Search Results

Search found 9715 results on 389 pages for 'servers'.

Page 76/389 | < Previous Page | 72 73 74 75 76 77 78 79 80 81 82 83  | Next Page >

  • Juju bootstrap, install

    - by Robert G.
    I would like to test MAAS + JUJU + OpenStack (I followed the documentation on maas.ubuntu.org) I already made a test environment: 1 MAAS server wich will also run JuJu 10 KVM servers for Openstack The KVM servers are already in "ready" state in MAAS. I would like to set up JuJu but i could not which is drives me crazy. My environments.yaml: environments: maassrv: type: maas maas-server: 'http://${192.168.1.116}/MAAS/' maas-oauth: 'my-key-from-maas' authorized-keys-path: /root/.ssh/id_rsa.pub admin-secret: 1234 default-series: trusty When I run "juju status -e maassrv` : ERROR Unable to connect to environment "maassrv". Please check your credentials or use 'juju bootstrap' to create a new environment. Error details: environment "maassrv" not found OK, it's right, so i should run juju bootstrap -e maassrv: ERROR environment "maassrv" not found When i run the command without the -e switch: error: no environment specified So, I am stuck here, I already added the required ssh keys to maas too. I ran out of ideas why it isn't working.

    Read the article

  • Announcing: Oracle's Sun Flash Accelerator F80 PCIe Card

    - by uwes
    Ramp Up Your Server Performance with Oracle's Sun Flash Accelerator F80 PCIe Card! Oracle’s Sun Flash Accelerator F80 PCIe Card accelerates IO-starved applications and server performance by reducing storage latencies and increasing I/O throughput for greater productivity and business response! Sun Flash Accelerator F80 PCIe Card offers the following: Helps servers and their applications run faster and more efficient, while reducing power and space With 800GB capacity, delivers 2x the capacity of the previous F40 Flash Card for less than half the $/GB Accelerates I/O constrained databases with increased IOPS and consistent low-latency response timers Current and planned server support includes: The F80 is currently supported in Oracle’s SPARC T4-1, T4-2 and X4-2L servers.  SPARC T5, M5, M6 and Fujitsu M10 server support is planned for December 2013 (Preliminary only) Please read the Sales Bulletin on Oracle HW TRC for more details. (If you are not registered on Oracle HW TRC, click here ... and follow the instructions..) For More Information Go To: Oracle.com Flash Page Oracle Technology Network Flash Page

    Read the article

  • How do I set a static DNS nameserver address on Ubuntu Server?

    - by Aleks
    I am trying statically to set DNS server addresses in my Ubuntu server running as virtual machine. I followed all recommendations on official Ubuntu support pages but I simply cannot get rid of my ISP's DNS servers set by DHCP. I assigned br0 interface on my host machine static IP address and eth0 on VM to use Google DNS and my own local DNS running on the second vm by setting it in /etc/network/interfaces. Tried to fiddle with head base and tail files in /etc/resolvconf/resolv.conf.d/ and tried to shuffle interface-order in /etc/resolvconf/interface-order but when I restarted network service I got the ISP's DNS addresses back every time. Is there a way that I can disable resolvconf and set up my resolv.conf file manually as I always did on Red Hat? Or at can you tell me which hook script keeps putting ISP DNSs in resolv.conf? My ISP don't allow me to change DHCP settings on my router so I cannot do it that way. Why is such a simple thing such as setting DNS servers got so complicated???

    Read the article

  • Juju didn't configure rabbitmq for openstack?

    - by SaM
    I have installed ubuntu Openstack HA with juju with all 24 servers. But my openstack is not working at all. On dashboard on every page I get errors saying "could not retrieve usage information", "could not retrieve volume information, "could not retrieve .....etc I spent hours and have discovered that juju has not done configuration correctly. I found that on cloud controller in nova.conf juju has added rabitmq vhost enrty, but that virtual host is not added in rabbitmq. Then how is its suppose to work? And on juju-gui canvas rabbimq is all green and is working fine, which in reality its not. I am really wondering if juju has really done correct configuration in all 24 servers now, I am getting the feeling that it would have been faster if I would have done openstack deployment manually instead of using juju. Why was the virtual host entry not added in rabbitmq? How should I solve this?

    Read the article

  • Ubuntu server spontaneous reboot

    - by user1941407
    I have got two ubuntu 12.04 servers(xeon e3). Sometimes(several days) each server spontaneously reboots. HDDs and other hardware are ok. Which logfile can help find a reason of the problem? UPDATED. hardware: xeon e3 processor, intel server motherboard, 32gb ddr3 ecc, mdadm mirror hdd raid for system, mdadm ssd raid for database(postgres). Both servers have similar (not identical) components. Smart is OK. It seems that the problem is in the software. Python process and database are running on this servers. Syslog (time of reboot): Aug 23 13:42:23 xeon hddtemp[1411]: /dev/sdc: WDC WD15NPVT-00Z2TT0: 34 C Aug 23 13:42:23 xeon hddtemp[1411]: /dev/sdd: WDC WD15NPVT-00Z2TT0: 34 C Aug 23 13:43:24 xeon hddtemp[1411]: /dev/sdc: WDC WD15NPVT-00Z2TT0: 34 C Aug 23 13:43:24 xeon hddtemp[1411]: /dev/sdd: WDC WD15NPVT-00Z2TT0: 34 C Aug 23 13:44:14 xeon sensord: Chip: acpitz-virtual-0 Aug 23 13:44:14 xeon sensord: Adapter: Virtual device Aug 23 13:44:14 xeon sensord: temp1: 27.8 C Aug 23 13:44:14 xeon sensord: temp2: 29.8 C Aug 23 13:44:14 xeon sensord: Chip: coretemp-isa-0000 Aug 23 13:44:14 xeon sensord: Adapter: ISA adapter Aug 23 13:44:14 xeon sensord: Physical id 0: 37.0 C Aug 23 13:44:14 xeon sensord: Core 0: 37.0 C Aug 23 13:44:14 xeon sensord: Core 1: 37.0 C Aug 23 13:44:14 xeon sensord: Core 2: 37.0 C Aug 23 13:44:14 xeon sensord: Core 3: 37.0 C Aug 23 13:44:24 xeon hddtemp[1411]: /dev/sdc: WDC WD15NPVT-00Z2TT0: 34 C Aug 23 13:44:24 xeon hddtemp[1411]: /dev/sdd: WDC WD15NPVT-00Z2TT0: 34 C Aug 23 13:47:01 xeon kernel: imklog 5.8.6, log source = /proc/kmsg started. Aug 23 13:47:01 xeon rsyslogd: [origin software="rsyslogd" swVersion="5.8.6" x-pid="582" x-info="http://www.rsyslog.com"] start Aug 23 13:47:01 xeon rsyslogd: rsyslogd's groupid changed to 103 Aug 23 13:47:01 xeon rsyslogd: rsyslogd's userid changed to 101 Aug 23 13:47:00 xeon rsyslogd-2039: Could not open output pipe '/dev/xconsole' [try http://www.rsyslog.com/e/2039 ] Aug 23 13:47:01 xeon kernel: [ 0.000000] Initializing cgroup subsys cpuset Aug 23 13:47:01 xeon kernel: [ 0.000000] Initializing cgroup subsys cpu Aug 23 13:47:01 xeon kernel: [ 0.000000] Initializing cgroup subsys cpuacct Aug 23 13:47:01 xeon kernel: [ 0.000000] Linux version 3.11.0-26-generic (buildd@komainu) (gcc version 4.6.3 (Ubuntu/Linaro 4.6.3-1ubuntu5) ) #45~precise1-Ubuntu SMP Tue Jul 15 04:02:35 UTC 2014 (Ubuntu 3.11.0-26.45~precise1-generic 3.11.10.12) Aug 23 13:47:01 xeon kernel: [ 0.000000] Command line: BOOT_IMAGE=/boot/vmlinuz-3.11.0-26-generic root=UUID=0daa7f53-6c74-47d2-873e-ebd339cd39b0 ro splash quiet vt.handoff=7 Aug 23 13:47:01 xeon kernel: [ 0.000000] KERNEL supported cpus: Aug 23 13:47:01 xeon kernel: [ 0.000000] Intel GenuineIntel Aug 23 13:47:01 xeon kernel: [ 0.000000] AMD AuthenticAMD Aug 23 13:47:01 xeon kernel: [ 0.000000] Centaur CentaurHauls Aug 23 13:47:01 xeon kernel: [ 0.000000] e820: BIOS-provided physical RAM map: Aug 23 13:47:01 xeon kernel: [ 0.000000] BIOS-e820: [mem 0x0000000000000000-0x000000000009bbff] usable Aug 23 13:47:01 xeon kernel: [ 0.000000] BIOS-e820: [mem 0x000000000009bc00-0x000000000009ffff] reserved Dmseg - nothing strange.

    Read the article

  • Timeout Considerations for Solicit Response

    - by Michael Stephenson
    Background One of the clients I work with had been experiencing some issues for a while surrounding web service timeouts.  It's been a little challenging to work through the problems due to limitations in the diagnostic information available from one of the applications, but I learned some interesting things while troubleshooting the problem which don't seem to have been discussed much in the community so I thought I'd share my findings. In the scenario we have BizTalk trying to make calls to a .net web service which was exposed as a WSE 2 endpoint.  In the process BizTalk will try to make a large number of concurrent web service calls to the application, and the backend application has more than enough infrastructure and capability to handle the load. We have configured the <ConnectionManagement> section of the BizTalk configuration file to support up to 100 concurrent connections from each of our 2 BizTalk send servers to the web servers of the application. The problem we were facing was that the BizTalk side was reporting a significant number of timeouts when calling the web service.   One of the biggest issues was the challenge of being able to correlate a message from BizTalk to the IIS log in the .net application and the custom logs in the application especially when there was a fairly large number of servers hosting the web services.  However the key moment came when we were able to identify a specific call which had taken 40 seconds to execute on the server (yes a long time I know but that's a different story!).  Anyway we were able to identify that this had timed out on the BizTalk side.  Based on the normal 2 minute timeout we knew something unexpected was going on. From here I decided to do some experimentation and I wanted to start outside of BizTalk because my hunch was this was not a BizTalk behaviour but something which was being highlighted by BizTalk because of our large load.     Server-side - Sample Web Service To begin with I created a sample web service.  Nothing special just a vanilla asmx web service hosted in IIS6 on Windows 2003 Standard Edition.  The web service is just a hello world style web service as shown in the below picture.  The only key feature is that the server side web method has a 30 second sleep in it and will trace out some information before and after the thread is set to sleep.      In the configuration for this web service there again is nothing special it's pretty much the most plain simple web service you could build. Client-Side To begin looking at what was happening with our example I created a number of different ways to consume the web service. SoapHttpClientProtocol Example I created a small application which would use a normal proxy generated to call the web service.  It would iterate around a loop and make calls using the begin/end methods so I can do this asynchronously.  I would do a loop of 20 calls with the ConnectionManager configuration section supporting only 5 concurrent connections to the server.     <connectionManagement> <remove address="*"/> <add address = "*" maxconnection = "12" /> <add address = "http://<ServerName>" maxconnection = "5" />                         </connectionManagement> </system.net>     The below picture shows an example of the service calling code, key points are: I have configured the timeout of 40 seconds for the proxy I am using the asynchronous methods on the proxy to call the web service         The Test I would run the client and execute 21 calls to the web service.   The Results  Below is the client side trace showing what's happening on the client. In the below diagram is the web service side trace showing what's happening on the server Some observations on the results are: All of the calls were successful from the clients perspective You could see the next call starting on the server as soon as the previous one had completed Calls took significantly longer than 40 seconds from the start of our call to the return. In fact call 20 took 2 minutes and 30 seconds from the perspective of my code to execute even though I had set the timeout to 40 seconds     WSE 2 Sample In the second example I used the exact same code to call the web service again with a single exception that I modified the web service proxy to derive from WebServiceClient protocol which is part of WSE 2 (using SP3).  The below picture shows the basic code and the key points are: I have configured the timeout of 40 seconds for the proxy I am using the asynchronous methods on the proxy to call the web service        The Test This test would execute 21 calls from the client to the web service.   The Results  The below trace is from the client side: The below trace is from the server side:   Some observations on the trace results for this scenario are: With call 4 if you look at the server side trace it did not start executing on the server for a number of seconds after the other 4 initial calls which were accepted by the server. I re-ran the test and this happened a couple of times and not on most others so at this point I'm just putting this down to something unexpected happening on the development machine and we will leave this observation out of scope of this article. You can see that the client side trace statement executed almost immediately in all cases All calls after the initial few calls would timeout On the client side the calls that did timeout; timed out in a longer duration than the 40 seconds we set as the timeout You can see that as calls were completing on the server the next calls were starting to come through The calls that timed out on the client did actually connect to the server and their server side execution completed successfully     Elaboration on the findings Based on the above observations I have drawn the below sequence diagram to illustrate conceptually what is happening.  Everything except the final web service object is on the client side of the call. In the diagram below I've put two notes on the Web Service Proxy to show the two different places where the different base classes seem to start their timeout counters. From the earlier samples we can work out that the timeout counter for the WSE web service proxy starts before the one for the SoapHttpClientProtocol proxy and the WSE one includes the time to get a connection from the pool; whereas the Soap proxy timeout just covers the method execution. One interesting observation is if we rerun the above sample and increase the number of calls from 21 to 100,000 then for the WSE sample we will see a similar pattern where everything after the first few calls will timeout on the client as soon as it makes a connection to the server whereas the soap proxy will happily plug away and process all of the calls without a single timeout. I have actually set the sample running overnight and this did happen. At this point you are probably thinking the same thoughts I was at the time about the differences in behaviour and which is right and why are they different? I'm not sure there is a definitive answer to this in the documentation, or at least not that I could find! I think you just have to consider that they are different and they could have different effects depending on your messaging solution. In lots of situations this is just not an issue as your concurrent requests doesn't get to the situation where you end up throttling the web service calls on the client side, however this is definitely more common with an integration broker such as BizTalk where you often have high throughput requirements.  Some of the considerations you should make Based on this behaviour you should be aware of the following: In a .net application if you are making lots of concurrent web service calls from an application in an asynchronous manner your user may thing they are experiencing poor performance but you think your web service is working well. The problem could be that the client will have a default of 2 connections to remote servers so you should bear this in mind When you are developing a BizTalk solution or a .net solution with the WSE 2 stack you may experience timeouts under load and throttling the number of connections using the max connections element in the configuration file will not help you For an application using WSE2 or SoapHttpClientProtocol an expired timeout will not throw an error until after a connection to the server has been made so you should consider this in your transaction and durability patterns     Our Work Around In the short term for our specific scenario we know that we can handle this by just increasing our timeout value.  There is only a specific small window when we get lots of concurrent traffic that causes this scenario so we should be able to increase the timeout to take into consideration the additional client side wait, and on the odd occasion where we do get a timeout the BizTalk send port retry will handle this. What was causing our original problem was that for that short window we were getting a lot of retries which significantly increased the load on our send servers and highlighted the issue.  Longer Term Solution As a longer term solution this really gives us more ammunition to argue a migration to WCF. The application we are calling has some factors which limit the protocols we can use but with WCF we would have more control on the various timeout options because in WCF you can configure specific parts of the timeout. Summary I've had this blog post on my to do list for ages but hopefully it will be useful to some people to just understand this behaviour and to possibly help you with some performance issues you may have. I do not believe there is too much in the way of documentation particularly around WSE2 and ASMX in this area so again another bit of ammunition for migrating to WCF. I'll try to do a follow up post with the sample for WCF to show how this changes things.

    Read the article

  • Remote Development With Solaris Studio

    - by rchrd
    A new technical article has been published on OTN: How to Develop Code from a Remote Desktop with Oracle Solaris Studio by Igor Nikiforov This article describes the remote desktop feature of the Oracle Solaris Studio IDE, and how to use it to compile, run, debug, and profile your code running on remote servers. Published May 2012 Introducing the IDE Desktop Distribution Determining Whether You Need the Desktop Distribution Creating the Desktop Distribution Using the Desktop Distribution See Also About the Author Introducing the IDE Desktop Distribution Sun Studio 12 Update 1 introduced a unique remote development feature that allows you to run just one instance of the IDE while working with multiple servers and platforms. For example, you could run the IDE on an x86-based laptop or desktop running Oracle Linux, and use a SPARC-based server running Oracle Solaris 10 to compile, run, debug, and profile your code. The IDE works seamlessly just as if you had the Oracle Solaris operating system on your laptop or desktop. ....read more

    Read the article

  • Webcast: Introducing the New Oracle VM Blade Cluster Reference Configuration

    - by Ferhat Hatay
    The Fastest Way to Virtualize Your Datacenter Join our webcast “Best Practices for Speeding Virtual Infrastructure Deployment with Oracle VM” Tues., January 25, 2011 9 a.m. PT / 12 p.m. ET Presented by: Marc Shelley, Senior Manager, Oracle Blades Product Management Tom Lisjac, Senior Member, Oracle Technical Staff Register now for our live webcast! The Oracle VM blade cluster reference configuration addresses the key challenges associated with deploying a virtualization infrastructure. It eliminates or significantly reduces the assembly and integration of the following components BY UP TO 98%: Servers Storage Network Connections Virtualization Software Operating Systems Attend this fact-filled, how-to Webcast with Oracle experts to learn the best practices for deploying the reference configuration for Oracle VM Server for x86 and Sun Blade and Sun Fire x86 rack mount servers. Virtualization is easier than ever with this new configuration. Register now for our live webcast! For more information, see: Oracle white paper: Accelerating deployment of virtualized infrastructures with the Oracle VM blade cluster reference configuration Oracle technical white paper: Best Practices and Guidelines for Deploying the Oracle VM Blade Cluster Reference Configuration

    Read the article

  • Java EE 7 turns one today!

    - by delabassee
    "Tell me and I forget. Teach me and I remember. Involve me and I learn." (Benjamin Franklin) Today marks the first year anniversary of Java EE 7. The JSR 342 specification was finalised on May 28, 2013 with the official launch taking place on June 12, 2013 (original press release). As of today, there are already 3 Java EE 7 compatible Application Servers, coming from different 'vendors' (Oracle, TmaxSoft and Red Hat). Two of those Java EE 7 Application Servers are free and open source. We expect the list of Java EE 7 compatible Application Servers to grow over the coming months. Source: RebelLabs - 'Java Tools and Technologies Landscape for 2014' According to a recent independent survey, one third of the Java EE users who participated in that survey is already using Java EE 7. This is a good sign but it also means that a lot of people are not yet on Java EE 7. So if you haven't yet embarked on Java EE 7, now is really the time to do so! There are various ways to learn Java EE 7, in no particular order ... Continue to read The Aquarium. Through this blog, we are relaying Java EE news but we are also doing our best to highlight relevant technical contents such as articles, community tutorials, etc. Watch the GlassFish YouTube channel. Amongst others, it contains the different videos of the Java EE 7 launch, those videos will give you good technical update on Java EE and its different components specifications (JMS 2.0, JAX-RS 2.0, EJB 3.2, etc.) Take a formal training. Oracle University is starting to roll-out Java EE 7 trainings like the 'Java EE 7: New Features' class.  Attend conferences and JUGs sessions. On that note, we have spent a lot of time to create a strong JavaOne 'Server-Side Java' track. It's still possible to benefit from the early bird JavaOne pricing but don't wait too much! Read books. There are more than 25 (!) books related to Java EE 7 or to one of the Java EE 7 component specification.  There are many more ways to learn Java EE but if I have to suggest one and only one way, I would recommend the Java EE 7 Tutorial. It's exhaustive and clear, it's free and it continues to evolve. And finally as the introductory quote suggest, participation is key to learning. Participate in JUGs,  participate in Adopt-a-JSR, get involved in the different open source communities evolving around Java EE, participate in the JCP... in one word, participate!

    Read the article

  • Why use link classes in oql instead of classes that contain links

    - by Isaac
    itop abstracts its very complex database design with an object query language (oql). For this there are classes definded, like 'Ticket' and 'Server'. Now a Ticket usually is linked to a Server. In my naive way I would give the Ticket class an attribute 'affected_server_list', where I could reference the affected servers. itop does it different: neither Servers nor Tickets know of each other. Instead there is a class 'linkTicketToServer', which provides the link between the two. The first thing I noticed is that it makes oql queries more complex. So I wondered why they designed it this way. One thing that occured to me is that it allows for more flexiblity, in that I can add links without modifying the original classes. Is this allready why one would implement it this way, or are there other reasons for this kind of design?

    Read the article

  • alternative to environment variables

    - by tonyl7126
    The amount of servers and the complexity of our application is growing and we now have servers in different regions (hosted on AWS). Certain database operations require low latency so we have stuck a database in each region (which is basically a user cache) to keep the network latency low. The way the application server currently knows which user cache/database to make its call to depends on an environemnt variable set in it. This has been working fine, but it seems hacky and not optimal. Is there any way for this to be done automatically? I was considering using a package like fping and pinging each database when the app server reloads (or caching it the first time) and using the corresponding latencies to decide which database has the lowest latency for each app server. Not sure if this is the best idea though.

    Read the article

  • Chargeback and showback...both a 'throw back'

    - by llaszews
    Been getting asked again by customers and partners about chargeback and showback in the cloud so thought I would blog on my response to this question. Charge Back background, information and industry analysis: Cloud computing is all about shared resources. These shared resources are computer servers (including memory and CPU), network devices, hard disk storage, database servers, application servers, cooling, floor space, electricity and more. These resources are shared by departments within a company, or by a number of companies, when resources are hosted in the public or hybrid cloud. Currently, hosting providers that run other companies on their cloud platforms do not have an accurate way to measure the shared computing resources used by a specific user let alone used by a specific customer. Additionally, companies running their own cloud data centers, for private or hybrid clouds, have no way of measure and charging back the departments in the company that are using these shared cloud resources. In both cases, the lack of determine shared resource costs and to charge them back to the company, department or user that is using this resources is limited a clear measure of business benefit and impacting company’s ability to measure the Return on Investment (ROI). An IT chargeback system is an accounting strategy that applies the costs of IT services, hardware or software to the business unit in which they are used. This system contrasts with traditional IT accounting models in which a centralized department bears all of the IT costs in an organization and those costs are treated simply as corporate overhead. Showback involves showing the IT costs to a department or customer but not actually charging them for their IT usage. Showback is a gradual method of introducing chargeback into an enterprise. Most companies implement a show back mechanism before a full chargeback system is put in place. Oracle chargeback product: Oracle Enterprise Manager provides tools for defining detailed Chargeback plans spanning different metrics collected for each type of resources as well as defining Cost Centers for grouping costs across multiple developers. Chargeback plans can use not only usage based costs, but also configuration based costs (e.g. version of the platform) or fixed costs (e.g. flat-rate management fee). Chargeback has rich out of the box reports. Trending reports show how charge and resource consumption varies over time, while Summary reports show the breakdown of charges or usage by different dimensions such as Cost Center or Target Type. These reports help consumers in understanding how their charges relate to their consumption and also assist the IT department with budgeting and planning activities. With BI Publisher, the reports can be made available in a variety of formats such as PDF, HTML, Word, Excel or PowerPoint.

    Read the article

  • What Keeps You from Changing Your Public IP Address and Wreaking Havoc on the Internet?

    - by Jason Fitzpatrick
    What exactly is preventing you (or anyone else) from changing their IP address and causing all sorts of headaches for ISPs and other Internet users? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-driven grouping of Q&A web sites. The Question SuperUser reader Whitemage is curious about what’s preventing him from wantonly changing his IP address and causing trouble: An interesting question was asked of me and I did not know what to answer. So I’ll ask here. Let’s say I subscribed to an ISP and I’m using cable internet access. The ISP gives me a public IP address of 60.61.62.63. What keeps me from changing this IP address to, let’s say, 60.61.62.75, and messing with another consumer’s internet access? For the sake of this argument, let’s say that this other IP address is also owned by the same ISP. Also, let’s assume that it’s possible for me to go into the cable modem settings and manually change the IP address. Under a business contract where you are allocated static addresses, you are also assigned a default gateway, a network address and a broadcast address. So that’s 3 addresses the ISP “loses” to you. That seems very wasteful for dynamically assigned IP addresses, which the majority of customers are. Could they simply be using static arps? ACLs? Other simple mechanisms? Two things to investigate here, why can’t we just go around changing our addresses, and is the assignment process as wasteful as it seems? The Answer SuperUser contributor Moses offers some insight: Cable modems aren’t like your home router (ie. they don’t have a web interface with simple point-and-click buttons that any kid can “hack” into). Cable modems are “looked up” and located by their MAC address by the ISP, and are typically accessed by technicians using proprietary software that only they have access to, that only runs on their servers, and therefore can’t really be stolen. Cable modems also authenticate and cross-check settings with the ISPs servers. The server has to tell the modem whether it’s settings (and location on the cable network) are valid, and simply sets it to what the ISP has it set it for (bandwidth, DHCP allocations, etc). For instance, when you tell your ISP “I would like a static IP, please.”, they allocate one to the modem through their servers, and the modem allows you to use that IP. Same with bandwidth changes, for instance. To do what you are suggesting, you would likely have to break into the servers at the ISP and change what it has set up for your modem. Could they simply be using static arps? ACLs? Other simple mechanisms? Every ISP is different, both in practice and how close they are with the larger network that is providing service to them. Depending on those factors, they could be using a combination of ACL and static ARP. It also depends on the technology in the cable network itself. The ISP I worked for used some form of ACL, but that knowledge was a little beyond my paygrade. I only got to work with the technician’s interface and do routine maintenance and service changes. What keeps me from changing this IP address to, let’s say, 60.61.62.75 and mess with another consumer’s internet access? Given the above, what keeps you from changing your IP to one that your ISP hasn’t specifically given to you is a server that is instructing your modem what it can and can’t do. Even if you somehow broke into the modem, if 60.61.62.75 is already allocated to another customer, then the server will simply tell your modem that it can’t have it. David Schwartz offers some additional insight with a link to a white paper for the really curious: Most modern ISPs (last 13 years or so) will not accept traffic from a customer connection with a source IP address they would not route to that customer were it the destination IP address. This is called “reverse path forwarding”. See BCP 38. Have something to add to the explanation? Sound off in the the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.     

    Read the article

  • (CRON) info (No MTA installed, discarding output)

    - by Pooky
    I have a fresh install of Ubuntu 12.04.1 LTS an a number of servers. I have not added any cron jobs or edited my crontab on those servers, however, at around the same time for each machine, I get a 75% CPU spike and the following info in my syslog at the time of the spike: CRON[8380]: (CRON) info (No MTA installed, discarding output) I have mono-complete installed and am running a service stack webserver. What is the best way for me to stop this from happening? I would like to be able to remove the CPU spike. Thanks

    Read the article

  • Part 1 - Load Testing In The Cloud

    - by Tarun Arora
    Azure is fascinating, but even more fascinating is the marriage of Azure and TFS! Introduction Recently a client I worked for had 2 major business critical applications being delivered, with very little time budgeted for Performance testing, we immediately hit a bottleneck when the performance testing phase started, the in house infrastructure team could not support the hardware requirements in the short notice. It was suggested that the performance testing be performed on one of the QA environments which was a fraction of the production environment. This didn’t seem right, the team decided to turn to the cloud. The team took advantage of the elasticity offered by Azure, starting with a single test agent which was provisioned and ready for use with in 30 minutes the team scaled up to 17 test agents to perform a very comprehensive performance testing cycle. Issues were identified and resolved but the highlight was that the cost of running the ‘test rig’ proved to be less than if hosted on premise by the infrastructure team. Thank you for taking the time out to read this blog post, in the series of posts, I’ll try and cover the start to end of everything you need to know to use Azure to build your Test Rig in the cloud. But Why Azure? I have my own Data Centre… If the environment is provisioned in your own datacentre, - No matter what level of service agreement you may have with your infrastructure team there will be down time when the environment is patched - How fast can you scale up or down the environments (keeping the enterprise processes in mind) Administration, Cost, Flexibility and Scalability are the areas you would want to think around when taking the decision between your own Data Centre and Azure! How is Microsoft's Public Cloud Offering different from Amazon’s Public Cloud Offering? Microsoft's offering of the Cloud is a hybrid of Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) which distinguishes Microsoft's offering from other providers such as Amazon (Amazon only offers IaaS). PaaS – Platform as a Service IaaS – Infrastructure as a Service Fills the needs of those who want to build and run custom applications as services. Similar to traditional hosting, where a business will use the hosted environment as a logical extension of the on-premises datacentre. A service provider offers a pre-configured, virtualized application server environment to which applications can be deployed by the development staff. Since the service providers manage the hardware (patching, upgrades and so forth), as well as application server uptime, the involvement of IT pros is minimized. On-demand scalability combined with hardware and application server management relieves developers from infrastructure concerns and allows them to focus on building applications. The servers (physical and virtual) are rented on an as-needed basis, and the IT professionals who manage the infrastructure have full control of the software configuration. This kind of flexibility increases the complexity of the IT environment, as customer IT professionals need to maintain the servers as though they are on-premises. The maintenance activities may include patching and upgrades of the OS and the application server, load balancing, failover clustering of database servers, backup and restoration, and any other activities that mitigate the risks of hardware and software failures.   The biggest advantage with PaaS is that you do not have to worry about maintaining the environment, you can focus all your time in solving the business problems with your solution rather than worrying about maintaining the environment. If you decide to use a VM Role on Azure, you are asking for IaaS, more on this later. A nice blog post here on the difference between Saas, PaaS and IaaS. Now that we are convinced why we should be turning to the cloud and why in specific Azure, let’s discuss about the Test Rig. The Load Test Rig – Topology Now the moment of truth, Of course a big part of getting value from cloud computing is identifying the most adequate workloads to take to the cloud, so I’ve decided to try to make a Load Testing rig where the Agents are running on Windows Azure.   I’ll talk you through the above Topology, - User: User kick starts the load test run from the developer workstation on premise. This passes the request to the Test Controller. - Test Controller: The Test Controller is on premise connected to the same domain as the developer workstation. As soon as the Test Controller receives the request it makes use of the Windows Azure Connect service to orchestrate the test responsibilities to all the Test Agents. The Windows Azure Connect endpoint software must be active on all Azure instances and on the Controller machine as well. This allows IP connectivity between them and, given that the firewall is properly configured, allows the Controller to send work loads to the agents. In parallel, the Controller will collect the performance data from the agents, using the traditional WMI mechanisms. - Test Agents: The Test Agents are on the Windows Azure Public Cloud, as soon as the test controller issues instructions to the test agents, the test agents start executing the load tests. The HTTP requests are issued against the web server on premise, the results are captured by the test agents. And finally the results are passed over to the controller. - Servers: The Web Server and DB Server are hosted on premise in the datacentre, this is usually the case with business critical applications, you probably want to manage them your self. Recap and What’s next? So, in the introduction in the series of blog posts on Load Testing in the cloud I highlighted why creating a test rig in the cloud is a good idea, what advantages does Windows Azure offer and the Test Rig topology that I will be using. I would also like to mention that i stumbled upon this [Video] on Azure in a nutshell, great watch if you are new to Windows Azure. In the next post I intend to start setting up the Load Test Environment and discuss pricing with respect to test agent machine types that will be used in the test rig. Hope you enjoyed this post, If you have any recommendations on things that I should consider or any questions or feedback, feel free to add to this blog post. Remember to subscribe to http://feeds.feedburner.com/TarunArora.  See you in Part II.   Share this post : CodeProject

    Read the article

  • Distributed Transaction Framework across webservices

    - by John Petrak
    I am designing a new system that has one central web service and several site web services which are spread across the country and some overseas. It has some data that must be identical on all sites. So my plan is to maintain that data in the central web service and then "sync" the data to sites. This includes inserts, edits and deletes. I see a problem when deleting, if one site has used the record, then I need to undo the delete that has happened on the other servers. This lead me to idea that I need some sort of transaction system that can work across different web servers. Before I design one from scratch, I would like to know if anyone has come across this sort of problem and if there are any frame works or even design patterns that might aid me?

    Read the article

  • Starting java processes with Upstart

    - by user265330
    I want to start a java process using Upstart. Currently, on our OpenSuSE servers, I use the System V init system to achieve this, but on our Ubuntu servers I'd rather use Upstart. But I have two questions... I have an Upstart job (a task) that configures the server, called, say, myconfig. And in the job that starts my java processes I ostensibly have: start on stopped myconfig exec /path/to/myjavastartscript.sh myjavastartscript.sh runs 'java -classpath blah MyClass'. In System V init, starting the service runs 'nohup /path/to/myjavastartscript.sh &'. So my first question is whether I still need to do the nohup or run-in-background with the exec command? When running, MyClass starts other Java processes. In System V init, the service stop just looks for java processes owned by a certain user and kills them. My second question is how could I control the termination of these processes with Upstart?

    Read the article

  • Why get dedicated hosting? [closed]

    - by user176105
    Possible Duplicate: How to find web hosting that meets my requirements? I just finished writing a website and I'm about to publish it. I was looking at hosting options and I was about to get regular hosting from godaddy, which is about $6 a month with unlimited bandwidth, 150 gb of data, 500 emails and 25 mysql databases. The other option is dedicated servers, which range a lot in price, but are around $200 a month. Why would someone choose dedicated servers? Is it becuase they max the limits of regular hosting or is it because the ram/cpu is shared on regular hosting? If the latter, what will happen if a lot of users come to my site and max the ram/cpu?

    Read the article

  • What is a generalized form creator that runs on .NET / Windows?

    - by Josh
    At the institution that I'm at, we've been looking for web applications that enable users to create and deploy their own forms. Similar applications are Wufoo, and google forms. Unfortunately, those solutions will not work for us, because we are required to host all data and information on our own servers. I've found a few solutions that are written in PHP, but at this point, it doesn't appear that this is acceptable. I've tried searching for ".net form creator" but unfortunately, when you search for ".net forms" you get a lot of results relating to created asp.net webforms, which is not what we're looking for at all. I've been told that finding a solution that runs on .NET and windows servers with either Oracle or MSSQL databases would be much more acceptable. I've found a few, but they are open source, and the IS Security people are not kind to those solutions, despite my attempts to show otherwise. If anyone knows of some solution out there, I would greatly appreciate you passing on the names of those applications!

    Read the article

  • Implementing the Reactive Manifesto with Azure and AWS

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/31/implementing-the-reactive-manifesto-with-azure-and-aws.aspxMy latest Pluralsight course, Implementing the Reactive Manifesto with Azure and AWS has just been published! I’d planned to do a course on dual-running a messaging-based solution in Azure and AWS for super-high availability and scale, and the Reactive Manifesto encapsulates exactly what I wanted to do. A “reactive” application describes an architecture which is inherently resilient and scalable, being event-driven at the core, and using asynchronous communication between components. In the course, I compare that architecture to a classic n-tier approach, and go on to build out an app which exhibits all the reactive traits: responsive, event-driven, scalable and resilient. I use a suite of technologies which are enablers for all those traits: ASP.NET SignalR for presentation, with server push notifications to the user Messaging in the middle layer for asynchronous communication between presentation and compute Azure Service Bus Queues and Topics AWS Simple Queue Service AWS Simple Notification Service MongoDB at the storage layer for easy HA and scale, with minimal locking under load. Starting with a couple of console apps to demonstrate message sending, I build the solution up over 7 modules, deploying to Azure and AWS and running the app across both clouds concurrently for the whole stack - web servers, messaging infrastructure, message handlers and database servers. I demonstrating failover by killing off bits of infrastructure, and show how a reactive app deployed across two clouds can survive machine failure, data centre failure and even whole cloud failure. The course finishes by configuring auto-scaling in AWS and Azure for the compute and presentation layers, and running a load test with blitz.io. The test pushes masses of load into the app, which is deployed across four data centres in Azure and AWS, and the infrastructure scales up seamlessly to meet the load – the blitz report is pretty impressive: That’s 99.9% success rate for hits to the website, with the potential to serve over 36,000,000 hits per day – all from a few hours’ build time, and a fairly limited set of auto-scale configurations. When the load stops, the infrastructure scales back down again to a minimal set of servers for high availability, so the app doesn’t cost much to host unless it’s getting a lot of traffic. This is my third course for Pluralsight, with Nginx and PHP Fundamentals and Caching in the .NET Stack: Inside-Out released earlier this year. Now that it’s out, I’m starting on the fourth one, which is focused on C#, and should be out by the end of the year.

    Read the article

  • Jquery website is not opening in UBUNTU but in XP, Everything is fine

    - by Raman Sethi
    I know it is weird, But I just discovered this, jquery.com is not opening in my ubuntu firefox or other KDE browser and hence many sites that copy codes from code.jquery.com also hanged. Is there any solution to this problem. I have found the problem It is actually with the DNS servers I am using, Google DNS, 8.8.8.8 and 8.8.4.4, whenever I use these DNS in ubuntu my system stop responding to some sites, actually they are connected nicely, but the request end up in waiting.. I dont understand why...??? I checked my DNS with cat /etc/resolv.conf Even after using Google DNS, it is showing DNS servers I received automatically after connecting to the service provider. I am connecting using Network Manager, not using DNS I provided but using the default one. Any Solution??

    Read the article

< Previous Page | 72 73 74 75 76 77 78 79 80 81 82 83  | Next Page >