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Large platform architecture in (mostly) perl
This talk provides an overview of the large platform architecture used at State51 to deliver independent music and media content. It discusses using technologies like Varnish, Nginx, MogileFS, and Memcached to serve content efficiently from cheap hardware. It also describes using a job-based system with RabbitMQ to process workflows asynchronously instead of within web requests. The talk emphasizes designing for reliability through redundancy, monitoring with Splunk, and avoiding mutable states and relational database issues.
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Large platform architecture in (mostly) perl
- 1. Large platform architecture in(mostly) perl - an illustrated tour Tomas (t0m) Doran São Paulo.pm perl workshop 2010 YAPC::EU Pisa 2010
- 2. This talk • Ismostly a ramble • About what I do for a living • Good bits • and bad bits (probably mostly bad bits) • And when I say ‘illustrated’, I’m not very good at diagrams, sorry...
- 3. Making money from independent music • IMPOSSIBLE • No, no it isn’t. But we’re very lucky to have people who know the music industry • A startup would tank • Last.fm guys “keep losing less money”
- 4. The state51 conspiracy ConsolidatedIndependent Media Service Provider • Several (largely profitable) businesses based on the same technology platform • East London (Brick Lane), a warehouse. • > 60% of UK independent content goes through us somewhere
- 5. Being S3 onthe cheap • WAV files are big.Videos are bigger. • Transcodes aren’t small, especially when you have 15 of them. • My music collection is several hundred terrabytes • Need to be able to serve this stuff fast and concurrently.
- 6. MogileFS • Is free. •Runs on cheap hardware • Cheaper then S3. • Not so awesome if you aren’t Livejournal
- 7. Data center design •8 amp racks. Seriously, WTF!?!?! • Electricity is more expensive than servers, ergo rolling hardware upgrades trivially pay for themselves. • Transit is really, really expensive. • Worth buying fiber to other locations to peer if you need lots of bandwidth.
- 8. Platform overview <VIP> <VIP> <VIP> Varnish Varnish Varnish ESI: ESI: ESI: nginx nginx nginx Apache + mogile Apache + mogile Apache + mogile + custom + custom + custom FCGI FCGI le FCGI FCGI le FCGI FCGI le apps auth apps auth apps auth Also: Encoding (bare metal) Encoding (VMWare) Encoding SOAP service Memcached Mogile Tracker Storage Replication StorageStorage StorageStorageStorage MySQL MySQL StorageStorageStorage StorageStorageStorage Object store Object store StorageStorageStorage Master Slave StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorage Storage
- 9. Web architecture • Appservers apache, apps FastCGI, port 81 • Varnish + ESI, caching, port 80 • 1 varnish per host, talks to all the apaches • 1 VIP per host • Host fail:VIP transfer • Apache/app fail (or overload), varnish rebalances/retries.
- 10. Web architecture (cont) •Varnish doesn’t cache media, just provides failover. • nginx sends the hit to FastCGI app. • Returns X-Accel-Redirect. • nginx talks to MogileFS, handles delivery.
- 11. <VIP> <VIP> <VIP> Varnish Varnish Varnish ESI: ESI: ESI: nginx nginx nginx Apache + mogile Apache + mogile Apache + mogile + custom + custom + custom FCGI FCGI le FCGI FCGI le FCGI FCGI le apps auth apps auth apps auth Also: Encoding (bare metal) Encoding (VMWare) Encoding SOAP service Memcached Mogile Tracker Storage Replication StorageStorage StorageStorageStorage MySQL MySQL StorageStorageStorage StorageStorageStorage Object store Object store StorageStorageStorage Master Slave StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorage Storage
- 12. Storage architecture • Lotsof boxes with lots of disk. • Many additional roles to storage. (Mogile tracker, memcache node, metal encoding, VMWare, SOAP Service) • Not all the boxes do all the roles. • All the roles can safely fall over and die. • Which is good, as they do. Or the box falls over. Or a, then b.
- 13. <VIP> <VIP> <VIP> Varnish Varnish Varnish ESI: ESI: ESI: nginx nginx nginx Apache + mogile Apache + mogile Apache + mogile + custom + custom + custom FCGI FCGI le FCGI FCGI le FCGI FCGI le apps auth apps auth apps auth Also: Encoding (bare metal) Encoding (VMWare) Encoding SOAP service Memcached Mogile Tracker Storage Replication StorageStorage StorageStorageStorage MySQL MySQL StorageStorageStorage StorageStorageStorage Object store Object store StorageStorageStorage Master Slave StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorageStorage StorageStorage Storage
- 14. WAV files • WAVis a container format. • Loosely defined. • You can stuff XML documents in WAV files • Some encoders (oh hai flac) very picky. • ‘dirty’ and ‘clean’ WAV files.
- 15. Transcoding everything • Lotsof different formats • WMA - GNARGGH%$@*&!!
- 16. Win32 • We’re runningActiveState for hysterical raisins. • No XS modules • Thin as possible
- 17. Encoding HTTP Nodes HTTPNodes HTTP Nodes Encoding Service Uploading Service GET & PUT SOAP media Encoder Downloader Uploader Win32 & Local Disk Encoder (mp3) Encoder (wma) Unix
- 18. Snakes On APlane • SOAP actually works ok here, as we control both ends. • Old version of SOAP::Lite • Wouldn’t recommend interoperating
- 19. Logging • Used tobe terribly hard to debug • Push logs into syslog • Aggregate in splunk - time correlated from encoding machines, web service machines, etc. • Much easier to work out what happened.
- 20. Hardware is shit •When you have several 100 Tb, undetected bit error rate of magnetic media is actually significant. • See also networks, memory, etc.
- 21. Things will alwaysfail • If you need reliability, you have to design it in from the start. • Not only will you have (a lot of) hardware failures, all the software will break in unexpected ways. Lets not talk about netotworks.. • Maybe you don’t need this..
- 22. Queueing • We havework queues of different types of media (e.g. mp3/wma/aac etc) • In the database. • Don’t do this.
- 23. MySQL sucks • 1type of JOIN • No query rewriting • Not enough stats for the planner to be sane
- 24. This can hurt •File Transform table: • Master (File) • Result (File) • Status (pending/complete/failed/running) • TransformStep (from/to) • Leads to bad join order, massive fail
- 25. MySQL sucks FAIL
- 26. How to fail •SELECT all file transforms that lead to wma (millions). • JOIN all files, ever (millions). Filter to find those in state ‘pending’ • All pending looks like a bad bet - cardinality of ‘all wmas’ looks better than cardinality of ‘all pending’. • JOIN in the wrong order, nested loop, screwed..
- 27. Queueing • Did Imention queues in the DB suck? • Even if you’re not screwing it up. • Get a Message Queue (or at least an async job server) • If your problem is simple - Gearman. Harder or you need interop - RabbitMQ.
- 28. Mutable state • Mutablestate is the enemy • Too many things rw. • No idea how an object got to this state
- 29. Anemic domain model Object-oriented programming (OOP) is a programming paradigm that uses "objects" – data structures consisting of data fields and methods together with their interactions – to design applications and computer programs. Programming techniques may include features such as data abstraction, encapsulation, modularity, polymorphism, and inheritance.
- 30. Anemic domain model •Superset of too much mutable state • Able to create invalid objects • Able to make previously valid objects invalid • Violation of the encapsulation and information hiding principles.
- 31. scripts • Lots ofour business logic was in scripts that manipulated objects • You need people to run scripts (in screen sessions) • Ewwww, ewwwww.
- 32. Jobs • Moved toa job based approach • Jobs started by file creation, or changing state of something in a web app • Jobs sent via message queuing. • Results go via message queueing • Jobs trigger other jobs
- 33. Jobs Example • ValidateXLS file supplied with order. • Valid files trigger another job to create objects for each thing in the XLS • This then triggers another job to create transforms, which are then done... • ... etc ... • Can’t do this workflow in a web request.
- 34. Jobs Future • Moreautomation of things people run scripts for. • Automatic job regeneration (you will lose messages).
- 35. Lava flow • Old(possibly unclean/invalid) data • Old (unused/unmaintained) code • “What harm does it do”
- 36. Relational integrity • Seemsto be a pipe dream more often then not in the real world. • Why? • It’s not hard
- 37. Data consistency • Thisshould theoretically be the same thing as relational integrity. • In practice...
- 38. Mumble View Crap •Too much logic in templates • Copy & paste • Business objects viewed as unchangeable • Deleted 3000 lines from 2 simple workflows. This fixed a dozen bugs.
- 39. Tangram • No LEFTJOIN • Displaying a product list becomes an x n problem. • OUCH • Keep stupid - put the entire DB hot in memcache!
- 40. Don’t do webdesign • You are a programmer • Make people pay for a design/CSS/HTML person • Work with them • Be happy
- 41. Love your sysadmins •Help them out. • Build packages, or local::libs or something • Keep everything in revision control • Allow things to be sensibly configured. • DOCUMENT THE POSSIBLE SETTINGS • Use systems management - Puppet?
- 42. Love your logs •Active feedback • Aggregate in splunk • Actively prune useless stuff • Actively add useful stuff after a production incident
- 43. ESI • Is reallyawesome • Make the pain go away • PURGE requests • Keep everything hot all the time
- 44. memcache everything • Keepthe entire database hot in memcache • We mostly ask trivial questions, so just cache those paths. • 30 Gb of RAM isn’t actually much (3 boxes..)
- 45. memcache • IS ACACHE • Use sequential port numbers and CNAMES • E.g. cache0:11210, cache1:11211, cache2:11212 etc.. • Run several per machine • Allows you to scale capacity and rebalance without entire cache flush.
- 46. Don’t push bytes •X-Sendfile and X-Accel-Redirect • I already talked about file delivery like this • Using 100Mb of RAM to proxy web requests does not scale.
- 47. Test everything • Redundantsystems need testing • You’ll still die unexpectedly in production • If you can manage it, make responsibility for deployment SEP.
- 48. • Thanks forlistening • Questions?