12 Factor App Methodology
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The 12 Factor App methodology provides guidelines for building software-as-a-service applications in the cloud. It advocates for codebases that are tracked in revision control, explicit declaration of dependencies, separation of configuration from code, treating backing services as attached resources, and strict separation between build, release, and run stages. The methodology also includes guidelines for processes, port binding, concurrency, disposability, keeping development and production environments similar, and treating logs as event streams. Following the 12 factors can help applications maximize portability, be more robust and agile, and scale smoothly by avoiding reliance on implicit tools or behaviors.
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12 Factor App Methodology
- 1. 12 Factor App Methodology Laeshin Park laeshiny@gmail.com
- 2. Table of Content • About Me • What is 12 Factor App • Summary • 12 Factor App Check List
- 3. About Me • Interesting in Cloud Native • This kind of methodology is new to me
- 4. What is 12 Factor App? • Methodology for building software-as-a-service in the Cloud
- 5. Who wrote? • http://12factor.net • Manifesto written around 2012 • by Adam Wiggins (Heroku, co-founder)
- 6. For Who? • Any developer building applications which run as a service. • Ops engineers who deploy or manage such applications.
- 7. What is good? • Minimize time and cost for new developers joining the project. • Offer maximum portability between execution environments. • Enable continuous deployment for maximum agility. • Obviate the need for servers and systems administration. • Can scale up without significant changes to tooling, architecture, or development practices.
- 8. How? • Use declarative formats for setup automation. • Have a clean contract with the underlying operating system. • Minimize divergence between development and production.
- 9. How? • I. Codebase • II Dependencies • III. Config • IV. Backing services • V. Build, release, run • VI. Processes • VII. Port binding • VIII. Concurrency • IX. Disposability • X. Dev/prod parity • XI. Logs • XII. Admin processes
- 10. I. Codebase • One codebase tracked in revision control, many deploys • VCS(Version Control System): subversion, git, ...
- 11. I. Codebase
- 12. I. Codebase • Demo • Git • https://github.com/laeshiny/12factorapp
- 13. II. Dependencies • Explicitly declare and isolate dependencies • Never rely on implicit existence of system-wide packages • Do not rely on the implicit existence of any system tools • Example: curl
- 14. II. Dependencies • Python • Virtualenv • Ruby • Gemfile • Demo How to handle Dependencies
- 15. III. Config • Resource handles to the database, Memcached, and other backing services • Credentials to external services such as Amazon S3 or Twitter • Per-deploy values such as the canonical hostname for the deploy • Everything that is likely to vary between deploys (staging, production, developer environments, etc) What is config?
- 16. III. Config • “config” does not include internal application config • Use config files which are not checked into revision control • You can make your project open source • Stores config in environment variables!!!! How to handle config
- 17. III. Config • Demo • python code
- 18. IV. Backing services • Any service the app consumes over the network as part of its normal operation. What is Backing services?
- 19. IV. Backing services • locally-managed services, • datastores : MySQL or CouchDB • messaging/queueing systems : RabbitMQ or Beanstalkd • SMTP services : Postfix • caching systems : Memcached or Redis • third parties managed • SMTP services : Postmark • metrics-gathering services : New Relic or Loggly • binary asset services : Amazon S3 • API-accessible consumer services : Twitter, Google Maps, or Last.fm. What is Backing services?
- 20. IV. Backing services • Makes no distinction between local and third party services • Treat backing services as attached resources How to handle Backing service
- 22. API Server as interface for using Backend service Apps API Server https://10.10.10.10/resource/1 SELECT * FROM resource SELECT * FROM resource2 {“data1”: 123} {“data2”: “abc”} {“data1”: 123, “data2”: “abc”} DNS Lookup apiserver.com 10.10.10.10 Get https://apiserver.com/resource/1
- 23. V. Build, release, run • Build : code repo + vendors dependencies + binaries and assets • Release : Build output + config • Run : Launching set of the app’s processes against a selected release
- 24. V. Build, release, run • Use strict separation between the build, release, and run stage How to handle Build, release, run
- 25. V. Build, release, run
- 26. VI. Processes • Execute the app as one or more stateless processes • Processes are stateless and share-nothing
- 27. VI. Processes • Never assumes that anything cached in memory or on disk will be available on a future request or job • Any data that needs to persist must be stored in a stateful backing service, typically a database • Web systems should never be used or relied upon ““sticky sessions” • Session state data is a good candidate for a datastore that offers time- expiration, such as Memcached or Redis How to handle Processes
- 28. VII. Port binding • Export services via port binding • One app can become the backing service for another app
- 29. VII. Port binding • Ex) • http://main-portal.com/users/laeshiny >> http://main- portal.com:5001/users/laeshiny • http://main-portal.com/config/app1 >> http://main- portal.com:5002/config/app1 How to handle Port binding
- 30. VIII. Concurrency • Scale out via the process model • The application must also be able to span multiple processes running on multiple physical machines
- 32. VIII. Concurrency • Should never daemonize or write PID files. • Rely on the operating system’s process manager • manage output streams • respond to crashed processes • handle user-initiated restarts and shutdowns • ex) Upstart, Foreman, Systemd • Demo How to handle Concurrency
- 33. IX. Disposability • Be disposable, meaning they can be started or stopped at a moment’s notice • Maximize robustness with fast startup and graceful shutdown • This facilitates fast elastic scaling, rapid deployment of code or config changes, and robustness of production deploys
- 34. IX. Disposability • Processes should strive to minimize startup time • Processes shut down gracefully when they receive a SIGTERM signal from the process manager • A web process ceases to listen on the service port (thereby refusing any new requests), allowing any current requests to finish, and then exiting • A worker process returns the current job to the work queue • Processes should also be robust against sudden death, in the case of a failure in the underlying hardware How to handle Disposability
- 35. X. Dev/prod parity • Keep development, staging, and production as similar as possible • developer resists the urge to use different backing services between development and production Traditional app Twelve-factor app Time between deploys Weeks Hours Code authors vs code deployers Different people Same people Dev vs production environments Divergent As similar as possible
- 36. XI. Logs • Logs are the stream of aggregated, time-ordered events collected from the output streams of all running processes and backing services • Logs provide visibility into the behavior of a running app • Treat logs as event streams
- 37. XI. Logs • Never concerns itself with routing or storage of its output stream • In staging or production deploys, each process’ stream will be captured by the execution environment, collated together with all other streams from the app, and routed to one or more final destinations for viewing and long- term archival • Demo • Fluentd How to handle Logs
- 38. XII. Admin processes • Run admin/management tasks as one-off processes • One-off admin processes should be run in an identical environment as the regular long-running processes of the app • The same dependency isolation techniques should be used on all process types • Strongly favors languages which provide a REPL shell out of the box, and which make it easy to run one-off scripts
- 39. Summary • Scalable • Easy Management • I. Codebase • II Dependencies • III. Config • IV. Backing services • V. Build, release, run • VI. Processes • VII. Port binding • VIII. Concurrency • IX. Disposability • X. Dev/prod parity • XI. Logs • XII. Admin processes
- 40. 12 Factors App Check List Use VCS(subversion, git, ....) Execution environment is isolated It is easy to access Backend Service Build, Stage, Run environment is sperated Use Process Manager to manage the application Support short startup time and graceful shutdown Dev environment is identical to prod environment Collect logs in the datastore by the another app.
- 41. Want to talk more
- 42. Thank you for your attention