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Tuenti Release Workflow

Tuenti
March 26, 2012

Tuenti Release Workflow

How Tuenti code lifetime is handled, releases are done and which opensource tools we use.

Tuenti

March 26, 2012
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  1. Numbers • +13M users (~10,4M active users dec 2011) •

    +100 usage minutes / day (avg) • +400M chat messages / day • +4M photos uploaded / day (peaks) • +41,000M page views / month • +35K requests / sec (peaks) • +1,3K servers • +250 employees (~60% techies) • +15K files in the repositories • +10K Tests
  2. Release Workflow: Branch Branch Code Test Integrate Release Stabilize •

    Avg. 15 branches per release • Current record: 29 branches • Repository per functional area (be, fe, stats, …) • Avg. lines modified per release: 63K
  3. Release Workflow: Code + Test Branch Code Test Integrate Release

    Stabilize • Scrum (or at least Agile) • As TDD as possible • Labs • A/B Testing • PoCs • Dark launch
  4. Release Workflow: Integrate Branch Code Test Integrate Release Stabilize •

    Repo always available • Specific release date given by devops – Merge & wait for target • Only merge if 100% tests ok or specific approval • QA Regression & manual tests • Fix possible integration problems ASAP
  5. Release Workflow: Release Branch Code Test Integrate Release Stabilize •

    3 releases per week – DevOps goal: All weekdays • Latest stable changeset from Integration taken previous working day morning • Release doc, pre-release meetings • Staging servers to test with live data
  6. Release Workflow: Stabilize Branch Code Test Integrate Release Stabilize •

    First code push: 8 AM – DevOps Goal: single push + release closed • Release window: 1-2 h – DevOps goal: < 30 minutes • Error stabilization or release rollback • Representatives from all involved teams
  7. DVCS: Mercurial • http://mercurial.selenic.com/ • Syntax similar to SVN (our

    old system) • Easy API to plug our plugins and hooks • Cross-platform • Tuenti Addons: – Commit hooks to check syntax, push ticket #... • Problems: – Push/pulls through VPN are slow – Handling multiple repos still slow – Only one level of rollback!
  8. Issue Tracking: Trac • http://trac.edgewall.org/ • User Stories tasks +

    Bugs • Wiki (now also internal Google Sites) • Plugins and extensible • Tuenti Addons: – Master/Slave architecture – Tons of tweaks and source code integration hooks • Problems: – Slow, limited, code viewing sucks • Migration to JIRA planned
  9. Testing: PHPUnit • http://www.phpunit.de • Some caveats – Mocking just

    ‘works’ – PHP process spawning PHP tests • Tuenti Addons: – Vastly improved mocking framework – Shell scripts that isolate test batteries – Better integration with Selenium • Problems: – Our current FEFW does not cope perfectly with PHPUnit/Selenium
  10. Testing: Selenium • http://seleniumhq.org/ • Running browser tests in FFox

    and IE • Tuenti Addons: –Custom build with some fixes • Problems: –Javascript handling/detection not perfect –AJAX far from optimal –IE runner is an iframe • Planned migration to Webdriver
  11. CI: Jenkins • http://jenkins-ci.org/ • Previously Hudson too • Specialized

    farm (master + 22 nodes) • Tuenti Addons: • Parallelization (up to 6 nodes) • Special reports • “Smart” runs (try first last failed tests, etc.) • Problems: • Browser tests slow (due to Selenium) • Unstable (mainly due to Selenium)
  12. Storage: MySQL • http://www.mysql.com/ | http://www.percona.com • Live site storage

    • Dev. env. storage – 1 DB per user (to run tests) – 1 shared DB (common faked data) • Clusters of master/slave DBs • Problems: – Slow when running tests – Shared dev DB has old-time inconsistencies
  13. Storage: Hadoop • http://hadoop.apache.org/ • Dedicated cluster • Pig scripts:

    Stats, other non-realtime data • HBase: Async. data storage • Hive: SQL-like querying • Problems: –Complex configuration for newcomers
  14. Caching: Memcached • http://memcached.org/ • Avg. DB querys/pageview: 0.3 •

    Dev. Behaviour == live behaviour • Tuenti Addons (https://github.com/tuenti): – UDP + multi-ports • Problems: – 32GB RAM / machine practical limit – Remember to warm-up data or MC will kill the DB!
  15. Configuration: Puppet • http://puppetlabs.com/ • Production machines • Jenkins nodes

    • VM management / Dev web servers config • Problems: – Wipes user config if not puppetized
  16. Search: Sphinx • http://sphinxsearch.com/ • Non-realtime (index based) • Very

    fast • Problems – Index re-generation on dev & test env. – Could be more friendly to add new data
  17. Build: Our build script • http://ant.apache.org/ • Localization • Minification

    + Bundling + Versioning • Statics deployment to CDNs • Fast: 2-3 minutes full build – Multithreading + parallelization • Allows partial, component based builds • Problems: – Under heavy CPU load, build time goes up :(
  18. Statics bundling: YUI • Less files == faster download &

    deploy • Big text file == better HTTP Gzip • HTML/JS/CSS Minification • Ultra fast build: ~4 seconds in Dev. • On demand JS loading! • Nice typical framework features • Wonderful & simple events system
  19. Statics bundling: YUI (II) • Tuenti Addons: – Caching builds

    – Line breaks each # characters (easier IE debugging) – CDNs handling • Problems: – Change in JS requires rebuilding even in dev. – Requires small migrations/changes in existing JS
  20. Chat Server: Ejabberd • http://www.ejabberd.im/ • Erlang XMPP (Jabber) server

    • 400M msgs/day, 1M concurrent users peak,… • 20 machines, ~5 instances per machine • Tuenti Addons: – Ejabberd codebase tweaked (3,5x faster) – Protocol tweaks to optimize for our architecture • Problems: – Same behaviour dev/live is critical
  21. Compilation: HipHop • Migrating old code to fully support HipHop

    – With PHP 5.3 • Obvious speed improvements • Also nice for static code analysis