Search Results

Search found 504 results on 21 pages for 'failover'.

Page 18/21 | < Previous Page | 14 15 16 17 18 19 20 21  | Next Page >

  • Multi-WAN bonding across different media

    - by Tom O'Connor
    I've recently been thinking again about a product that Viprinet provide, basically they've got a pair of routers, one that lives in a datacentre, Their VPN Multichannel Hub and the on-site hardware, their VPN multichannel routers They've also got a bunch of interface cards (like HWICs) for 3G, UMTS, Ethernet, ADSL and ISDN adapters. Their main spiel seems to be bonding across different media. It's something that I'd really like to use for a couple of projects, but their pricing is really quite extreme, the hub is about 1-2k, the routers are 2-6k, and the interface modules are 200-600 each. So, what I'd like to know is, is it possible with a couple of stock Cisco routers, 28xx or 18xx series, to do something similar, and basically connect a bunch of different WAN ports, but have it all presented neatly as one channel back to the internet, with seamless (or nearly) failover if one of the WAN interfaces should fail. Basically, If i got 3x 3G to ethernet modems, and each on a different network, I'd like to be able to loadbalance/bond across all of them, without having to pay Viprinet for the privilege. Does anyone know how I'd go about configuring something for myself, based around standard protocols (or vendor specific ones), but without actually having to buy the Viprinet hardware?

    Read the article

  • switchover in postgresql

    - by user1010280
    I am using Postgresql 9.0 with Streaming replication. So, during switchover I follow these steps:- Get the server timestamp on primary. Get the current log position on primary. Set Verify Log location Verify Transaction Received Location Shutdown DB on production. Synchronize the transaction logs from PR to DR. Trigger a failover on the DR Database by creating the trigger file specified in recovery.conf Verify DB Mode on DR Copy the control file from from DR to primary. copy the temporary stats file from DR to primary. copy the history file from DR to primary. Create recovery.conf file. Start Database in standby mode in primary. Verify DB mode on PR At step (6), I have to copy last wal generated on Primary to standby and sync both PR and standby. but this thing takes time to copy files because this remote. So that postgres will keep seraching for wal for long time and after that it stops the server. So I want to know is there any way so that I can ask postgres to stop seraching or locating WAL after shutdown??? because postgres tries to locate this wal every 5 seconds. Please reply as soon as possible..its urgent...

    Read the article

  • Standards for documenting/designing infrastructure

    - by Paul
    We have a moderately complex solution for which we need to construct a production environment. There are around a dozen components (and here I'm using a definition of "component" which means "can fail independently of other components" - e.g. an Apache server, a Weblogic web app, an ftp server, an ejabberd server, etc). There are a number of weblogic web apps - and one thing we need to decide is how many weblogic containers to run these web apps in. The system needs to be highly available, and communications in and out of the system are typically secured by SSL Our datacentre team will handle things like VLAN design, racking, server specification and build. So the kinds of decisions we still need to make are: How to map components to physical servers (and weblogic containers) Identify all communication paths, ensure all are either resilient or there's an "upstream" comms path that is resilient, and failover of that depends on all single-points of failure "downstream". Decide where to terminate SSL (on load balancers, or on Apache servers, for instance). My question isn't really about how to make the decisions, but whether there are any standards for documenting (especially in diagrams) the design questions and the design decisions. It seems odd, for instance, that Visio doesn't have a template for something like this - it has templates for more physical layout, and for more logical /software architecture diagrams. So right now I'm using a basic Visio diagram to represent each component, the commms between them with plans to augment this with hostnames, ports, whether each comms link is resilient etc, etc. This all feels like something that must been done many times before. Are there standards for documenting this?

    Read the article

  • Apache httpd workers retry

    - by David Newcomb
    I have an Apache httpd web server running mod_proxy and mod_proxy_balancer. The whole of /somedir is sent to 2 worker machines which service the requests using the round robin scheduler. Each worker machine is running IIS but I don't think that is important. I can demonstrate the load balancer working by repeatedly requesting a single page which contains the IP address of the machine and can see that it switches from one to the other in a predictable round robin fashion. If I switch off one of the IIS servers and start requesting the same page then each page only contains the IP address of the machine that is up. However, if I start IIS and don't run my IIS application then /somedir returns 500 (as it should). I've added 500 to the failonstatus (Apache 2.4) so when it hits the error Apache places the worker machine into error state. Apache still returns the proxy error to the client though. How can I make Apache catch the proxy failure and retry using a different worker in the same way that a connection failure does. Update There is almost the same question asked in StackOverflow so joining them together. http://stackoverflow.com/questions/11083707/httpd-mod-proxy-balancer-failover-failonstatus-transperant-switching

    Read the article

  • Intermittently uncommunicative subnets

    - by mhd
    Last week proved me a veritable Cassandra: I've always said that it's a bad idea to have only one firewall/router, without a backup or failover. And thus our Cisco PIX went haywire, refusing to route properly. And of course, the only one available here on short notice is me, and while I'm quite grounded in Linux, I'm really a developer not a sysadmin (the fact that this hit me on sysadmin appreciation day is a bit ironic). Anyway, this weekend I tried to hack up a temporary solution: I used an old server with enough NICs (two built-in, four on a card) to serve as a gateway and firewall. Due to some problems with the raid controller, I got only two router distros running, and between Untangle and Ebox I decided for the latter. Now everything is quite okay. I've got all the different subnets we've got here (all with separate switches) talking to each other and even to the internet (Cisco 2800 router, T1 lines). But from time to time (20-60 minute intervals), I get a total routing failure. Our main, office subnet can't talk to our server subnet and can't connect to the internet. This is not the end of a gradual slowdown, either everything's working perfectly or I get a total lack of communication for about two minutes each time. Now I'm a bit at wits end what to check. At least with the default EBox setup, nothing in /var/log shows anything weird and it doesn't exactly have lots of built-in monitoring tools. So I'm hoping someone here could give me some pointers about what to look out for. I did change the ethernet cable from the office switch to the firewall, with no results. I might change switches, although within the switch it seems to work ok enough. Edit: I'm not sure whether this is the sole cause of the problem, but after I noticed a few DHCP entries just before the last drop of connectivity, I tried to reproduce that. And alas, whenever I renew a DHCP connection, I can't access other subnets anymore. Running ISC DHCPD 3.0.6.

    Read the article

  • netlogon errors

    - by rorr
    I have two instances of mssql 2005 and am using CA XOSoft replication. The master is a failover cluster and the replica is a standalone server. They are all running Server 2003 sp2 x64. Same patch levels on all servers. This setup has worked great for several months until we recently restricted the RPC ports on both nodes of the master(5000 - 6000 using rpccfg.exe). We have to implement egress filtering, thus the limiting of the ports. We began receiving login errors for sql windows authentication and NETLOGON Event ID: 5719: This computer was not able to set up a secure session with a domain controller in domain due to the following: Not enough storage is available to process this command. This may lead to authentication problems. Make sure that this computer is connected to the network. If the problem persists, please contact your domain administrator. We also see group policies failing to update and cluster file shares go offline at the same time. The RPC ports were set back to default when we started seeing these problems and the servers rebooted, but the problems persist. The domain controllers are not showing any errors. Running dcdiag and netdiag shows everything is fine. We have noticed that the XOSoft service ws_rep.exe is using a lot of handles(8 - 9k), about the same number that sqlserver is using. As soon as xosoft replication is stopped the login errors cease and everything functions correctly. I have opened a ticket with CA for XOSoft, but I'm not sure that the problem is actually xosoft, but that it is the one bringing the problem to light. I'm looking for tips on debugging RPC problems. Specifically on limiting the ports and then reverting the changes.

    Read the article

  • CentOS: Init scripts failing to start for some unknown reason

    - by user705142
    I'm running CentOS 6.2 - I've just migrated some applications over to a failover server, and copied their init scripts into /etc/init.d. I've made them executable, added them to chkconfig, with chkconfig -add, set their levels, made sure they're residing in /etc/rc.d/ - made sure I can execute them from rc2.d etc. The permissions are the same on both servers. They're also running in the same order as on the primary server Yet on reboot they don't start. Any ideas? The offenders are these: jetty 0:off 1:off 2:on 3:on 4:on 5:on 6:off smart 0:off 1:off 2:on 3:on 4:on 5:on 6:off /etc/init.d: -rwxr-xr-x. 1 root root 14456 Mar 13 20:21 jetty -rwxrwxrwx. 1 root root 5829 Mar 29 09:58 smart /etc/rc.d/rc3.d lrwxrwxrwx. 1 root root 15 Mar 29 19:21 S99jetty -> ../init.d/jetty lrwxrwxrwx. 1 root root 11 Mar 26 17:12 S99local -> ../rc.local lrwxrwxrwx. 1 root root 15 Mar 29 19:21 S99smart -> ../init.d/smart I've checked, and I'm in run level 3. I've checked their logs, and there's no indication that that they've been started. I can start them manually easily - and other services are starting normally. I'm completely out of ideas really.

    Read the article

  • RPC Server Unavailable on Hyper-V cluster when moving resources after the host adapter has failed

    - by Doug Luxem
    On a Windows 2008 R2 SP1 cluster running Hyper-V, a lost network connectivity on the primary host interface. The interface was rapidly flapping up and down, and this was later determined to be caused by a faulty switch port. As this was a clustered server, the host interface was not fault tolerant (seeing as how the whole server was fault tolerant), so connectivity to the host was going up and down. The Hyper-V guests were completely unaffected by the network outage as they used a dedicated trunk on the server separate from the host interface. Additionally, dedicated interfaces for the cluster and live migration networks were fine. In order to diagnose the server, I tried to move all resources (Hyper-V Guests) to other nodes through Failover Cluster Manager. These moves failed with an error RPC Server Unavailable. The only way to move resources was by shutting down the guests, stopping the cluster service on the Node A, allowing other nodes to take ownership of the resources, and restarting the guests. A few other notes: All nodes have Client for MS Networks and File & Printer Sharing enabled on the Cluster and LM networks. Node A was accessible over cluster and LM networks from other nodes (these are private, cluster-only networks); pingable, CIFs, etc. Accessing \\NODEA is done over the Host adapters, as you would expect in this case and is the reason for the RPC Server Unavailable error with that adapter being down. My questions here are - Is there a way to still use Live Migration in a failure scenario such as this to prevent shutting down the Hyper-V guests? How can the network be reconfigured in the future so that the cluster service attempts to use the cluster and/or live migration networks to issue the RPC requests?

    Read the article

  • Setup ejabberd with SQL Server 2008

    - by wonster
    Here's what I have got so far. Windows 2008 Server 64 bit. Installed the latest version of ejabberd, ejabberd-2.1.8-windows-installer.exe. The windows service starts up fine but seems ineffective. However, using the start & stop scripts work. I am able to login to the admin page which so far doesn't seem that versatile. Opened up ports 5222, 5226 and 5280 for my workstation to talk to the server. I've got Spark and Jabbear Windows clients to register, login and instant message with multiple accounts using the server. After confirming that I've got the very basics working, I've decided to make use of SQL Server 2008 as the database. Reason? Mainly, I am very comfortable with SQL Server. I can deal with redundancy, failover, data analysis easily. Not sure if ejabberd's built in DB provides all that. Following the instructions from ejabberd's documentation, I setup a system DSN that points to another physical database. The DSN checks out fine. (Tried both Named Pipes and TCP/IP) Modified ejabberd.cfg. Commented line %%{auth_method, internal} and uncommented line {auth_method, odbc} Uncommented and modified {odbc_server, "DSN=ejabberd;UID=somelogin;PWD=somepassword"}. After making these changes, I restarted. No errors are found in the log files. The jabber clients are no longer able to register new accounts. I'm not sure where to look for errors besides the /logs/ folder as I'm new to all this. I am basically stuck here on step 5. Has anyone got this setup to work recently? Some of the posts I've found around are years old and of no help. I can't be the only one setting up ejabberd with MS SQL. Any help would be appreciated!

    Read the article

  • Shoretel Upgrade Path

    - by Brian
    I currently have a Shoretel Server running Server 2003 x32 as a virtual machine paired with a ShoreGear 90 switch and another unused switch of the same model being reserved for manual failover. I am getting the software mailed to me from my partner, but with limited support since the server is in a relatively remote area. I am tempted to upgrade the OS at the same time as performing the upgrade, but want to know if there are any horror stories or advice I should know about before diving in. I'm upgrading from Shoretel 9.2 Build. I will be upgrading first to version 10.1 then finally to 11.1. The system has been bullet proof since it was installed and we are upgrading mainly to get a client that is a little more modern. My question boils down to: Should I even bother with an OS upgrade or even possibly a fresh install of Windows with an install of Shoretel 11.1 and just transfer the configuration? Should I just stay with Server 2003 since it is supported in my target version of Shoretel and the upgrade will be more than enough to keep me busy as a novice?

    Read the article

  • iptables: How to combine DNAT and SNAT to use a secondary IP address?

    - by Que_273
    There are lots of questions on here about iptables DNAT/SNAT setups but I haven't found one that solves my current problem. I have services bound to the IP address of eth0 (e.g. 192.168.0.20) and I also have a IP address on eth0:0 (192.168.0.40) which is shared with another server. Only one server is active, so this alias interface comes and goes depending on which server is active. In order to get traffic accepted by the service a DNAT rule is used to change the destination IP. iptables -t nat -A PREROUTING -d 192.168.0.40 -p udp --dport 7100 -j DNAT --to-destination 192.168.0.20 I also wish all outbound traffic from this service to appear to come from the shared IP, so that return responses will work in the event of a active-standby failover. iptables -t nat -A POSTROUTING -p udp --sport 7100 -j SNAT --to-source 192.168.0.40 My problem is that the SNAT rule is not always run. Inbound traffic causes a connection tracking entry like this. [root]# conntrack -L -p udp udp 17 170 src=192.168.0.185 dst=192.168.0.40 sport=7100 dport=7100 src=192.168.0.20 dst=192.168.0.185 sport=7100 dport=7100 [ASSURED] mark=0 secmark=0 use=2 which means the POSTROUTING chain is not run and outbound traffic leaves with the real IP address as the source. I am thinking I can set up a NOTRACK rule in the raw table to prevent conntracking for this port number, but is there a better or more efficient way to make this work? Edit - Alternative question: Is there a way (in CentOS/Linux) to have an interface that can be bound to but not used, such that it can be attached to the network or detached when a shared IP address is swapped between servers?

    Read the article

  • Oracle: 1 Large Server vs. 2 Smaller Servers?

    - by nvahalik
    We are in the planning stages of setting up our production Oracle 10gR2 environment. Our budget gives us the ability to buy 2 processor licenses of Oracle DB Standard Edition. We have minimal experience with Oracle so I'll defer to anyone who has used it. We are trying to decide if we should set up a single dual quad-core box or 2 individual quad-core boxes in a RAC configuration. Our DB right now is about 60 GB, and at our peak, we'll have up to 150 concurrent users. Most of the big stuff is done via batch processing at night. My gut tells me that having 2 boxes in a RAC configuration can't be a bad thing because it provides a true hardware failover solution. DB stored in a shared LUN on a SAN via iSCSI. Plus if we ever need to add capacity, we already have boxes in place that can be upgraded with extra procs (I assume with zero downtime, since it's set up in a RAC config) if we add extra licenses, or RAM. Does RAC have any performance penalties? Will it add extra latency? Is there any true advantage for having dual processor boxes running these systems? If we build out the Oracle boxes with special hardware: hardware iSCSI cards, TOE NICs, will these boxes be solid? We are deploying on 64-bit Windows. So what would you do? One box or two?

    Read the article

  • Can I install windows on an SSD and access data from my old windows HDD?

    - by nzifnab
    I purchased new computer components, switching my hardware from AMD and Radeon to Intel and Nvidia. I kept components from my old computer like the powersupply and two HDDs. Everything appeared to install correctly and the system booted into the BIOS just fine (after a brief snafu with the CPU fan). My goal was to use the two harddrives and just be able to turn on the computer and load up my old windows install with all the files, programs, and documents. I expected to have to call Microsoft to re-register the windows install for the new hardware (since I had to do that last time I upgraded w/ the same windows version). When the computer attempts to boot into windows it briefly flashes a bluescreen and then restarts. System recovery gives a message something like "BadDriver Failover" something something. I assume this is because it's trying to use amd drivers for an intel chipset (or something...?) and I've been as-yet unsuccessful in getting it to boot into my old windows partition. SO! I decided eff it, maybe I'll go visit my nearest Micro Center and buy a 200 GB SSD, install windows onto that, and then... be able to access just the contents of both of my other harddrives? I don't intend on running any of the programs but there were some saved files I would like to salvage from the 500 GB harddrive, The 1.5 TB harddrive only had files on it, no OS or applications so I'd also expect to still be able to access it. Is this possible? Can I install the SSD and only format/install windows onto it and still access the contents from my two transferred-over drives?

    Read the article

  • query keepalived

    - by tdimmig
    *Note: I have trouble deciding what should go in serverfault and what should go in superuser, if some kindly admin decides this is in the wrong place please move it for me - many thanks. I am implementing a basic HA system with keepalived. I only want to be notified of the failover in the case of hardware failure. I do, however, have the servers switch roles periodically. I have a track_script running on the backup that will vary it's return between 0 and 1 on an interval (once a week, once a month, whatever). Upon returning 0, the priority is raised above that of the master, upon returning 1 the priority is lowered again. This way they trade places on the configured interval. The question: What can I do to tell the difference between a switch caused by my script, and a switch caused because one of the servers died? I certainly want to be notified when there is an actual problem, but not every time the servers change places because of the script. I see that version 1.2.7 has snmp support and I may be able to use it to get some information that could tell me one way or another, but to be honest I've never used snmp before and I don't know how to get the information I want with it (my Google foo failed me).

    Read the article

  • Slow network interaction between 2 kvm host machines

    - by VirtualNoob
    We have 2 physical machines, Host1 is a CentOS 6.4 kvm host and hosts ~7 kvm VMs all running Ubuntu 12.04 - all of this runs perfectly. Recently we've added a 2nd host system, host2, again a CentOS 6.4 kvm host with a view to running another couple of VMs and providing some failover against host1 should it be required. Both physical machines reside in the same cabinet in our DC, and are on the same subnet - let's say host1: 1.1.1.64 and host2: 1.1.1.81. Both have their gateway set to the DC gateway of 1.1.1.254 with no hardware firewall in between. On each machine, I have 4 NICs that are bonded together to form a single interface, which is then bridged to allow the VMs to access the network. All of the VMs are online, and all of them can successfully ssh into the hosts without any delay. Both systems can access the internet fine, and I can ssh into both systems from home without any issues. However, there is a real delay when attempting to ssh from host1 to host2 (or vice versa) and this obviously means that any action required on host2, that is controlled by host1 either takes forever or results in failure due to timeout. In the interest of keeping this post short, I've put my ifcfg files into a pastie: http://pastie.org/8081648 I've tried both adding a firewall rule in each machine for the other, and also disabling the firewall entirely, so that can't be the issue. I've tried troubleshooting this myself but can't seem to get to the bottom of it. Any help or advice would be appreciated. Thanks in advance.

    Read the article

  • nHibernate strategies in a web farm

    - by Pete Nelson
    Our current project at work is a new MVC web site that will use a WCF service primarily to access a 3rd party billing system via a web service as well as a small SQL database for user personalization. The WCF service uses nHibernate for the SQL database. We'd like to implement some sort of web farm for load balancing as well as failover and maintenance. I'm trying to decide the best way to handle nHibernate's caching and database concurrency if there are multiple WCF services running. Some scenarios I've been thinking about... 1) Multiple IIS servers, one WCF server. With this setup, the WCF server would be a single point of failure, but there would be no issues with nHibernate caching or database concurrency. 2) Multiple IIS servers, each with it's own WCF service. This removes a single point of failure, but now nHibernate on one machine would not know about database changes done by another machine. Some solutions to number 2 would be to use an IStatelessSession so we're not doing any caching and nHibernate is always fetching directly from the database. This might be the most feasible as our personalization database has very few objects in it. I'm also considering a 2nd-level cache such as memcached or Velocity, but it may be overkill for this system. I'm putting this out there to see if anyone has experience doing this sort of architecture and to get some ideas for a solution. Thanks!

    Read the article

  • Pros & Cons of Google App Engine

    - by Rishi
    Pros & Cons of Google App Engine [An Updated List 21st Aug 09] Help me Compile a List of all the Advantages & Disadvantages of Building an Application on the Google App Engine Pros: 1) No Need to buy Servers or Server Space (no maintenance). 2) Makes solving the problem of scaling much easier. Cons: 1) Locked into Google App Engine ?? 2)Developers have read-only access to the filesystem on App Engine. 3)App Engine can only execute code called from an HTTP request (except for scheduled background tasks). 4)Users may upload arbitrary Python modules, but only if they are pure-Python; C and Pyrex modules are not supported. 5)App Engine limits the maximum rows returned from an entity get to 1000 rows per Datastore call. 6)Java applications may only use a subset (The JRE Class White List) of the classes from the JRE standard edition. 7)Java applications cannot create new threads. Known Issues!! http://code.google.com/p/googleappengine/issues/list Hard limits Apps per developer - 10 Time per request - 30 sec Files per app - 3,000 HTTP response size - 10 MB Datastore item size - 1 MB Application code size - 150 MB Pro or Con? App Engine's infrastructure removes many of the system administration and development challenges of building applications to scale to millions of hits. Google handles deploying code to a cluster, monitoring, failover, and launching application instances as necessary. While other services let users install and configure nearly any *NIX compatible software, App Engine requires developers to use Python or Java as the programming language and a limited set of APIs. Current APIs allow storing and retrieving data from a BigTable non-relational database; making HTTP requests; sending e-mail; manipulating images; and caching. Most existing Web applications can't run on App Engine without modification, because they require a relational database.

    Read the article

  • How to make active services highly available?

    - by Jader Dias
    I know that with Network Load Balancing and Failover Clusteringwe can make passive services highly available. But what about active apps? Example: One of my apps retrieves some content from a external resource in a fixed interval. I have imagined the following scenarios: Run it in a single machine. Problem: if this instance falls, the content won't be retrieved Run it in each machine of the cluster. Problem: the content will be retrieved multiple times Have it in each machine of the cluster, but run it only in one of them. Each instance will have to check some sort of common resource to decide whether it its turn to do the task or not. When I was thinking about the solution #3 I have wondered what should be the common resource. I have thought of creating a table in the database, where we could use it to get a global lock. Is this the best solution? How does people usually do this? By the way it's a C# .NET WCF app running on Windows Server 2008

    Read the article

  • Full complete MySQL database replication? Ideas? What do people do?

    - by mauriciopastrana
    Currently I have two Linux servers running MySQL, one sitting on a rack right next to me under a 10 Mbit/s upload pipe (main server) and another some couple of miles away on a 3 Mbit/s upload pipe (mirror). I want to be able to replicate data on both servers continuously, but have run into several roadblocks. One of them being, under MySQL master/slave configurations, every now and then, some statements drop (!), meaning; some people logging on to the mirror URL don't see data that I know is on the main server and vice versa. Let's say this happens on a meaningful block of data once every month, so I can live with it and assume it's a "lost packet" issue (i.e., god knows, but we'll compensate). The other most important (and annoying) recurring issue is that, when for some reason we do a major upload or update (or reboot) on one end and have to sever the link, then LOAD DATA FROM MASTER doesn't work and I have to manually dump on one end and upload on the other, quite a task nowadays moving some .5 TB worth of data. Is there software for this? I know MySQL (the "corporation") offers this as a VERY expensive service (full database replication). I am just wondering what people out there do. The way it's structured, we run an automatic failover where if one server is not up, then the main URL just resolves to the other server.

    Read the article

  • How do I conditionally compile C code snippets to my Perl module?

    - by mobrule
    I have a module that will target several different operating systems and configurations. Sometimes, some C code can make this module's task a little easier, so I have some C functions that I would like to bind the code. I don't have to bind the C functions -- I can't guarantee that the end-user even has a C compiler, for instance, and it's generally not a problem to failover gracefully to a pure Perl way of accomplishing the same thing -- but it would be nice if I could call the C functions from the Perl script. Still with me? Here's another tricky part. Just about all of the C code is system specific -- a function written for Windows won't compile on Linux and vice-versa, and the function that does a similar thing on Solaris will look totally different. #include <some/Windows/headerfile.h> int foo_for_Windows_c(int a,double b) { do_windows_stuff(); return 42; } #include <path/to/linux/headerfile.h> int foo_for_linux_c(int a,double b) { do_linux_stuff(7); return 42; } Furthermore, even for native code that targets the same system, it's possible that only some of them can be compiled on any particular configuration. #include <some/headerfile/that/might/not/even/exist.h> int bar_for_solaris_c(int a,double b) { call_solaris_library_that_might_be_installed_here(11); return 19; } But ideally we could still use the C functions that would compile with that configuration. So my questions are: how can I compile C functions conditionally (compile only the code that is appropriate for the current value of $^O)? how can I compile C functions individually (some functions might not compile, but we still want to use the ones that can)? can I do this at build-time (while the end-user is installing the module) or at run-time (with Inline::C, for example)? Which way is better? how would I tell which functions were successfully compiled and are available for use from Perl? All thoughts appreciated!

    Read the article

  • Adatbázis szerver konszolidáció Oracle technológiákkal - eroforrás allokálás

    - by Lajos Sárecz
    Szerver konszolidációnál alapmegoldás a virtualizáció, pedig az Oracle Database rendelkezik olyan képességekkel, melyekkel a virtualizáció elonyeit élvezhetjük, ám teljesítményben felülmúljuk azt. Több adatbázis konszolidációját meg lehet oldani egy nagy szerveren, vagy egy több szerverbol álló klaszteren. Bármelyik megoldást is választjuk (ezek elonyeivel és hátrányaival most nem foglalkozok), az egyik legfontosabb megoldandó probléma, hogy biztonsággal el tudjuk oket szeparálni akár adatbiztonsági, akár eroforrás kezelési szempontból. A szoftveres és hardveres virtualizációk lehetové teszik, hogy a szerver eroforrásait több virtuális szerver között felosszuk, ezáltal elszeparálhatók a párhuzamosan futó adatbázis példányok. Ezek a megoldások általában költségesek, plusz adminisztrációt jelentenek és teljesítmény csökkenést okoznak. Az alábbiakban röviden összeszedem, hogy az Oracle Database milyen eroforrás szeparációs technológiákkal rendelkezik, melyek jól használhatók adatbázis konszolidáció esetén: Adatbázis szolgáltatások: Azt talán minden Oracle adatbázis-kezelovel foglalkozó szakérto tudja, hogy akliensek az adatbázist az adatbázis szolgáltatás nevével érik el. Alapértelmezetten minden adatbázis egyetlen szolgáltatással rendelkezik, mely automatikusan a 'global database name' paraméterrel megegyezo nevet kapja az adatbázis létrehozásakor. Ugyanakkor egy adatbázishoz több szolgáltatás név is rendelheto. A szolgáltatásokkal csoportosíthatók a különbözo feladatokat végrehajtó kliensek, és a szolgáltatásokhoz rendelhetjük hogy melyik kliens csoportnak mennyi rendszer eroforrást allokálunk. Klaszteres adatbázisok (RAC) esetén egy szolgáltatás több adatbázis példányhoz (szerverhez) kapcsolódhat, amivel valós terheléstol függo terhelés elosztás valósítható meg (itt már szerepet kap egyébként a Resource Manager is, lásd késobb). Az alkalmazás számára irrelevánssá válik, hogy az adott szolgáltatást mely szerver szolgálja ki. A szolgáltatásokhoz kapcsolódó eroforrások menet közben dinamikusan bovíthetok, de kezelik a kieso eroforrások hiányát is (failover). Database Resource Manager: Az Oracle Database Resource Manager az adatbázis szintjén kezeli az eroforrásokat, a CPU használatot szabályozza az adatbázis terhelés kontrolljával. A Resource Manager egy CPU-n adott pillanatban csak egyetlen Oracle processz futtatását engedélyezi, miközben a többit várakoztatja (ahogy az egy operációs rendszer ütemezojében is muködik). A Resource Manager csak akkor lép muködésbe, amikor a CPU terhelése eléri a 100%-ot. Ekkor a Resource Plan-nek megfeleloen korlátozhatja az egyes eroforrás csoportok számára elérheto eroforrás (CPU) mennyiségét. Instance Caging: A Resource Manager részeként az Oracle Database 11gR2-tol elérheto Instance Caging technológiával virtualizáció és operációs rendszer szintu eroforrás felosztás nélkül az adatbázis példány szintjén lehet szabályozni az allokált CPU számot. Erre akkor lehet szükség, ha egy szerveren több példány futtatására van szükség. A Resource Manager bekapcsolásával és a cpu_count paraméter beállításával lehet adatbázis példányonként aktiválni az Instance Caging funkcionalitást. A cpu_count egy dinamikus paraméter, célszeru arra az értékre állítani, ahány CPU-t az adott adatbázis példány maximálisan igényelhet. Lehetoség van túlméretezni a példányok számára rendelkezésre álló processzorok számát. Például egy 4 CPUs- szerver esetében ha van 3 példányunk, mindháromnak adhatunk 3 CPU-t. Azonban ha mindegyik terhelés alatt van, akkor a példány számára maximum allokált CPU szám osztva összes allokált CPU számmal arányban részesül a processzorból, ami a példában 33,33%, azaz 1,33 CPU. Input Output Resource Manager (IORM):Nem csak a processzorok használatát szabályozhatjuk, lehetoség van a megosztott storage eroforrásainak felosztására is. Az Input Output Resorce Manager (IORM) alkalmazásával storage szinten tudjuk szabályozni az adatbázisok közötti és azokon belüli minimális I/O szinteket. Database Vault: Ugyanazon adatbázisba konszolidált alkalmazások esetén a rendszergazda szerepkörök szeparálása lehetséges az Oracle Database Vault technológiával. Ezzel elérheto az, hogy biztonságosan konszolidáljuk adatbázisainkat úgy, hogy minden adminisztrátor csak a hozzá tartozó adatokat, objektumokat lássa, módosíthassa.

    Read the article

  • How To Clear An Alert - Part 2

    - by werner.de.gruyter
    There were some interesting comments and remarks on the original posting, so I decided to do a follow-up and address some of the issues that got raised... Handling Metric Errors First of all, there is a significant difference between an 'error' and an 'alert'. An 'alert' is the violation of a condition (a threshold) specified for a given metric. That means that the Agent is collecting and gathering the data for the metric, but there is a situation that requires the attention of an administrator. An 'error' on the other hand however, is a failure to collect metric data: The Agent is throwing the error because it cannot determine the value for the metric Whereas the 'alert' guarantees continuity of the metric data, an 'error' signals a big unknown. And the unknown aspect of all this is what makes an error a lot more serious than a regular alert: If you don't know what the current state of affairs is, there could be some serious issues brewing that nobody is aware of... The life-cycle of a Metric Error Clearing a metric error is pretty much the same workflow as a metric 'alert': The Agent signals the error after it failed to execute the metric The error is uploaded to the OMS/repository, where it becomes visible in the Console The error will remain active until the Agent is able to execute the metric successfully. Even though the metric is still getting scheduled and executed on a regular basis, the error will remain outstanding as long as the Agent is not capable of executing the metric correctly Knowing this, the way to fix the metric error should be obvious: Take the 'problem' away, and as soon as the metric is executed again (based on the frequency of the metric), the error will go away. The same tricks used to clear alerts can be used here too: Wait for the next scheduled execution. For those metrics that are executed regularly (like every 15 minutes or so), it's just a matter of waiting those minutes to see the updates. The 'Reevaluate Alert' button can be used to force a re-execution of the metric. In case a metric is executed once a day, this will be a better way to make sure that the underlying problem has been solved. And if it has been, the metric error will be removed, and the regular data points will be uploaded to the repository. And just in case you have to 'force' the issue a little: If you disable and re-enable a metric, it will get re-scheduled. And that means a new metric execution, and an update of the (hopefully) fixed problem. Database server-generated alerts and problem checkers There are various ways the Agent can collect metric data: Via a script or a SQL statement, reading a log file, getting a value from an SNMP OID or listening for SNMP traps or via the DBMS_SERVER_ALERTS mechanism of an Oracle database. For those alert which are generated by the database (like tablespace metrics for 10g and above databases), the Agent just 'waits' for the database to report any new findings. If the Agent has lost the current state of the server-side metrics (due to an incomplete recovery after a disaster, or after an improper use of the 'emctl clearstate' command), the Agent might be still aware of an alert that the database no longer has (or vice versa). The same goes for 'problem checker' alerts: Those metrics that only report data if there is a problem (like the 'invalid objects' metric) will also have a problem if the Agent state has been tampered with (again, the incomplete recovery, and after improper use of 'emctl clearstate' are the two main causes for this). The best way to deal with these kinds of mismatches, is to simple disable and re-enable the metric again: The disabling will clear the state of the metric, and the re-enabling will force a re-execution of the metric, so the new and updated results can get uploaded to the repository. Starting 10gR5, the Agent performs additional checks and verifications after each restart of the Agent and/or each state change of the database (shutdown/startup or failover in case of DataGuard) to catch these kinds of mismatches.

    Read the article

  • Oracle Data Integration 12c: Simplified, Future-Ready, High-Performance Solutions

    - by Thanos Terentes Printzios
    In today’s data-driven business environment, organizations need to cost-effectively manage the ever-growing streams of information originating both inside and outside the firewall and address emerging deployment styles like cloud, big data analytics, and real-time replication. Oracle Data Integration delivers pervasive and continuous access to timely and trusted data across heterogeneous systems. Oracle is enhancing its data integration offering announcing the general availability of 12c release for the key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c, delivering Simplified and High-Performance Solutions for Cloud, Big Data Analytics, and Real-Time Replication. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions : Supporting Current and Emerging Initiatives Extreme Performance : Even higher performance than ever before Fast Time-to-Value : Higher IT Productivity and Simplified Solutions  With the new capabilities in Oracle Data Integrator 12c, customers can benefit from: Superior developer productivity, ease of use, and rapid time-to-market with the new flow-based mapping model, reusable mappings, and step-by-step debugger. Increased performance when executing data integration processes due to improved parallelism. Improved productivity and monitoring via tighter integration with Oracle GoldenGate 12c and Oracle Enterprise Manager 12c. Improved interoperability with Oracle Warehouse Builder which enables faster and easier migration to Oracle Data Integrator’s strategic data integration offering. Faster implementation of business analytics through Oracle Data Integrator pre-integrated with Oracle BI Applications’ latest release. Oracle Data Integrator also integrates simply and easily with Oracle Business Analytics tools, including OBI-EE and Oracle Hyperion. Support for loading and transforming big and fast data, enabled by integration with big data technologies: Hadoop, Hive, HDFS, and Oracle Big Data Appliance. Only Oracle GoldenGate provides the best-of-breed real-time replication of data in heterogeneous data environments. With the new capabilities in Oracle GoldenGate 12c, customers can benefit from: Simplified setup and management of Oracle GoldenGate 12c when using multiple database delivery processes via a new Coordinated Delivery feature for non-Oracle databases. Expanded heterogeneity through added support for the latest versions of major databases such as Sybase ASE v 15.7, MySQL NDB Clusters 7.2, and MySQL 5.6., as well as integration with Oracle Coherence. Enhanced high availability and data protection via integration with Oracle Data Guard and Fast-Start Failover integration. Enhanced security for credentials and encryption keys using Oracle Wallet. Real-time replication for databases hosted on public cloud environments supported by third-party clouds. Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c and other Oracle technologies, such as Oracle Database 12c and Oracle Applications, provides a number of benefits for organizations: Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c enables developers to leverage Oracle GoldenGate’s low overhead, real-time change data capture completely within the Oracle Data Integrator Studio without additional training. Integration with Oracle Database 12c provides a strong foundation for seamless private cloud deployments. Delivers real-time data for reporting, zero downtime migration, and improved performance and availability for Oracle Applications, such as Oracle E-Business Suite and ATG Web Commerce . Oracle’s data integration offering is optimized for Oracle Engineered Systems and is an integral part of Oracle’s fast data, real-time analytics strategy on Oracle Exadata Database Machine and Oracle Exalytics In-Memory Machine. Oracle Data Integrator 12c and Oracle GoldenGate 12c differentiate the new offering on data integration with these many new features. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. Find out much more about the new release in the video webcast "Introducing 12c for Oracle Data Integration", where customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Resource Kits Meet Oracle Data Integration 12c  Discover what's new with Oracle Goldengate 12c  Oracle EMEA DIS (Data Integration Solutions) Partner Community is available for all your questions, while additional partner focused webcasts will be made available through our blog here, so stay connected. For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

    Read the article

  • BizTalk 2009 - Architecture Decisions

    - by StuartBrierley
    In the first step towards implementing a BizTalk 2009 environment, from development through to live, I put forward a proposal that detailed the options available, as well as the costs and benefits associated with these options, to allow an informed discusion to take place with the business drivers and budget holders of the project.  This ultimately lead to a decision being made to implement an initial BizTalk Server 2009 environment using the Standard Edition of the product. It is my hope that in the long term, as projects require it and allow, we will be looking to implement my ideal recommendation of a multi-server enterprise level environment, but given the differences in cost and the likely initial work load for the environment this was not something that I could fully recommend at this time.  However, it must be noted that this decision was made in full awareness of the limits of the standard edition, and the business drivers of this project were made fully aware of the risks associated with running without the failover capabilities of the enterprise edition. When considering the creation of this new BizTalk Server 2009 environment, I have also recommended the creation of the following pre-production environments:   Usage Environment Development Development of solutions; Unit testing against technical specifications; Initial load testing; Testing of deployment packages;  Visual Studio; BizTalk; SQL; Client PCs/Laptops; Server environment similar to Live implementation; Test Testing of Solutions against business and technical requirements;  BizTalk; SQL; Server environment similar to Live implementation; Pseudo-Live As Live environment to allow testing against Live implementation; Acts as back-up hardware in case of failure of Live environment; BizTalk; SQL; Server environment identical to Live implementation; The creation of these differing environments allows for the separation of the various stages of the development cycle.  The development environment is for use when actively developing a solution, it is a potentially volatile environment whose state at any given time can not be guaranteed.  It allows developers to carry out initial tests in an environment that is similar to the live environment and also provides an area for the testing of deployment packages prior to any release to the test environment. The test environment is intended to be a semi-volatile environment that is similar to the live environment.  It will change periodically through the development of a solution (or solutions) but should be otherwise stable.  It allows for the continued testing of a solution against requirements without the worry that the environment is being actively changed by any ongoing development.  This separation of development and test is crucial in ensuring the quality and control of the tested solution. The pseudo-live environment should be considered to be an almost static environment.  It should mimic the live environment and can act as back up hardware in the case of live failure.  This environment acts as an area to allow for “as live” testing, where the performance and behaviour of the live solutions can be replicated.  There should be relatively few changes to this environment, with software releases limited to “release candidate” level releases prior to going live. Whereas the pseudo-live environment should always mimic the live environment, to save on costs the development and test servers could be implemented on lower specification hardware.  Consideration can also be given to the use of a virtual server environment to further reduce hardware costs in the development and test environments, indeed this virtual approach can also be extended to pseudo-live and live assuming the underlying technology is in place. Although there is no requirement for the development and test server environments to be identical to live, the overriding architecture implemented should be the same as in live and an understanding must be gained of the performance differences to be expected across the different environments.

    Read the article

  • Solaris 11 Update 1 - Link Aggregation

    - by Wesley Faria
    Solaris 11.1 No início desse mês em um evento mundial da Oracle chamado Oracle Open World foi lançada a nova release do Solaris 11. Ela chega cheia de novidades, são aproximadamente 300 novas funcionalidade em rede, segurança, administração e outros. Hoje vou falar de uma funcionalidade de rede muito interessante que é o Link Aggregation. O Solaris já suporta Link Aggregation desde Solaris 10 Update 1 porem no Solaris 11 Update 1 tivemos incrementos significantes. O Link Aggregation como o próprio nome diz, é a agregação de mais de uma inteface física de rede em uma interface lógica .Veja agumas funcionalidade do Link Aggregation: · Aumentar a largura da banda; · Imcrementar a segurança fazendo Failover e Failback; · Melhora a administração da rede; O Solaris 11.1 suporta 2(dois) tipos de Link Aggregation o Trunk aggregation e o Datalink Multipathing aggregation, ambos trabalham fazendo com que o pacote de rede seja distribuído entre as intefaces da agregação garantindo melhor utilização da rede.vamos ver um pouco melhor cada um deles. Trunk Aggregation O Trunk Aggregation tem como objetivo aumentar a largura de banda, seja para aplicações que possue um tráfego de rede alto seja para consolidação. Por exemplo temos um servidor que foi adquirido para comportar várias máquinas virtuais onde cada uma delas tem uma demanda e esse servidor possue 2(duas) placas de rede. Podemos então criar uma agregação entre essas 2(duas) placas de forma que o Solaris 11.1 vai enchergar as 2(duas) placas como se fosse 1(uma) fazendo com que a largura de banda duplique, veja na figura abaixo: A figura mostra uma agregação com 2(duas) placas físicas NIC 1 e NIC 2 conectadas no mesmo switch e 2(duas) interfaces virtuais VNIC A e VNIC B. Porem para que isso funcione temos que ter um switch com suporte a LACP ( Link Aggregation Control Protocol ). A função do LACP é fazer a aggregação na camada do switch pois se isso não for feito o pacote que sairá do servidor não poderá ser montado quando chegar no switch. Uma outra forma de configuração do Trunk Aggregation é o ponto-a-ponto onde ao invéz de se usar um switch, os 2 servidores são conectados diretamente. Nesse caso a agregação de um servidor irá falar diretamente com a agregação do outro garantindo uma proteção contra falhas e tambem uma largura de banda maior. Vejamos como configurar o Trunk Aggregation: 1 – Verificando quais intefaces disponíveis # dladm show-link 2 – Verificando interfaces # ipadm show-if 3 – Apagando o endereçamento das interfaces existentes # ipadm delete-ip <interface> 4 – Criando o Trunk aggregation # dladm create-aggr -L active -l <interface> -l <interface> aggr0 5 – Listando a agregação criada # dladm show-aggr Data Link Multipath Aggregation Como vimos anteriormente o Trunk aggregation é implementado apenas 1(um) switch que possua suporte a LACP portanto, temos um ponto único de falha que é o switch. Para solucionar esse problema no Solaris 10 utilizavamos o IPMP ( IP Multipathing ) que é a combinação de 2(duas) agregações em um mesmo link ou seja, outro camada de virtualização. Agora com o Solaris 11 Update 1 isso não é mais necessário, voce pode ter uma agregação de 2(duas) interfaces físicas e cada uma conectada a 1(um) swtich diferente, veja a figura abaixo: Temos aqui uma agregação chamada aggr contendo 4(quatro) interfaces físicas sendo que as interfaces NIC 1 e NIC 2 estão conectadas em um Switch e as intefaces NIC 3 e NIC 4 estão conectadas em outro Swicth. Além disso foram criadas mais 4(quatro) interfaces virtuais vnic A, vnic B, vnic C e vnic D que podem ser destinadas a diferentes aplicações/zones. Com isso garantimos alta disponibilidade em todas a camadas pois podemos ter falhas tanto em switches, links como em interfaces de rede físicas. Para configurar siga os mesmo passos da configuração do Trunk Aggregation até o passo 3 depois faça o seguinte: 4 – Criando o Trunk aggregation # dladm create-aggr -m haonly -l <interface> -l <interface> aggr0 5 – Listando a agregação criada # dladm show-aggr Depois de configurado seja no modo Trunk aggregation ou no modo Data Link Multipathing aggregation pode ser feito a troca de um modo para o outro, pode adcionar e remover interfaces físicas ou vituais. Bem pessoal, era isso que eu tinha para mostar sobre a nova funcionalidade do Link Aggregation do Solaris 11 Update 1 espero que tenham gostado, até uma próxima novidade.

    Read the article

< Previous Page | 14 15 16 17 18 19 20 21  | Next Page >