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  • Best Ruby Git library?

    - by Jeff Welling
    Which is the best Git library in Ruby to use? Git, Grit, Rugged, Other? Background: I'm the current maintainer of TicGit-ng which is a distributed offline ticket system built on git, and I've read and heard over and over again that Grit is the one I should use because it supersedes the Git gem, but there seems to be either a lack of documentation or a lack of features because myself and others have failed in trying to switch from the deprecated-but-functional Git to the newer Grit gem.

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  • Obfuscating Silverlight with SmartAssembly

    If you are in the .NET Software business, you have a problem. .NET assemblies can be read, and debugged, by the purchaser with almost the same ease as if you'd distributed the source code. This isn't always what you wanted or intended, so you'll need an application such as Smart Assembly. Khawar explains the simple process of protecting your company's assets.

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  • Zenoss Setup for Windows Servers

    - by Jay Fox
    Recently I was saddled with standing up Zenoss for our enterprise.  We're running about 1200 servers, so manually touching each box was not an option.  We use LANDesk for a lot of automated installs and patching - more about that later.The steps below may not necessarily have to be completed in this order - it's just the way I did it.STEP ONE:Setup a standard AD user.  We want to do this so there's minimal security exposure.  Call the account what ever you want "domain/zenoss" for our examples.***********************************************************STEP TWO:Make the following local groups accessible by your zenoss account.Distributed COM UsersPerformance Monitor UsersEvent Log Readers (which doesn't exist on pre-2008 machines)Here's the Powershell script I used to setup access to these local groups:# Created to add Active Directory account to local groups# Must be run from elevated prompt, with permissions on the remote machine(s).# Create txt file should contain the names of the machines that need the account added, one per line.# Script will process machines line by line.foreach($i in (gc c:\tmp\computers.txt)){# Add the user to the first group$objUser=[ADSI]("WinNT://domain/zenoss")$objGroup=[ADSI]("WinNT://$i/Distributed COM Users")$objGroup.PSBase.Invoke("Add",$objUser.PSBase.Path)# Add the user to the second group$objUser=[ADSI]("WinNT://domain/zenoss")$objGroup=[ADSI]("WinNT://$i/Performance Monitor Users")$objGroup.PSBase.Invoke("Add",$objUser.PSBase.Path)# Add the user to the third group - Group doesn't exist on < Server 2008#$objUser=[ADSI]("WinNT://domain/zenoss")#$objGroup=[ADSI]("WinNT://$i/Event Log Readers")#$objGroup.PSBase.Invoke("Add",$objUser.PSBase.Path)}**********************************************************STEP THREE:Setup security on the machines namespace so our domain/zenoss account can access itThe default namespace for zenoss is:  root/cimv2Here's the Powershell script:#Grant account defined below (line 11) access to WMI Namespace#Has to be run as account with permissions on remote machinefunction get-sid{Param ($DSIdentity)$ID = new-object System.Security.Principal.NTAccount($DSIdentity)return $ID.Translate( [System.Security.Principal.SecurityIdentifier] ).toString()}$sid = get-sid "domain\zenoss"$SDDL = "A;;CCWP;;;$sid" $DCOMSDDL = "A;;CCDCRP;;;$sid"$computers = Get-Content "c:\tmp\computers.txt"foreach ($strcomputer in $computers){    $Reg = [WMIClass]"\\$strcomputer\root\default:StdRegProv"    $DCOM = $Reg.GetBinaryValue(2147483650,"software\microsoft\ole","MachineLaunchRestriction").uValue    $security = Get-WmiObject -ComputerName $strcomputer -Namespace root/cimv2 -Class __SystemSecurity    $converter = new-object system.management.ManagementClass Win32_SecurityDescriptorHelper    $binarySD = @($null)    $result = $security.PsBase.InvokeMethod("GetSD",$binarySD)    $outsddl = $converter.BinarySDToSDDL($binarySD[0])    $outDCOMSDDL = $converter.BinarySDToSDDL($DCOM)    $newSDDL = $outsddl.SDDL += "(" + $SDDL + ")"    $newDCOMSDDL = $outDCOMSDDL.SDDL += "(" + $DCOMSDDL + ")"    $WMIbinarySD = $converter.SDDLToBinarySD($newSDDL)    $WMIconvertedPermissions = ,$WMIbinarySD.BinarySD    $DCOMbinarySD = $converter.SDDLToBinarySD($newDCOMSDDL)    $DCOMconvertedPermissions = ,$DCOMbinarySD.BinarySD    $result = $security.PsBase.InvokeMethod("SetSD",$WMIconvertedPermissions)     $result = $Reg.SetBinaryValue(2147483650,"software\microsoft\ole","MachineLaunchRestriction", $DCOMbinarySD.binarySD)}***********************************************************STEP FOUR:Get the SID for our zenoss account.Powershell#Provide AD User get SID$objUser = New-Object System.Security.Principal.NTAccount("domain", "zenoss") $strSID = $objUser.Translate([System.Security.Principal.SecurityIdentifier]) $strSID.Value******************************************************************STEP FIVE:Modify the Service Control Manager to allow access to the zenoss AD account.This command can be run from an elevated command line, or through Powershellsc sdset scmanager "D:(A;;CC;;;AU)(A;;CCLCRPRC;;;IU)(A;;CCLCRPRC;;;SU)(A;;CCLCRPWPRC;;;SY)(A;;KA;;;BA)(A;;CCLCRPRC;;;PUT_YOUR_SID_HERE_FROM STEP_FOUR)S:(AU;FA;KA;;;WD)(AU;OIIOFA;GA;;;WD)"******************************************************************In step two the script plows through a txt file that processes each computer listed on each line.  For the other scripts I ran them on each machine using LANDesk.  You can probably edit those scripts to process a text file as well.That's what got me off the ground monitoring the machines using Zenoss.  Hopefully this is helpful for you.  Watch the line breaks when copy the scripts.

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  • Understanding WCF Hosting

     WCF is a flagship product from  Microsoft for developing distributed application using SOA. Prior to WCF   traditional ASMX Web services were hosted only on Internet Information Services (IIS). The hosting options for WCF services are significantly enhanced from ... [Read Full Article]

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  • Move Data into the Grid for Scalable, Predictable Response Times

    - by JuergenKress
    CloudTran is pleased to introduce the availability of the CloudTran Transaction and Persistence Manager for creating scalable, reliable data services on the Oracle Coherence In-Memory Data Grid (IMDG). Use of IMDG architectures has been key to handling today’s web-scale loads because it eliminates database latency by storing important and frequently access data in memory instead of on disk. The CloudTran product lets developers easily use an IMDG for full ACID-compliant transactions without having to be concerned about the location or spread of data. The system has its own implementation of fast, scalable distributed transactions that does NOT depend on XA protocols but still guarantees all ACID properties. Plus, CloudTran asynchronously replicates data going into the IMDG to back-end datastores and back-up data centers, again ensuring ACID properties. CloudTran can be accessed through Java Persistence API (JPA via TopLink Grid) and now, through a new Low-Level API, or LLAPI. This is ideal for use in SOA applications that need data reliability, high availability, performance, and scalability. Still in limited beta release, the LLAPI gives developers the ability to use standard put/remove logic available in Coherence and then wrap logic with simple Spring annotations or XML+AspectJ to start transactions. An important feature of LLAPI is the ability to join transactions. This is a common outcome for SOA applications that need to reduce network traffic by aggregating data into single cache entries and then doing SOA service processing in the node holding the data. This results in the need to orchestrate transaction processing across multiple service calls. CloudTran has the capability to handle these “multi-client” transactions at speed with no loss in ACID properties. Developing software around an IMDG like Oracle Coherence is an important choice for today’s web-scale applications and services. But this introduces new architectural considerations to maintain scalability in light of increased network loads and data movement. Without using CloudTran, developers are faced with an incredibly difficult task to ensure data reliability, availability, performance, and scalability when working with an IMDG. Working with highly distributed data that is entirely volatile while stored in memory presents numerous edge cases where failures can result in data loss. The CloudTran product takes care of all of this, leaving developers with the confidence and peace of mind that all data is processed correctly. For those interested in evaluating the CloudTran product and IMDGs, take a look at this link for more information: http://www.CloudTran.com/downloadAPI.php, or, send your questions to [email protected]. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. BlogTwitterLinkedInMixForumWiki Technorati Tags: Coherence,cloudtran,cache,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • CodePlex now Supports Git

    - by The Official Microsoft IIS Site
    Great news for our CodePlex community: CodePlex now supports Git! Git has been one of the top rated requests from the CodePlex community for some time, and giving CodePlex users what they ask for and supporting their open source efforts has always been important to us. And the goodness continues, as the CodePlex team has a long list of improvements planned. So, why Git? CodePlex already has Mercurial for distributed version control and TFS (which also supports subversion clients) for centralized...(read more)

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  • Latest Fusion DOO White Paper - Overcoming Order Management Complexity in Global Organizations

    - by Pam Petropoulos
    Check out this latest Fusion Distributed Order Orchestration white paper entitled “Overcoming Order Management Complexity in Global Organizations”.  Discover how Oracle Fusion DOO enables large, complex organizations to streamline their order management processes and take advantage of lower costs, higher margins, and improved customer service. Click here to read the whitepaper.

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  • Implementing a Custom Coherence PartitionAssignmentStrategy

    - by jpurdy
    A recent A-Team engagement required the development of a custom PartitionAssignmentStrategy (PAS). By way of background, a PAS is an implementation of a Java interface that controls how a Coherence partitioned cache service assigns partitions (primary and backup copies) across the available set of storage-enabled members. While seemingly straightforward, this is actually a very difficult problem to solve. Traditionally, Coherence used a distributed algorithm spread across the cache servers (and as of Coherence 3.7, this is still the default implementation). With the introduction of the PAS interface, the model of operation was changed so that the logic would run solely in the cache service senior member. Obviously, this makes the development of a custom PAS vastly less complex, and in practice does not introduce a significant single point of failure/bottleneck. Note that Coherence ships with a default PAS implementation but it is not used by default. Further, custom PAS implementations are uncommon (this engagement was the first custom implementation that we know of). The particular implementation mentioned above also faced challenges related to managing multiple backup copies but that won't be discussed here. There were a few challenges that arose during design and implementation: Naive algorithms had an unreasonable upper bound of computational cost. There was significant complexity associated with configurations where the member count varied significantly between physical machines. Most of the complexity of a PAS is related to rebalancing, not initial assignment (which is usually fairly simple). A custom PAS may need to solve several problems simultaneously, such as: Ensuring that each member has a similar number of primary and backup partitions (e.g. each member has the same number of primary and backup partitions) Ensuring that each member carries similar responsibility (e.g. the most heavily loaded member has no more than one partition more than the least loaded). Ensuring that each partition is on the same member as a corresponding local resource (e.g. for applications that use partitioning across message queues, to ensure that each partition is collocated with its corresponding message queue). Ensuring that a given member holds no more than a given number of partitions (e.g. no member has more than 10 partitions) Ensuring that backups are placed far enough away from the primaries (e.g. on a different physical machine or a different blade enclosure) Achieving the above goals while ensuring that partition movement is minimized. These objectives can be even more complicated when the topology of the cluster is irregular. For example, if multiple cluster members may exist on each physical machine, then clearly the possibility exists that at certain points (e.g. following a member failure), the number of members on each machine may vary, in certain cases significantly so. Consider the case where there are three physical machines, with 3, 3 and 9 members each (respectively). This introduces complexity since the backups for the 9 members on the the largest machine must be spread across the other 6 members (to ensure placement on different physical machines), preventing an even distribution. For any given problem like this, there are usually reasonable compromises available, but the key point is that objectives may conflict under extreme (but not at all unlikely) circumstances. The most obvious general purpose partition assignment algorithm (possibly the only general purpose one) is to define a scoring function for a given mapping of partitions to members, and then apply that function to each possible permutation, selecting the most optimal permutation. This would result in N! (factorial) evaluations of the scoring function. This is clearly impractical for all but the smallest values of N (e.g. a partition count in the single digits). It's difficult to prove that more efficient general purpose algorithms don't exist, but the key take away from this is that algorithms will tend to either have exorbitant worst case performance or may fail to find optimal solutions (or both) -- it is very important to be able to show that worst case performance is acceptable. This quickly leads to the conclusion that the problem must be further constrained, perhaps by limiting functionality or by using domain-specific optimizations. Unfortunately, it can be very difficult to design these more focused algorithms. In the specific case mentioned, we constrained the solution space to very small clusters (in terms of machine count) with small partition counts and supported exactly two backup copies, and accepted the fact that partition movement could potentially be significant (preferring to solve that issue through brute force). We then used the out-of-the-box PAS implementation as a fallback, delegating to it for configurations that were not supported by our algorithm. Our experience was that the PAS interface is quite usable, but there are intrinsic challenges to designing PAS implementations that should be very carefully evaluated before committing to that approach.

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  • An Introduction to PowerShell Modules

    For PowerShell to provide specialised scripting, especially for administering server technologies, it can have the range of Cmdlets available to it extended by means of Snapins. With version 2 there is an easier and better method of extending PowerShell: the Module. These can be distributed with the application to be administered, and a wide range of Cmdlets are now available to the PowerShell user. Powershell has suddenly grown up.

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  • MathWorks offre une nouvelle fonctionnalité de calculs parallèles pour une simulation plus rapide et une génération de code améliorée

    MathWorks propose une nouvelle fonctionnalité de calculs parallèles Pour une simulation plus rapide et une génération de code améliorée grâce à Parallel Computing Toolbox MathWorks a annoncé aujourd'hui une nouvelle fonctionnalité qui permet d'accélérer la génération de code de système utilisant le référencement de modèles. Cette amélioration est rendue possible par Real-Time Workshop, un outil de génération de code qui tire désormais parti des outils d'amélioration de performance de la Parallel Computing Toolbox et du MATLAB Distributed Computing Server (MDCS). Cette fonction élargit également la prise en charge des calculs parallèles dans d'autres outils MathWorks pour améliorer...

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  • Developing a Support Plan for Cloud Applications

    - by BuckWoody
    Last week I blogged about developing a High-Availability plan. The specifics of a given plan aren't as simple as "Step 1, then Step 2" because in a hybrid environment (which most of us have) the situation changes the requirements. There are those that look for simple "template" solutions, but unless you settle on a single vendor and a single way of doing things, that's not really viable. The same holds true for support. As I've mentioned before, I'm not fond of the term "cloud", and would rather use the tem "Distributed Computing". That being said, more people understand the former, so I'll just use that for now. What I mean by Distributed Computing is leveraging another system or setup to perform all or some of a computing function. If this definition holds true, then you're essentially creating a partnership with a vendor to run some of your IT - whether that be IaaS, PaaS or SaaS, or more often, a mix. In your on-premises systems, you're the first and sometimes only line of support. That changes when you bring in a Cloud vendor. For Windows Azure, we have plans for support that you can pay for if you like. http://www.windowsazure.com/en-us/support/plans/ You're not off the hook entirely, however. You still need to create a plan to support your users in their applications, especially for the parts you control. The last thing they want to hear is "That's vendor X's problem - you'll have to call them." I find that this is often the last thing the architects think about in a solution. It's fine to put off the support question prior to deployment, but I would hold off on calling it "production" until you have that plan in place. There are lots of examples, like this one: http://www.va-interactive.com/inbusiness/editorial/sales/ibt/customer.html some of which are technology-specific. Once again, this is an "it depends" kind of approach. While it would be nice if there was just something in a box we could buy, it just doesn't work that way in a hybrid system. You have to know your options and apply them appropriately.

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  • Developing a Support Plan for Cloud Applications

    - by BuckWoody
    Last week I blogged about developing a High-Availability plan. The specifics of a given plan aren't as simple as "Step 1, then Step 2" because in a hybrid environment (which most of us have) the situation changes the requirements. There are those that look for simple "template" solutions, but unless you settle on a single vendor and a single way of doing things, that's not really viable. The same holds true for support. As I've mentioned before, I'm not fond of the term "cloud", and would rather use the tem "Distributed Computing". That being said, more people understand the former, so I'll just use that for now. What I mean by Distributed Computing is leveraging another system or setup to perform all or some of a computing function. If this definition holds true, then you're essentially creating a partnership with a vendor to run some of your IT - whether that be IaaS, PaaS or SaaS, or more often, a mix. In your on-premises systems, you're the first and sometimes only line of support. That changes when you bring in a Cloud vendor. For Windows Azure, we have plans for support that you can pay for if you like. http://www.windowsazure.com/en-us/support/plans/ You're not off the hook entirely, however. You still need to create a plan to support your users in their applications, especially for the parts you control. The last thing they want to hear is "That's vendor X's problem - you'll have to call them." I find that this is often the last thing the architects think about in a solution. It's fine to put off the support question prior to deployment, but I would hold off on calling it "production" until you have that plan in place. There are lots of examples, like this one: http://www.va-interactive.com/inbusiness/editorial/sales/ibt/customer.html some of which are technology-specific. Once again, this is an "it depends" kind of approach. While it would be nice if there was just something in a box we could buy, it just doesn't work that way in a hybrid system. You have to know your options and apply them appropriately.

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  • Apps Script Office Hours - October 25, 2012

    Apps Script Office Hours - October 25, 2012 - Arun announces an election sample app - soon! Look for the blog post on googleappsdeveloper.blogspot.com - LAX hackathon googleappsdeveloper.blogspot.com - Bill (Google Hangout) asks about ScriptDb. Ikai makes a long analogy about libraries and datastores and offers possible explanations for why certain issues occur, as well as some of the difficulties in working with distributed datastores. From: GoogleDevelopers Views: 48 6 ratings Time: 29:34 More in Science & Technology

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  • Are there any good Java/JVM libraries for my Expression Tree architecture?

    - by Snuggy
    My team and I are developing an enterprise-level application and I have devised an architecture for it that's best described as an "Expression Tree". The basic idea is that the leaf nodes of the tree are very simple expressions (perhaps simple values or strings). Nodes closer to the trunk will get more and more complex, taking the simpler nodes as their inputs and returning more complex results for their parents. Looking at it the other way, the application performs some task, and for this it creates a root expression. The root expression divides its input into smaller units and creates child expressions, which when evaluated it can use to build it's own result. The subdividing process continues until the simplest leaf nodes. There are two very important aspects of this architecture: It must be possible to manipulate nodes of the tree after it is built. The nodes may be given new input values to work with and any change in result for that node needs to be propagated back up the tree to the root node. The application must make best use of available processors and ultimately be scalable to other computers in a grid or in the cloud. Nodes in the tree will often be updating concurrently and notifying other interested nodes in the tree when they get a new value. Unfortunately, I'm not at liberty to discuss my actual application, but to aid understanding a little bit, you might imagine a kind of spreadsheet application being implemented with a similar architecture, where changes to cells in the table are propagated all over the place to other cells that need the result. The spreadsheet could get so massive that applying multi-core multi-computer distributed system to solve it would be of benefit. I've got my prototype "Expression Engine" working nicely on a single multi-core PC but I've started to run into a few concurrency issues (as expected because I haven't been taking too much care so far) so it's now time to start thinking about migrating the Engine to a more robust library, and that leads to a number of related questions: Is there any precedent for my "Expression Tree" architecture that I could research? What programming concepts should I consider. I realise this approach has many similarities to a functional programming style, and I'm already aware of the concepts of using futures and actors. Are there any others? Are there any languages or libraries that I should study? This question is inspired by my accidental discovery of Scala and the Akka library (which has good support for Actors, Futures, Distributed workloads etc.) and I'm wondering if there is anything else I should be looking at as well?

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  • git commit –m “CodePlex now supports Git!”

    Finally, yes, CodePlex now supports Git! Git has been one of the top rated requests from the CodePlex community for some time: Admittedly, when we launched CodePlex, we never expected that at some point we would be running a source control system originally invented by Linus Torvalds to use for the Linux kernel. Though I would also say, nobody would have thought the open source ecosystem would be as important to Microsoft as it has become now. Giving CodePlex users what they ask for and supporting their open source efforts has always been important to us, and we have a long list of improvements planned, so stay tuned as we have more up our sleeves! Why Git? So why Git? CodePlex already has Mercurial for distributed version control and TFS (which also supports subversion clients) for centralized version control. The short answer is that the CodePlex community voted, loud and clear, that Git support was critical. Additionally, we just like it, we use Git on our team every day and making the DVCS workflows more available to the CodePlex community is just the right thing to do. Forks and Pull Requests One of the capabilities that distributed version control systems, such as Mercurial and Git, enable is the Fork and Pull Request workflow.  Just like with Mercurial, projects configured to use Git enable Forking the source and submitting contributions back via Pull Requests. The Fork/Pull Request workflow is a key accelerator to many open source projects and you will see improvements in our support coming later this year. More Choice With the addition of Git, now CodePlex has three options when it comes to Open Source project hosting. Projects can now select between TFS, Mercurial, and Git. Each developer has their own preferences, and for some, centralized version control makes more sense to them. For others, DVCS is the only way to go. We’re equally committed to supporting both these technologies for our users. You can get started today by creating a new project or contribute to an existing project by creating a fork. For help on getting started with Git on CodePlex, see our help documentation here. If you would like to switch your project to use Git, please contact us at CodePlex Support with your project information, and we will be happy to help you out. We're Listening CodePlex is your community, and we want to deliver the experiences you need to have a successful open source project. We want your ideas and feedback to make CodePlex a great development community.  The issue tracker on CodePlex is publicly available. Add suggestions or vote up existing suggestions. And you can always find us on Twitter, I’m @mgroves84; follow us to keep up to date with our latest releases: @codeplex

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  • Welcome Xsigo Partners

    - by Cinzia Mascanzoni
    Oracle recently achieved LEC for Xsigo Systems, Inc. and the migration of legacy partners is underway. Welcome Kits were distributed to partners providing details on how to join Oracle PartnerNetwork and next steps to jump start their business with Oracle. To find out more about the transition of Xsigo Partners, view the recently updated FAQ here.

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  • Free APress e-book on GIT!

    - by TATWORTH
    Originally posted on: http://geekswithblogs.net/TATWORTH/archive/2013/07/24/free-apress-e-book-on-git.aspxA free e-book in PDF, mobi and ePub formats is available at http://git-scm.com/book"Programmers or project leaders will learn to use Git, the version control system developed by Linus Torvalds for Linux kernel development. You'll discover the world of distributed version control and learn how to build a Git development workflow, with expert guidance from Scott Chacon."

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  • ?????QCon Tokyo 2010 ??????????!

    - by rika.tokumichi
    ??????OTN????????? 2010?4?19??20??????????·??????????QCon Tokyo 2010?????????? ??????????????????????????????????????????! ??????????????????????????????????^^ ???????????! >QCon Tokyo 2010 ????? ?????????? ????????????????? -------------------------------------------- ???:?? ?? (???? ????) ?????????????? - ????????CoE - ?????????? BI/SOA????????????? ???:?? ?? (???? ?????) ?????????? - ????????? - ??????????? -------------------------------------------- ??????????????????????????????????QCon Tokyo 2010?????????? QCon????????????????????????????InfoQ???????????????????????????????????????·?????????? ????????????4???????????????????????????????·?????????? InfoQ????????????????????????????????????????????????? ?1??? ??????????????Twitter????Nick Kallen??????????? ??????Data Architecture at Twitter Scale?? ?????????????????????????????????????????????????????????????????120????????????????????????????????????????? ??????????????????????????????????????????????????????????????????Twitter????????????????????????????????????????????????? ?????????????????????????????????????????????????????????????????????????????? ????????Oracle Coherence????????????Patrick Peralta??? ?Connected Clouds: A Platform for Globally Distributed Service? ??????????????? Coherence????????KVS??????????????????????????????????????Oracle Coherence?????????????????????????????????? ??????????????????????????????????????????Coherence?Push Replication Pattern?????????????????????????????????????????????????????????????????????????????????????????? ??????????????????????????? ?????????????????????????????????? ?????? ??????????????????????????2???3??????????? ???????????????????????????????! ??????????????????????????????? ?2??? 2??????????????Facebook?Marc Kwiatkowski?????????? ??????Scaling Memcache at Facebook?? 4??????????Facebook???????memcache??????????????????????????????????????? ?????????memchace????????????????????????????????memcache???????????????????????????????????????????????????????????????????????????? ????????????? Java7???????????????????????????????????? Ruby??????????????????????????????Ruby????????? ??????????????????????????? ???????????????! --------------------------------------- ?????????????????????????!! ???????????! ???????2?????????? ??????????????????????????? >QCon Tokyo 2010 ????? ?????????&??????? ?????????????Patrick Peralta?????????? >?????Connected Clouds: A Platform for Globally Distributed Service?(??) by Patrick Peralta ?Oracle Coherence????? ???? ?????? ???????????? Oracle Coherence?????(??????????) OTN????????????????????????????? ??????????????????? >???????????????????1(?????? ???) >???????????????????2(???????) ???????????????????????????????????????????????????!

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  • curl http_code of 000

    - by Mikkel Paulson
    I have a shell script that I use to monitor loading times and response codes on my live server cluster. It runs a total of 250 iterations every 5 minutes, distributed across 10 servers and 6 sites. It uses curl with the -w flag to return pertinent information which is then parsed by my shell script: curl -svw 'monitor_load_times %{time_total} %{http_code}' -b 'server=$server' -m 15 -o /dev/null $url 2>&1 This information is then parsed by a graphing script that can display a number of different responses. However, curl will occasionally return a response code of "000". When this happens, it seems to happen multiple times at once despite being distributed over many iterations: What I'm trying to work out is if this is a client-side issue that's skewing my results or if it's actually indicative of a server-side problem affecting my entire cluster. Does 000 mean that the connection was dropped? Database entries corresponding to curl iterations with that response code return "0.000" for the time_total value. All of the search results I've found for curl returning a code of 000 are related to HTTPS being unsupported, but all of my test URLs are HTTP. (The spike in 500 errors is a completely unrelated issue that affected my servers last night.)

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  • GlusterFS on VMWare ESXi 5

    - by Dharmavir
    I want to build network file system on top of my VMWare ESXi based virtual nodes which are running Ubuntu 12.04 LTS. I am evalaluating options and found that GlusterFS (http://www.gluster.org/) can turn out to be a good choice. Purpose: I have about 2 dozen VM nodes with different configurations, on 2 physical nodes which has following configuration: 16 core Intel Xeon 1 TB 48 GB RAM Now as I said earlier each Physical server has about 1TB hdd and I can increase if I want additional so for now I have 2TB disk space available, these space is distributed in VM nodes I have created on which about 2 dozen VM nodes live. Now some of them being application server and mgmt server, they have plenty of free disk space which I want to utilize for some heavy storage which I can not design if I do that individually on single VM node. This way if my storage is distributed between dozens of VM nodes and about 2 or more physical nodes I have some sort of backup as well. I do not mind if data gets stored redundently but per my knowledge it might hapeen that individual VM nodes will not be able to store all of the data because complete data size for example if we take 100GB will exceed VM disk size of 70GB and then VM will also have system and program files on it. I need some suggestion that will GlusterFS be the solution for which I am looking forward to or I should go with something like hadoop? I am not too sure. But yes, I would like to utilize my free space on each VM node and while doing that if I get store data redundently I am okay because it will give me data security.

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