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  • Should use EXT4 or XFS to be able to 'sync'/backup to S3?

    - by Rafa
    It's my first message here, so bear with me... (I have already checked quite a few of the "Related Questions" suggested by the editor) Here's the setup, a brand new dedicated server (8GB RAM, some 140+ GB disk, Raid 1 via HW controller, 15000 RPM) it's a production web server (with MySQL in it, too, not just serving web requests); not a personal desktop computer or similar. Ubuntu Server 64bit 10.04 LTS We have an Amazon EC2+EBS setup with the EBS volume formatted as XFS for easily taking snapshots to S3, via AWS' console. We are now migrating to the dedicated server and I want to be able to backup our data to Amazon's S3. The main reason being the possibility of using the latest snapshot from an EC2 instance in case of hardware failure on the dedicated server. There are two approaches I am thinking of: do a "simple" file-based backup with rsync, dumping the database' and other files, and uploading to amazon via S3 API commands, or to an EC2 instance, or something. do a file-system "freeze" (using XFS) with the usual ebs/ec2 snapshot tool to take part of the file system, take a snapshot, and upload it to Amazon. Here's my question (or series of questions): Can I safely use XFS for the whole system as the main and only format on the dedicated server? If not, is it safe to use EXT4? Or should I use something else? would then be possible to make snapshots of the system to upload to Amazon? Is it possible/feasible/practical to do what I want to do, anyway? any recommendations? When searching around for S3/EBS/XFS, anything relevant to my problem is usually focused on taking snapshots of a XFS system that is already an EBS volume. My intention is to do it in a "real"/metal dedicated server. Update: I just saw this on Wikipedia: XFS does not provide direct support for snapshots, as it expects the snapshot process to be implemented by the volume manager. I had always assumed that I could choose 2 ways of doing snapshots: via LVM or via XFS (without LVM). After reading this, I realize these 2 options are more like it: With XFS: 1) do xfs_freeze; 2) copy the frozen files via, eg, rsync; 3) unfreeze xfs With LVM and XFS: 1) do xfs_freeze; 2) make a binary copy of the frozen fs via lvcreate and related commands; 3) unfreeze xfs; 4) somehow backup the LVM snapshot. Thanks a lot in advance, Let me know if I need to clarify something.

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  • How do you prevent Git from printing 'remote:' on each line of the output of a post-recieve hook?

    - by Matt Hodan
    I recently configured an EC2 instance with a Git deployment workflow that resembles Heroku, but I can't seem to figure out how Heroku prevents the Git post-receive hook from outputting 'remote:' on each line. Consider the following two examples (one from my EC2 project and one from a Heroku project): My EC2 project: git push prod master Counting objects: 9, done. Delta compression using up to 2 threads. Compressing objects: 100% (5/5), done. Writing objects: 100% (5/5), 456 bytes, done. Total 5 (delta 3), reused 0 (delta 0) remote: remote: Receiving push remote: Deploying updated files (by resetting HEAD) remote: HEAD is now at bf17da8 test commit remote: Running bundler to install gem dependencies remote: Fetching source index for http://rubygems.org/ remote: Installing rake (0.8.7) remote: Installing abstract (1.0.0) ... remote: Installing railties (3.0.0) remote: Installing rails (3.0.0) remote: Your bundle is complete! It was installed into ./.bundle/gems remote: Launching (by restarting Passenger)... done remote: To ssh://[email protected]/~/apps/app_name e8bd06f..bf17da8 master -> master Heroku: $> git push heroku master Counting objects: 179, done. Delta compression using up to 2 threads. Compressing objects: 100% (89/89), done. Writing objects: 100% (105/105), 42.70 KiB, done. Total 105 (delta 53), reused 0 (delta 0) -----> Heroku receiving push -----> Rails app detected -----> Gemfile detected, running Bundler version 1.0.3 Unresolved dependencies detected; Installing... Using --without development:test Fetching source index for http://rubygems.org/ Installing rake (0.8.7) Installing abstract (1.0.0) ... Installing railties (3.0.0) Installing rails (3.0.0) Your bundle is complete! It was installed into ./.bundle/gems Compiled slug size is 4.8MB -----> Launching... done http://your_app_name.heroku.com deployed to Heroku To [email protected]:your_app_name.git 3bf6e8d..642f01a master -> master

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  • Security as a Service (SecaaS) for Amazon EC2

    - by Dave
    I'm looking for a security as a service (SecaaS) provider or open source solution for Amazon EC2 instances, however I can't seem to find much on Google or elsewhere so was wondering if anyone knows where I could find this service? Ideally I'm looking for something that offers virtual firewalls, email and web security and virtual spam prevention. If anyone has any information on SecaaS i'd appreciate it, Thanks in advance

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  • Capistrano deploying to different servers with different authentication methods

    - by marimaf
    I need to deploy to 2 different server and these 2 servers have different authentication methods (one is my university's server and the other is an amazon web server AWS) I already have running capistrano for my university's server, but I don't know how to add the deployment to AWS since for this one I need to add ssh options for example to user the .pem file, like this: ssh_options[:keys] = [File.join(ENV["HOME"], ".ssh", "test.pem")] ssh_options[:forward_agent] = true I have browsed starckoverflow and no post mention about how to deal with different authentication methods this and this I found a post that talks about 2 different keys, but this one refers to a server and a git, both usings different pem files. This is not the case. I got to this tutorial, but couldn't find what I need. I don't know if this is relevant for what I am asking: I am working on a rails app with ruby 1.9.2p290 and rails 3.0.10 and I am using an svn repository Please any help os welcome. Thanks a lot

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  • Web server (IIS) and database mirroring (Postgresql)

    - by Timka
    Recently our web-server crashed and we had to recover everything from a backup which took the whole day(totally unacceptable in our business). So my question is, how can I create a complete mirror of the server that I can use (switch dns to) in case the same disaster happens in the future? Our main server is on Amazon with Windows 2008/IIS + Postgresql 9.1. I was thinking on creating the same server on a different location as a complete mirror with the database replication. But I'm not sure how to implement IIS instance mirroring over the internet... So my question is, how can I create a complete mirror of the server that I can use (switch dns to) in case the same disaster happens in the future?

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  • Calculating Cloud Service Costs [closed]

    - by capdragon
    Possible Duplicate: Can you help me with my capacity planning? I would like to scale a web application to the Cloud and wanted to know if anyone had any experience calculating costs and could tell me how I would go about that. I have NO experience with cloud services at all. Currently my production environment consists of two web servers and one database server. If the application continues on a linear growth path, eventually, I want to scale to the cloud to avoid any more long term commitments to extra hardware. I want to be able to create a similar environment I have now as a baseline. Have this as my fixed cost that I will always have. I also want to calculate my variable costs that will increase with more users or bandwidth. I don't have a preferred cloud vendor. Amazon, Rackspace, Terremark or any other is fine as long as understand how to calculate my fixed and variable costs.

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  • What can I do to give some more love and disk space to my database on Ubuntu?

    - by Yaron Naveh
    I'm new to linux. I've deployed a db to ubuntu server on amazon and found out I'm low on disk space. did df (see below) - and found out that I'm 89% capacity on one file system, but less on others. What does this mean? Do I have a few partitions and can now utilize others besides /dev/xvda1? Also /dev/xvdb seems large, is it safe to put the db in it and only use it? If so do I need to mount it or do something special? $> df -lah Filesystem Size Used Avail Use% Mounted on /dev/xvda1 8.0G 6.7G 914M 89% / proc 0 0 0 - /proc sysfs 0 0 0 - /sys none 0 0 0 - /sys/fs/fuse/connections none 0 0 0 - /sys/kernel/debug none 0 0 0 - /sys/kernel/security udev 3.7G 8.0K 3.7G 1% /dev devpts 0 0 0 - /dev/pts tmpfs 1.5G 164K 1.5G 1% /run none 5.0M 0 5.0M 0% /run/lock none 3.7G 0 3.7G 0% /run/shm /dev/xvdb 414G 199M 393G 1% /mnt

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  • (Amazon AWS) EBS mount error: Stale NFS file handle

    - by May
    I have an EC2 instance that just went offline (cannot even be pinged) but is still reflected as operational. In an effort to retrieve data stored on an attached EBS, I did a forced detach of the mounted volume, launched a new instance, and tried attaching the EBS volume. However, I keep getting an error - mount: Stale NFS file handle whenever I do so. Did I just lose all my files?

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  • How to create a new public AMI for windows?

    - by user67081
    I am trying to make a windows 2008 AMI that is a nice clean 64bit starter pack (IIS, SQL express, ASP.NET MVC, etc...) I would like to make it a public AMI when its done. There in lies the problem. I can make an AMI from my image no problem. But I can't seen to get new instances to generate their own passwords.. The results are that I have a new instance that works great with my password. So what is the process of making my EBS backed Instances convert into an AMI that will auto-generate its password and do all the other setup steps that amazon wants to go thru when a new instance starts up? Thanks in advance.

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  • How can I get started with BigData?

    - by ????? ????????
    I have a programming background, and I've done lots of database design and written lots of queries with Sql Server. I am really excited about looking at bigdata solutions. I know almost nothing about it. The way I want to learn is to sign up for a sandbox where I can try things out. questions Is there a sandbox where I can play around with hadoop? It does not have to be free. Would amazon EMR be the right path to go? What technologies should I be looking at to get started quickly? Is there a 'bigdata' dataset that is available to play with? Thank you so much for your guidance.

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  • Duplicating an instance into a new VPC from a Snapshot

    - by Remmus
    We have a group of instances in an Amazon VPC we use for our live environment. We have a big release to do and want to test that the deployment will run smoothly. I have created a second VPC, created instances of the same size on the same private ips and then removed their original volumes and attached new volumes that were created from snapshots of the live environment. Unfortunately none of the instance will allow me to connect. They start running fine, but I don't get any system logs appear and can't connect. The only thing I can think of is that the new instance was created from a new AMI as the old one is deprecated due to new security fixes. Is this a problem? If so can I fix it in any way? And if this isn't a problem, does anyone have any ideas how I can fix it?

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  • Suspicious activity in access logs - someone trying to find phpmyadmin dir - should I worry?

    - by undefined
    I was looking over the access logs for a server that we are running on Amazon Web Services. I noticed that someone was obviously trying to find the phpmyadmin directory - they (or a bot) were trying different paths eg - admin/phpmyadmin/, db_admin, ... and the list goes on. Actually there isnt a database on this server and so this was not a problem, they were never going to find it, but should I be worried about such snooping? Is this just a really basic attempt at getting in to our system? Actually our database is held on another managed server which I assume is protected from such intrusions. What are your views on such sneaky activity?

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  • Is the Cloud ready for an Enterprise Java web application? Seeking a JEE hosting advice.

    - by Jakub Holý
    Greetings to all the smart people around here! I'd like to ask whether it is feasible or a good idea at all to deploy a Java enterprise web application to a Cloud such as Amazon EC2. More exactly, I'm looking for infrastructure options for an application that shall handle few hundred users with long but neither CPU nor memory intensive sessions. I'm considering dedicated servers, virtual private servers (VPSs) and EC2. I've noticed that there is a project called JBoss Cloud so people are working on enabling such a deployment, on the other hand it doesn't seem to be mature yet and I'm not sure that the cloud is ready for this kind of applications, which differs from the typical cloud-based applications like Twitter. Would you recommend to deploy it to the cloud? What are the pros and cons? The application is a Java EE 5 web application whose main function is to enable users to compose their own customized Product by combining the available Parts. It uses stateless and stateful session beans and JPA for persistence of entities to a RDBMS and fetches information about Parts from the company's inventory system via a web service. Aside of external users it's used also by few internal ones, who are authenticated against the company's LDAP. The application should handle around 300-400 concurrent users building their product and should be reasonably scalable and available though these qualities are only of a medium importance at this stage. I've proposed an architecture consisting of a firewall (FW) and load balancer supporting sticky sessions and https (in the Cloud this would be replaced with EC2's Elastic Load Balancing service and FW on the app. servers, in a physical architecture the load-balancer would be a HW), then two physical clustered application servers combined with web servers (so that if one fails, a user doesn't loose his/her long built product) and finally a database server. The DB server would need a slave backup instance that can replace the master instance if it fails. This should provide reasonable availability and fault tolerance and provide good scalability as long as a single RDBMS can keep with the load, which should be OK for quite a while because most of the operations are done in the memory using a stateful bean and only occasionally stored or retrieved from the DB and the amount of data is low too. A problematic part could be the dependency on the remote inventory system webservice but with good caching of its outputs in the application it should be OK too. Unfortunately I've only vague idea of the system resources (memory size, number and speed of CPUs/cores) that such an "average Java EE application" for few hundred users needs. My rough and mostly unfounded estimate based on actual Amazon offerings is that 1.7GB and a single, 2-core "modern CPU" with speed around 2.5GHz (the High-CPU Medium Instance) should be sufficient for any of the two application servers (since we can handle higher load by provisioning more of them). Alternatively I would consider using the Large instance (64b, 7.5GB RAM, 2 cores at 1GHz) So my question is whether such a deployment to the cloud is technically and financially feasible or whether dedicated/VPS servers would be a better option and whether there are some real-world experiences with something similar. Thank you very much! /Jakub Holy PS: I've found the JBoss EAP in a Cloud Case Study that shows that it is possible to deploy a real-world Java EE application to the EC2 cloud but unfortunately there're no details regarding topology, instance types, or anything :-(

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  • Mounting Replicated Gluster Multi-AZ Storage

    - by Roman Newaza
    I have Replicated Gluster Storage which is used by Auto scaling Servers. Both, Auto scaling and Storage are allocated in two Availability zones. Gluster: Number of Bricks: 4 x 2 = 8 Transport-type: tcp Bricks: Brick1: gluster01:/storage/1a # Zone A Brick2: gluster02:/storage/1b # Zone B Brick3: gluster03:/storage/2a # Zone A Brick4: gluster04:/storage/2b # Zone B Brick5: gluster01:/storage/3a # Zone A Brick6: gluster02:/storage/3b # Zone B Brick7: gluster03:/storage/4a # Zone A Brick8: gluster04:/storage/4b # Zone B I used Round Robin DNS for Gluster entry point, so DNS name resolves to all of the storage server addresses which are returned in different order all the time: # host storage.domain.com storage.domain.com has address xx.xx.xx.x1 storage.domain.com has address xx.xx.xx.x2 storage.domain.com has address xx.xx.xx.x3 storage.domain.com has address xx.xx.xx.x4 The Storage is mounted with Native Gluster Client: # grep storage /etc/fstab storage.domain.com:/storage /storage glusterfs defaults,log-level=WARNING,log-file=/var/log/gluster.log 0 0 I have heard Gluster might be mounted with the first Server IP and after that it will fetch its configuration with the rest of Servers. Personally, I never tested single Server mount setup and I don't know how Gluster handles this. On EC2, traffic among single Availability zone is free and between different zones is not. When Client in zone A writes to storage and IP of Storage in zone B is returned, it will cost me twice more for data transfer: Client (Zone A) - Storage Server (Zone B) - Replication to Storage Server (Zone A). Question: Would it be better to mount Storage Server of the same zone, so that data transfer charges apply only for replication (A - A - B)?

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  • Apache doesn't immediately notice a change in the document root

    - by Tom
    We use capistrano for website deployments and our Apache document root is a symlink to a particular code release. The deployment procedure switches the symlink from the old release to the new release as the final step of the deployment. We are migrating our webservers from real servers running RHEL 5.6 to Amazon EC2 virtual machines running Ubuntu 11.10 and the new servers are suffering from a problem where Apache doesn't immediately notice the change to it's document root when the symlink is switched. It can take a second or so (and I think I've even seen it take a couple of minutes). It's kind of like Apache has cached the physical path of the symlink for some time. Does anyone know some Apache settings I could look at to get it to "scan" for changes to it's served files quicker. Thoughts: I read that the disks on virtual machines are much slower (since they are network attached storage). Perhaps the filesystem cache somehow works differently too? If so, is there anything that can be done? The website runs PHP code. Perhaps there is some PHP config differences between RHEL and Ubuntu? I checked realpath_cache_ttl but both servers have it commented out: e.g. ; Duration of time, in seconds for which to cache realpath information for a given ; file or directory. For systems with rarely changing files, consider increasing this ; value. ; http://www.php.net/manual/en/ini.core.php#ini.realpath-cache-ttl ;realpath_cache_ttl = 120 We do use the APC opcode cache but don't think it's the issue due to experimentation. The PHP code is in different file paths for each deployment and we ensure stat=1. Here is a similar question that is very interesting: 294107 - but doesn't provide an answer for me. One solution would be to reload Apache everytime we modify the document root symlink. I'll do this if we can't find another solution.

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  • Rails/Mongo across multiple different geo-regions

    - by wmarbut
    I have a system that by necessity requires physical presence in three or more different locations and I need advice on structuring in such a way that my database stays replicated in a timely manner without horrible latency. I've seen mysql access and replication be incredibly slow when the application server was trying to talk to a node that wasn't physically collocated. In this case I am using mongodb. The stack is linux/passenger/ruby/rails/mongodb. The database is write heavy and read light. The infrastructure is Amazon EC2 The application layer must be physically located in 3 or more different locations. I can't justify this requirement further than it is a requirement. The database, however needn't be located in more than one location if it can be written to quickly from other locations. From reading mongo's documentation, mongo replication seems like more of a candidate than sharding b/c my datastore is not huge. However I don't see anything that addresses the issue of speed for servers communicating across large distances with potentially high latency.

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  • SSL Returning Blank Page, No Catalina Errors

    - by Mr.Peabody
    This is my second, maybe third, time configuring SSL with Tomcat. Earlier I had created a self signed, which worked, and now using my signed is proving fruitless. I am using Tomcat, operating from the Amazon Linux API. When using the signed cert/keystore, my server is starting normally without errors. However, when trying to navigate to the domain it is giving me an "ERR_SSL_VERSION_OR_CIPHER_MISMATCH" error. My server.xml file looks as follows: <Connector port="8443" maxHttpHeaderSize="8192" maxThreads="150" minSpareThreads="25" maxSpareThreads="75" enableLookups="false" disableUploadTimeout="true" acceptCount="100" scheme="https" secure="true" SSLEnabled="true" clientAuth="false" sslProtocol="TLS" keystoreFile="/home/ec2-user/.keystore/starchild.jks" keystorePass="d6b5385812252f180b961aa3630df504" /> It couldn't hurt to also mention that I'm using a wildcard certificate. Please let me know if anything looks amiss! EDIT: After looking more into this, I've determined there may be nothing is wrong with the Server.xml, or the listening ports. This is becoming more of an actual certificate error, as the curl request is giving me this error: curl: (35) Unknown SSL protocol error in connection to jira.mywebsite.com:-9824 Though, I can't seem to figure out what the "-9824" is. When comparing this curl to another similar setup (using the same Wildcard Certificate) it's turning up the full handshake, which is to be expected. I believe this is now between the protocol/cypher set default on JIRA servers.

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  • Apache taking up a lot of CPU while running request-tracker4

    - by bhowmik
    I am trying out a request-tracker installation on an EC2 micro instance. The specs for the micro instance are as follows 1) Ubuntu 12.04 64bit, 613MB RAM, 8GB Hard Drive 2) Running request-tracker 4.0.4 from the repository, perl 5.14.2, Apache2, MySQL5 3) Request-tracker4.0.4 running with mod_perl2 and Worker mpm 4) Apache configured with Worker MPM. Config snippet given below Timeout 150 KeepAlive On MaxKeepAliveRequests 60 KeepAliveTimeout 2 <IfModule mpm_worker_module> StartServers 2 MinSpareThreads 25 MaxSpareThreads 75 ThreadLimit 64 ThreadsPerChild 25 MaxClients 150 MaxRequestsPerChild 0 </IfModule> Now when I start Apache2 it works fine for some time and after a while the CPU load shoots up to 99% or more. Usually it is one or more Apache processes doing this. I've tried a to modify the worker module configuration without any luck. The log files for both Apache2 and request-tracker4 are set to log debug messages and don't show anything to indicate what could be causing this. The system gets a maximum of 5 users at any given time and usually (90% of the time) it is just 2. I've just installed it and we only have 20 tickets in the database. I don't think its the memory thats causing the issue since the server isn't swapping or even close to it and I hardly see the memory usage go up. Would appreciate any pointers on how to go about troubleshooting this. In case it helps I've also tried this out a similar installation on a small instance (Identical settings except RAM bumped upto 1.7GB) and I still see the issue.

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  • Hosting django backend for iPhone / Android app

    - by Ashok Fernandez
    I am looking to make an iPhone / Android app for my university using the Appcelerator Titanium framework. The app will rely heavily on a server backend which will pull information from other sites, figuring out what is relevant to the user then deliver the content. Some of the information is individual to the user (calendar data), other bits are updates frequently but are shared (bus timetables) and others are static and the same for everyone (magazine articles). I was going to use django as I am fairly proficent in python so I thought it would save time. My question is, which hosting services do you recommend to host the server backend? I am expecting about 9000 people to use the app with very random spikes in traffic, but unfortunately I have very little to go on at this stage. I have heard a lot about Webfaction, is it suitable for something like this or am I likely to need something bigger? I don't really want to fork out for a VPS at this stage. What about Amazons EC2? Would that be more suitable than Webfaction? Sorry for the fairly open ended question, Im sort of new to this so I open to all suggestions.

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  • Permission issue for apache

    - by Aamir Adnan
    Environment Details: Amazon Ec2 Ubuntu 12.04 Django + mod_wsgi + python 2.6 web server: apache2 I have mounted a 10GB ebs volume to an instance to /mnt/ebs1/. After mounting the volume and formatting, I have placed all my project files in /mnt/ebs1/project. the wsgi file is in /mnt/ebs1/project/apache/django.wsgi. The content of wsgi file is: import os, sys sys.path.insert(0, '/mnt/ebs1/project') sys.path.insert(1, '/mnt/ebs1') os.environ['DJANGO_SETTINGS_MODULE'] = 'project.configs.common.settings' import django.core.handlers.wsgi application = django.core.handlers.wsgi.WSGIHandler() My httpd.conf file looks as: LoadModule wsgi_module /usr/lib/apache2/modules/mod_wsgi.so WSGIPythonHome /usr/bin/python2.6 WSGIScriptAlias / /mnt/ebs1/project/apache/django.wsgi <Directory /mnt/ebs1/project> Order allow,deny Allow from all </Directory> <Directory /mnt/ebs1/project/apache> Order allow,deny Allow from all </Directory> Alias /static/ /mnt/ebs1/project/static/ <Directory /mnt/ebs1/project/static> Order deny,allow Allow from all </Directory> The above configurations gives me Forbidden: You don't have permission to access / on this server. I tried to find the user which is running apache using ps aux which is www-data and has group www-data. I have tried to change the ownership of /mnt/ebs1 and its subdirectories using chown -R www-data:www-data /mnt/ebs1 but that still does not solve the problem. Can any one tell me what I am doing wrong or have missed?

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  • Dedicated virtual setup is slow with WordPress

    - by kovshenin
    Hey. I'm running a Fedora linux server on the Amazon EC2 platform. I'm pretty sure there's something wrong with my configuration as it seems to be very slow. SSH sometimes takes over 30 seconds to connect, a WordPress generated web page could take 5 seconds to load, and it could take 20 seconds to load, which is pretty awkward. MySQL queries are all executed in less than a second, so I don't think that's the case. I'm not really sure where the issue lies, but a simple page written in PHP loads instantly. A fresh WordPress installation starts lagging. Same works perfect on grid hosting at MediaTemple for instance, so I'm pretty sure I missed something. If you could please direct me to the right tools and articles which would help me out. Thanks so much! Fedora Core 8, php 5.2.6, MySQL 5.0.45, OpenSSH 4.7p1, OpenSSL 0.9.8b. PHP is configured as a module to Apache 2.2.9, all websites based on virtual hosts. I have some on-going php scripts running from time to time in the background via cron. Thanks.

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  • Sanitize Content: removing markup from Amazon's content

    - by StackOverflowNewbie
    I'm using Amazon Web Service to get product descriptions of various items. The problem is that Amazon's content contains mark up that is sometimes destructive to the layout of my web page (e.g. unclosed DIVs, etc.). I want to sanitize the content I get from Amazon. My solution would be to do the following (my initial list so far): Remove unnecessary tags such as div, span, etc. while keeping tags like p, ul, ol, etc. Remove all attributes from all the tags (e.g. seems like there are style attributes in some of the tags) Remove excess white space (e.g. multiple spaces, carriage returns, new lines, tabs, etc.) Etc. Before I go off trying to build my solution, I'm wondering if anyone has a better idea (or an already existing solution). Thanks.

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  • MongoDB data directory transfer and upgrade

    - by KPL
    I just transferred my data directory (of Mongo 1.6.5) to a new server and installed Mongo 2.0 on it. I set the data directory path and did sudo server mongod restart. It failed, and the log file output says this - ***** SERVER RESTARTED ***** Sun Oct 9 07:51:47 [initandlisten] MongoDB starting : pid=8224 port=27017 dbpath=/database/mongodb 64-bit host=domU-12-31-39-09-35-81 Sun Oct 9 07:51:47 [initandlisten] db version v2.0.0, pdfile version 4.5 Sun Oct 9 07:51:47 [initandlisten] git version: 695c67dff0ffc361b8568a13366f027caa406222 Sun Oct 9 07:51:47 [initandlisten] build info: Linux bs-linux64.10gen.cc 2.6.21.7-2.ec2.v1.2.fc8xen #1 SMP Fri Nov 20 17:48:28 EST 2009 x86_64 BOOST_LIB_VERSION=1_41 Sun Oct 9 07:51:47 [initandlisten] options: { auth: "true", config: "/etc/mongod.conf", dbpath: "/database/mongodb", fork: "true", logappend: "true", logpath: "/var/log/mongo/mongod.log", nojournal: "true" } Sun Oct 9 07:51:47 [initandlisten] couldn't open /database/mongodb/local.ns errno:1 Operation not permitted Sun Oct 9 07:51:47 [initandlisten] error couldn't open file /database/mongodb/local.ns terminating Sun Oct 9 07:51:47 dbexit: Sun Oct 9 07:51:47 [initandlisten] shutdown: going to close listening sockets... Sun Oct 9 07:51:47 [initandlisten] shutdown: going to flush diaglog... Sun Oct 9 07:51:47 [initandlisten] shutdown: going to close sockets... Sun Oct 9 07:51:47 [initandlisten] shutdown: waiting for fs preallocator... Sun Oct 9 07:51:47 [initandlisten] shutdown: closing all files... Sun Oct 9 07:51:47 [initandlisten] closeAllFiles() finished Sun Oct 9 07:51:47 [initandlisten] shutdown: removing fs lock... Sun Oct 9 07:51:47 dbexit: really exiting now I have already run it with --upgrade once.

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  • Using NFS for scalable PHP/MySQL web application

    - by Jeroen Moons
    Here's the situation: I have a PHP/MySQL web application that accepts user uploads (pdf files). From these pdf files' pages a preview image is made on the fly and presented to the web app's users. Some pdfs might be on the large side, most will be under 50 MB but some extreme cases could be as large as a few hundred MB. A little waiting for the preview image for large pdf files is acceptable but no more than a minute let's say. Everything is running on one server for now, but soon the app will hit the server's limit on both storage and processing power. My idea to solve the problem: To deal with this situation I had the idea of having one or more pdf processing servers as needed, and one or more file storage servers. These two types of servers are mounted to the server on which the actual app runs using NFS. The app could then use GearMan to delegate pdf processing tasks to these processing servers. The processing server can mount the storage server and read the file stored there, process it and write its output to that server. The servers I'm talking about will be amazon ec2 instances. The web app returns a link to the resulting pdf preview image on the storage server that was used which can then be used on the front end to show the image to the user. My question: I have zero experience with apps that use multiple servers, is this idea viable or is there a better way to do it? Is an NFS setup fast and reliable enough for this situation?

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  • How does the Amazon Recommendation feature work?

    - by Rachel
    What technology goes in behind the screens of Amazon recommendation technology? I believe that Amazon recommendation is currently the best in the market, but how do they provide us with such relevant recommendations? Recently, we have been involved with similar recommendation kind of project, but would surely like to know about the in and outs of the Amazon recommendation technology from a technical standpoint. Any inputs would be highly appreciated. Update: This patent explains how personalized recommendations are done but it is not very technical, and so it would be really nice if some insights could be provided. From the comments of Dave, Affinity Analysis forms the basis for such kind of Recommendation Engines. Also here are some good reads on the Topic Demystifying Market Basket Analysis Market Basket Analysis Affinity Analysis Suggested Reading: Data Mining: Concepts and Technique

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