Automating the application lifecycle.pptx
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The document outlines the automation of the application lifecycle, focusing on goals for development, deployment, production, and analysis. Key elements include one-click processes, continuous builds, automated monitoring, and rollbacks to prevent issues while enhancing user experience. Overall, it emphasizes the necessity of automatic notifications, proactive problem resolution, and data-driven decision-making throughout all stages of application management.
Automating the application lifecycle.pptx
- 1. Automating the Application Lifecycle Devan Stormont
- 2. “Big Picture” Goals What should we be aiming for? ■ Don’t try to do everything perfectly ■ Do tighten every feedback loop to respond as quickly as possible to problems
- 3. Goals in Practice How do we accomplish this? ■ One-click manual steps ■ Monitoring results at every phase ■ Automatic reporting or action
- 5. Development ■ One-click builds ■ Continuous builds ■ Test suites ■ Static code analysis Deployment ■ One-click deployments ■ Minimizing down time ■ Monitoring rollout health ■ Incremental node rollout Production ■ Instance health ■ Process/service health ■ Third-party service health ■ User activity Analysis ■ Automatic data collection ■ Scheduled analysis ■ Report notifications ■ Automatic rollbacks
- 6. Development
- 7. Development The primary goals of development automation are: ■ Notify developers of the error(s) ■ Prevent bad code from being released
- 8. Development (There shouldn’t be anything new here to most developers) ■ One-click (or one-command) builds Ideally, this is exactly the same regardless of developer OS ■ Sanity checks proactively fail builds Unit testing Property testing Static code analysis ■ Continuous builds systems More thorough functional/integration tests Every customer-reported issue should have an automated regression test! Deeper code analysis
- 9. Development - Feedback Loop (There shouldn’t be anything new here to most developers) ■ Developer systems: Failed builds should prevent code check-ins ■ Continuous builds failures Send out notifications Automatically roll back check-ins to release branches Alternatively, success automatically integrates into release branches Push system - the system is the gatekeeper■ Continuous builds also generate reports about lower-threshold warnings Static code analysis, test code coverage Pull system - up to developers to be pro-active Minimize these as much as possible!
- 12. Deployment The primary goals of deployment automation are: ■ Automatically push out changes ■ Actively monitor rollout for problems ■ Automatically roll back to known good states
- 13. Deployment ■ One-click (one-command) automatic rollouts Should be staged across instances/regions Should minimize down time - hot swap! ■ Monitor rollout health Node availability Process/service availability Data migration health ■ Failure thresholds Developer notifications Rollouts automatically unwind to known-good states
- 14. Deployment With enough seamless monitoring in place: ■ Deployments should be invisible to users ■ A “good” code check-in can automatically drive a new deployment
- 17. Production The primary goals of end-user production automation are: ■ Monitor for problems ■ Proactively address problems ■ If necessary, roll back to known good states
- 18. Production There are two distinct elements to monitoring in production ■ Detecting system problems ■ Monitoring users
- 19. Production ■ System monitoring Notifications if systems/instances go down or are overloaded Automatically scale up new resources upon need ■ Service watchdogs Automatic service restarts Capture and storage of logs Pushed by client, service, or cron job/scheduled task ■ Third-party APIs Periodically check health/accessibility Notifications upon failure A problem with a necessary third-party service is a problem for your service
- 20. Production ■ User monitoring How many users are active? What services are those users using? What services are users hitting errors with? ■ Extended user monitoring Email Social media App store reviews Automatic notifications!■ Users like interaction - people like to be noticed Immediate, graceful interaction is likely to earn positive public feedback Even from users who were complaining about a problem!
- 21. Production Resolve problems ■ Automatically spin up/down resources to adapt to user load ■ Proactive notifications about errors ■ For critical issues, allow the production environment to automatically rollback to the last known-good state ■ Users who feel like you helped them personally are likely to become your evangelists
- 24. Analysis The primary goals of analysis automation are: ■ Proactive, early warning of known problems Notifications of significant issues Automatically resolving where possible Unwinding bad deployments upon certain thresholds ■ Ability to more easily detect unknown problems Requires prior collection of good enough information to resolve Usually feeds into the next development iteration ■ Really touches all of the previous pieces, as already shown
- 25. Analysis ■ Really touches all of the previous pieces, as already shown Listed here because analysis should be treated as a first-class citizen ■ If you’re not driving development (or even features) through the use of measurement, all you’re really doing is educated guessing Not this problem Fix this problem first
- 26. Recap - Problem Resolution The main points applicable to every stage ■ Automatic notifications of failures ■ Rollback to known-good state ■ Automatic resource scaling (up/down) What this buys us ■ Immediate visibility to every link in the chain ■ Rapid, iterative releases for problem resolution ■ Rapid learning about your users