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  • Scaling a video processing application on EC2?

    - by Stpn
    I am approaching the need to scale a video-processign application that runs on EC2. So far the setup is one machine: Backbonejs frontend Rails 3.2 Postgresql Resque + S3 for storage The flow of the app is as follows: 1) Request from frontend. Upload a video. 2) Storing video 3) Quering external APIs. 4) Processing / encoding videos. 5) Post to frontend. I can separate the backend and frontend without any problems, but when it comes to distributing the backend between several servers I am a bit puzzled. I can probably come up with a temporary solution (like just duplicating apps making several instances), but since I don't really have expertise in backend system administration, there can be some fundamental mistakes.. Also I would rather have something that is scalable. I wonder if anyone can give some feedback on the following plan: A) Frontend machine. Just frontend, talks to backend via REST Api of sorts. B) Backend server (BS), main database. Gets request from 1), posts to 2) saves uploads to 3) C) S3 storage. D) Server for quering APIs. Basically just a Resque workers, that post info back to 2) E) Server for video encoding. Processes videos uploaded on 3) and uploads them back. So I will have: A)frontend \ \ B)MAIN_APP/DB ----- C)S3 Storage (Files) / \ / / \ / D)ExternalAPI_queries E)Video_Processing (redundant DB) (redundant DB) All this will supposedly talk to each other via HTTP requests. My reason for this is that Video Processing part is really the most resource-intensive and I would just run barebones application that accepts requests and starts processing them. Questions: 1) In this setup I will have the main database at B) and all other servers will communicate with it via HTTP requests (and store duplicates of databases also I guess..for safety reasons). Is it the right approach or should I have 1 database that everyone connects to (how then?) 2) Is it a good idea to separate API queries from Video Processing part? Logically they are very close (processing is determined by the result of API queries), but resource-wise Video Processing is waaay more intensive. 3) what should I use to distribute calls between backend apps based on load?

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  • Amazon ELB and use of address / server names across multiple servers

    - by Stpn
    I am setting up Nginx servers behind the ELB. I set up so that api.app.com points to an ELB. I wonder which addresses I should use for remote connections, Nginx settings etc.. 1) For example, in Nginx: Should I do server { listen 80; #What is the right line here: # server_name <WWW.NAME.COM> OR <ec2-.....compute-1.amazonaws.com> OR <MLB-....amazonaws.com>?; passenger_enabled on; ..... } 2) I connect servers behind ELB to remote Postgres database. In Postgres settings should I open the ELB address (MLB-...amazonws.com) or to individual EC2 IPs?

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  • Upgraded to Ubuntu 12.04 from 10.04 and have to transfer database from Postgresql 8.4 to 9.1

    - by Stpn
    I upgraded server with a Rails application to Ubuntu 12.04 from 10.04 and cannot connect to Postgresql database now... Here is the error message from Rails app: could not connect to server: No such file or directory Is the server running locally and accepting connections on Unix domain socket "/var/run/postgresql/.s.PGSQL.5432" Also the pg_ctl start is not recognized as a command.. EDIT: Turns out my database in on Postgresl 8.4 and my sever is now running on 9.1. So all the database files / configs are on 8.4.. How can I transfer them? Just straight copy from old pg_hba.conf?

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  • Am I using too much memory? (Rails on EC2 with Resque)

    - by Stpn
    I am looking at the memory usage of the Rails application (it uses background processes via Resque) and since the common answer to the question, "how many workers is too many" was "test and see", I ran some memory commands and wonder if someone can help figuring if the memory usage is high enough already, or I can still add some extra workers.. so (this is all under the maximum load): $ free -t -m total used free shared buffers cached Mem: 1756 1532 223 0 12 229 -/+ buffers/cache: 1291 464 Swap: 895 10 885 Total: 2652 1543 1108 $ vmstat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 0 0 10588 156172 13400 326476 1 6 4 0 5 4 1 0 99 0 If there is any extra info I can provide to help answer this, I would be happy to do so. If the question is strange in some way, please let me know I'd be glad to fix etc..

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