-Founder Steve Wozniak continued this theme, delving into ways that insurers can unite business with technology.  "iWoz" encouraged insurers to foster an entrepreneurial mindset in a corporate environment to create a culture of creativity and innovation.  He noted that true innovation in business comes from those who have a passion for what they do.  Innovation was also a common theme in several sessions throughout the day with topics ranging from modernization of core systems, automated underwriting, distribution management, CRM and customer communications management.  It was evident that insurers have begun to move past the "old school" processes and systems that constrain agility, implementing new process models and modern technology to become nimble and more adaptive to the market.   Oracle Insurance executives shared a few examples of how insurers are achieving innovation during our Platinum Sponsor session, "Adaptive System Transformation:  Making Agility More Than a Buzzword." Oracle Insurance Senior Vice President and General Manager Don Russo was joined by Chuck Johnston, vice president, global strategy and alliances, and Srini Venkatasantham, vice president of product strategy.  The three shared how Oracle's adaptive solutions for insurance, with a focus on how the key pillars of an adaptive systems - configurable applications, accessible information, extensible content and flexible process - have helped insurers respond rapidly, perform effectively and win more business. Insurers looking to innovate their business with adaptive insurance solutions including policy administration, business intelligence, enterprise document automation, rating and underwriting, claims, CRM and more stopped by the Oracle Insurance booth on the exhibit floor.  It was a premiere destination for many participating in the exhibit hall tours conducted throughout the day. Finally, red was definitely the color of the evening at the Oracle Insurance "Red Hot" customer celebration at the House of Blues. The event provided a great opportunity for our customers to come together and network with the Oracle Insurance team and their peers in the industry.  We look forward to visiting more with of our customers and making new connections today. Helen Pitts is senior product marketing manager for Oracle Insurance. 

    Read the article

< Previous Page | 156 157 158 159 160 161 162 163 164 165 166 167  | Next Page >