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  • Run Windows application as a service?

    - by sh-beta
    What is the cleanest, most reliable way to run a Windows application as a service without touching its code? Use case: NorthScale's 64-bit Windows version of memcached runs as a generic application. I'd like to stick it into a Windows 2003 or 2008 Service so I can start/stop/restart/etc it through the standard interface.

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  • PHP: optimum configuration storage ?

    - by Jerome WAGNER
    Hello, My application gets configured via a lot of key/values (let's say 30.000 for instance) I want to find the best deployment method for these configurations, knowing that I want to avoid DEFINEs to allow for runtime re-configuration. I have thought of - pre-compiling them into an array via a php file - pre-compiling them into a tmpfs sqlite database - pre-compiling them into a memcached db what are my options for the best random access time to these configuration (memory is not an issue) ? Thanks Jerome

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  • Practical approach to concurrency control

    - by Industrial
    Hi everyone, I'd read this article recently and are very interested on how to make a practical approach to Concurrency control on a web server. The server will run CentOS + PHP + mySQL with Memcached. How would you set it up to work? http://saasinterrupted.com/2010/02/05/high-availability-principle-concurrency-control/ Thanks!

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  • Oracle Coherence w/ ASP.NET application

    - by frankadelic
    Is it possible to use Oracle Coherence to provide distributed caching to an ASP.NET application? We would like to use Coherence to scale out an ASP.NET application which does not have distributed caching. Alternatives would be memcached, etc. However, we are considering Coherence since we already have licensing/expertise in that area.

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  • What's a good 2nd level cache for JEE applications?

    - by Hank
    Can anyone recommend a good 2nd level object caching solution for JEE 6 applications, and give background to your recommendation? I'm using JPA 2.0 as persistence provider. I am particularly worried about having to run the cache client as a single-thread / singleton bean. Is that the case? If so, is that an issue? I've good experience using memcached from a PHP webapp, but PHP is of course single-threaded, so that was never an issue...

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  • Choosing a distributed shared memory solution

    - by mindas
    I have a task to build a prototype for a massively scalable distributed shared memory (DSM) app. The prototype would only serve as a proof-of-concept, but I want to spend my time most effectively by picking the components which would be used in the real solution later on. The aim of this solution is to take data input from an external source, churn it and make the result available for a number of frontends. Those "frontends" would just take the data from the cache and serve it without extra processing. The amount of frontend hits on this data can literally be millions per second. The data itself is very volatile; it can (and does) change quite rapidly. However the frontends should see "old" data until the newest has been processed and cached. The processing and writing is done by a single (redundant) node while other nodes only read the data. In other words: no read-through behaviour. I was looking into solutions like memcached however this particular one doesn't fulfil all our requirements which are listed below: The solution must at least have Java client API which is reasonably well maintained as the rest of app is written in Java and we are seasoned Java developers; The solution must be totally elastic: it should be possible to add new nodes without restarting other nodes in the cluster; The solution must be able to handle failover. Yes, I realize this means some overhead, but the overall served data size isn't big (1G max) so this shouldn't be a problem. By "failover" I mean seamless execution without hardcoding/changing server IP address(es) like in memcached clients when a node goes down; Ideally it should be possible to specify the degree of data overlapping (e.g. how many copies of the same data should be stored in the DSM cluster); There is no need to permanently store all the data but there might be a need of post-processing of some of the data (e.g. serialization to the DB). Price. Obviously we prefer free/open source but we're happy to pay a reasonable amount if a solution is worth it. In any way, paid 24hr/day support contract is a must. The whole thing has to be hosted in our data centers so SaaS offerings like Amazon SimpleDB are out of scope. We would only consider this if no other options would be available. Ideally the solution would be strictly consistent (as in CAP); however, eventual consistence can be considered as an option. Thanks in advance for any ideas.

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  • Separating admin and frontend sessions in magento

    - by Hugues ALARY
    Hello, Is it possible to have two different memcached server to separate admin sessions of the frontend sessions in magento ? It is actually possible to separate sessions and file cache, but it applies on both admin and frontend, which dissallow to clear, for example, only admin sessions. If you want to clear admin sessions, you have to clear all sessions : admin and frontend. Thanks, Hugues.

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  • what should I take into consideration when choosing a session implementation?

    - by Satoru.Logic
    Hi, all. Yesterday, my supervisor told me that tmp-file-based session should be THE answer to session implementation, and I should abandon any idea of making sessions persistent. He argues that file-based session is much faster and eaiser to use than other choices like db-based or memcached-based implementations. What he said was really a shock to my past learning experience, so please tell me whether he was wrong and why? Thanks in advance.

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  • has anyone produced an in-memory GIT repository?

    - by Andrew Matthews
    I would like to be able to take advantage of the benefits of GIT (and its workflows), but without the cost of disk access - I just would like to leverage the distributed revision control capabilities of GIT to produce something like a hybrid of memcached and GIT. (preferably in .NET) Is there such a beast out there?

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  • What to have in mind when building a AJAX-based webapp

    - by Industrial
    Hi everyone, We're in the first steps of what will be a AJAX-based webapp where information and generated HTML will be sent backwards and forwards with the help of JSON/POST techniques. We're able to get the data out quickly without putting to much load on the database with the help of a cache-layer that features memcached as well as disc-based cache. Besides that - what's essential to have in mind when designing AJAX heavy webapps? Thanks a lot,

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  • PHP : apc_store doesn't work as intended

    - by Industrial
    Hi everyone, I have started to try APC to store some specific data on each webserver as an complement to memcached. However, the following code piece is giving me headaches: echo apc_store('key', 'value'); echo apc_store('key', 'newvalue'); echo apc_fetch('key'); Result: value Why is apc_store not working as properly?

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  • Does this prove a network bandwidth bottleneck?

    - by Yuji Tomita
    I've incorrectly assumed that my internal AB testing means my server can handle 1k concurrency @3k hits per second. My theory at at the moment is that the network is the bottleneck. The server can't send enough data fast enough. External testing from blitz.io at 1k concurrency shows my hits/s capping off at 180, with pages taking longer and longer to respond as the server is only able to return 180 per second. I've served a blank file from nginx and benched it: it scales 1:1 with concurrency. Now to rule out IO / memcached bottlenecks (nginx normally pulls from memcached), I serve up a static version of the cached page from the filesystem. The results are very similar to my original test; I'm capped at around 180 RPS. Splitting the HTML page in half gives me double the RPS, so it's definitely limited by the size of the page. If I internally ApacheBench from the local server, I get consistent results of around 4k RPS on both the Full Page and the Half Page, at high transfer rates. Transfer rate: 62586.14 [Kbytes/sec] received If I AB from an external server, I get around 180RPS - same as the blitz.io results. How do I know it's not intentional throttling? If I benchmark from multiple external servers, all results become poor which leads me to believe the problem is in MY servers outbound traffic, not a download speed issue with my benchmarking servers / blitz.io. So I'm back to my conclusion that my server can't send data fast enough. Am I right? Are there other ways to interpret this data? Is the solution/optimization to set up multiple servers + load balancing that can each serve 180 hits per second? I'm quite new to server optimization, so I'd appreciate any confirmation interpreting this data. Outbound traffic Here's more information about the outbound bandwidth: The network graph shows a maximum output of 16 Mb/s: 16 megabits per second. Doesn't sound like much at all. Due to a suggestion about throttling, I looked into this and found that linode has a 50mbps cap (which I'm not even close to hitting, apparently). I had it raised to 100mbps. Since linode caps my traffic, and I'm not even hitting it, does this mean that my server should indeed be capable of outputting up to 100mbps but is limited by some other internal bottleneck? I just don't understand how networks at this large of a scale work; can they literally send data as fast as they can read from the HDD? Is the network pipe that big? In conclusion 1: Based on the above, I'm thinking I can definitely raise my 180RPS by adding an nginx load balancer on top of a multi nginx server setup at exactly 180RPS per server behind the LB. 2: If linode has a 50/100mbit limit that I'm not hitting at all, there must be something I can do to hit that limit with my single server setup. If I can read / transmit data fast enough locally, and linode even bothers to have a 50mbit/100mbit cap, there must be an internal bottleneck that's not allowing me to hit those caps that I'm not sure how to detect. Correct? I realize the question is huge and vague now, but I'm not sure how to condense it. Any input is appreciated on any conclusion I've made.

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  • MySQL Cluster 7.3 Labs Release – Foreign Keys Are In!

    - by Mat Keep
    0 0 1 1097 6254 Homework 52 14 7337 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary (aka TL/DR): Support for Foreign Key constraints has been one of the most requested feature enhancements for MySQL Cluster. We are therefore extremely excited to announce that Foreign Keys are part of the first Labs Release of MySQL Cluster 7.3 – available for download, evaluation and feedback now! (Select the mysql-cluster-7.3-labs-June-2012 build) In this blog, I will attempt to discuss the design rationale, implementation, configuration and steps to get started in evaluating the first MySQL Cluster 7.3 Labs Release. Pace of Innovation It was only a couple of months ago that we announced the General Availability (GA) of MySQL Cluster 7.2, delivering 1 billion Queries per Minute, with 70x higher cross-shard JOIN performance, Memcached NoSQL key-value API and cross-data center replication.  This release has been a huge hit, with downloads and deployments quickly reaching record levels. The announcement of the first MySQL Cluster 7.3 Early Access lab release at today's MySQL Innovation Day event demonstrates the continued pace in Cluster development, and provides an opportunity for the community to evaluate and feedback on new features they want to see. What’s the Plan for MySQL Cluster 7.3? Well, Foreign Keys, as you may have gathered by now (!), and this is the focus of this first Labs Release. As with MySQL Cluster 7.2, we plan to publish a series of preview releases for 7.3 that will incrementally add new candidate features for a final GA release (subject to usual safe harbor statement below*), including: - New NoSQL APIs; - Features to automate the configuration and provisioning of multi-node clusters, on premise or in the cloud; - Performance and scalability enhancements; - Taking advantage of features in the latest MySQL 5.x Server GA. Design Rationale MySQL Cluster is designed as a “Not-Only-SQL” database. It combines attributes that enable users to blend the best of both relational and NoSQL technologies into solutions that deliver web scalability with 99.999% availability and real-time performance, including: Concurrent NoSQL and SQL access to the database; Auto-sharding with simple scale-out across commodity hardware; Multi-master replication with failover and recovery both within and across data centers; Shared-nothing architecture with no single point of failure; Online scaling and schema changes; ACID compliance and support for complex queries, across shards. Native support for Foreign Key constraints enables users to extend the benefits of MySQL Cluster into a broader range of use-cases, including: - Packaged applications in areas such as eCommerce and Web Content Management that prescribe databases with Foreign Key support. - In-house developments benefiting from Foreign Key constraints to simplify data models and eliminate the additional application logic needed to maintain data consistency and integrity between tables. Implementation The Foreign Key functionality is implemented directly within MySQL Cluster’s data nodes, allowing any client API accessing the cluster to benefit from them – whether using SQL or one of the NoSQL interfaces (Memcached, C++, Java, JPA or HTTP/REST.) The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL In addition, the MySQL Cluster implementation supports the online adding and dropping of Foreign Keys, ensuring the Cluster continues to serve both read and write requests during the operation. An important difference to note with the Foreign Key implementation in InnoDB is that MySQL Cluster does not support the updating of Primary Keys from within the Data Nodes themselves - instead the UPDATE is emulated with a DELETE followed by an INSERT operation. Therefore an UPDATE operation will return an error if the parent reference is using a Primary Key, unless using CASCADE action, in which case the delete operation will result in the corresponding rows in the child table being deleted. The Engineering team plans to change this behavior in a subsequent preview release. Also note that when using InnoDB "NO ACTION" is identical to "RESTRICT". In the case of MySQL Cluster “NO ACTION” means “deferred check”, i.e. the constraint is checked before commit, allowing user-defined triggers to automatically make changes in order to satisfy the Foreign Key constraints. Configuration There is nothing special you have to do here – Foreign Key constraint checking is enabled by default. If you intend to migrate existing tables from another database or storage engine, for example from InnoDB, there are a couple of best practices to observe: 1. Analyze the structure of the Foreign Key graph and run the ALTER TABLE ENGINE=NDB in the correct sequence to ensure constraints are enforced 2. Alternatively drop the Foreign Key constraints prior to the import process and then recreate when complete. Getting Started Read this blog for a demonstration of using Foreign Keys with MySQL Cluster.  You can download MySQL Cluster 7.3 Labs Release with Foreign Keys today - (select the mysql-cluster-7.3-labs-June-2012 build) If you are new to MySQL Cluster, the Getting Started guide will walk you through installing an evaluation cluster on a singe host (these guides reflect MySQL Cluster 7.2, but apply equally well to 7.3) Post any questions to the MySQL Cluster forum where our Engineering team will attempt to assist you. Post any bugs you find to the MySQL bug tracking system (select MySQL Cluster from the Category drop-down menu) And if you have any feedback, please post them to the Comments section of this blog. Summary MySQL Cluster 7.2 is the GA, production-ready release of MySQL Cluster. This first Labs Release of MySQL Cluster 7.3 gives you the opportunity to preview and evaluate future developments in the MySQL Cluster database, and we are very excited to be able to share that with you. Let us know how you get along with MySQL Cluster 7.3, and other features that you want to see in future releases. * Safe Harbor Statement This information is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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  • Zimbra server status showing red in control panel

    - by Debianuser
    I have been having a weird problem with Zimbra(7.1.4_GA_2555.DEBIAN5) lately: On the (web)control panel the status keep changing to red every few days. When this is happens the output of zmcontrol status still shows running: antispam Running antivirus Running imapproxy Running ldap Running logger Running mailbox Running memcached Running mta Running snmp Running spell Running stats Running zmconfigd Running Every thing runs fine except automated mail forwarding from one account to another(which is critical for us). I have been through Zimbra forums and the following ALWAYS fixes the issue: su - zimbra -c "zmprov mcf zimbraLogHostname mail.mydomain.com" /opt/zimbra/libexec/zmsyslogsetup /etc/init.d/rsyslog restart su - zimbra -c "zmcontrol restart" After I run the above commands, the status on control panel turns green and mail forwarding starts to work again BUT only for a few days. Other than the above, everything works fine including Server statistics. Anyone seen this issue before?

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  • Cheapest server per gigabit throughput [closed]

    - by nethgirb
    I'm looking for a set of servers for performance testing a network, and secondarily testing some applications on the servers. Their most important task is simply to pump out data: from an application like memcached or just dumped from a large file in memory into a TCP flow (i.e., disk performance doesn't matter). This should happen over one or more 1 gigabit Ethernet ports, and the machines should run Linux (ideally), or perhaps Mac OS X or some other *nix. Other than that, there are few constraints (e.g., even something ARM-based could be fine). So here's the question: What's the cheapest server per gigabit? Price and power are both considerations.

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  • Making a Ligthing Flash Magento store with Nginx on AWS Elastic Beanstalk with Minimum Resource Utilization

    - by Junaid
    I'm going to install Magento on AWS Elastic Beanstalk t1.micro (free tier), on Windows or Linux + Nginx + Php-fpm + eAccelerator, CDN (cloudfront), MemcacheD. I will ask my developer to make my website as fast as it can be with as much as possible, minimum AWS utilization. My webstore will have <1000 SKUs and I'm not expecting the traffic without going into thorough SEO/PPC. Now I have three questions: Do I really need Nginx microcaching along with eaccelerator? Do I need AWS Elastic Load Balancer with t1.micro tier for the sake of scalability (as I have heard that magento is resource hungry application, may fully utilize t1.micro AMI) or can I replace AWS ELB with Nginx load balancer? In AWS Elastic Beanstalk?

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  • Simple, manageable DNS on EC2?

    - by dkulchenko
    I'm working on a large network of servers sitting on EC2, and need a way for the servers to know about each other's locations in the cloud. I thought the simplest way would be to use DNS, because if I replace the EC2 instance, I simply update the DNS record, and the rest of the servers will know about it (with names like users.db.mysoft.com, routing.mysoft.com, cluster1.memcached.mysoft.com). I'm considering setting up a master DNS server on a micro/small instance to accommodate this. I'd preferably need something that's as simple as a key-value store (hostname - IP) into which the platform could remotely add/remove entries. Can I do this with BIND? Or is there a better solution?

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  • apache2 slow responding (debian)

    - by baloo
    I'm running an apache2 2.2.9 webserver with modpython and mpm_worker_module. The current config for the mpm is ServerLimit 32 StartServers 10 MaxClients 800 MinSpareThreads 25 MaxSpareThreads 75 ThreadsPerChild 25 MaxRequestsPerChild 0 The server has 1G of ram and a 100Mbit connection. Checking netstat -na | grep ESTABLISHED | wc -l gives me a number between 50 - 60. The load is about 1.0 Every pageload is also cached by memcached. I can't see why the server is so slow in responding to new connections, sometimes droping them completely? Also tried disabling iptables to make sure it's not because of a full state table or something like that. The only thing in dmesg is a lot of spam about "TCP: Treason uncloaked!"

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  • tcpsndbuf high fail count

    - by Matthew Crenshaw
    I've got a small setup, one machine that acts as a load balancer and two machines that do all the work. The load balancer runs nginx (static content + php proxying to workers) and mysql, the two workers run php5-fpm and memcached (pooled between workers). Here's beancounters for the balancer: tcpsndbuf 2171848 2386280 10000000 20000000 3947733 tcprcvbuf 1248288 1669504 10000000 20000000 0 Here's worker 1: tcpsndbuf 951976 1262672 20000000 40000000 0 tcprcvbuf 278528 393496 20000000 40000000 0 Here's worker 2: tcpsndbuf 989888 527472 20000000 40000000 0 tcprcvbuf 212992 452520 20000000 40000000 0 The balancer has 1GB ram, the two workers have 2GB ram each. What is eating my send buffer?

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  • Clear / Flush cached memory

    - by TheDave
    I have a small VPS with 6GB RAM hosting a couple of websites. Recently I have noticed that my cached memory size is quite high - see below: Cpu(s): 0.1%us, 0.1%sy, 0.0%ni, 99.1%id, 0.0%wa, 0.2%hi, 0.4%si, 0.0%st Mem: 6113256k total, 5949620k used, 163636k free, 398584k buffers Swap: 1048564k total, 104k used, 1048460k free, 3586468k cached After investigating if there is some method to have this flushed or cleared I stumbled upon a command which is: sync; echo 3 > /proc/sys/vm/drop_caches I read it could be useful to add this to a chron-task/job. Is this method recommended or could this lead to potential problems? The only concern I have is that I use one Magento installation on Memcached - could this have any negative effects on it? I am certainly not a pro therefore I would very much appreciate some expert advise. PS: My VPS runs on CentOS 5 x64 and I have WHM + NGINX installed.

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