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Deploying Often

Deploying Often. About Me. Doing agile since 1999 Start ups / Enterprises Planigle - Consulting and Training Qcue – VP, Engineering. Case Study: Qcue. SAAS Small team ( DevQAOps ) D eploy every weeknight (for 2 years) Automation and monitoring are key Lots of small issues

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Deploying Often

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  1. Deploying Often

  2. About Me • Doing agile since 1999 • Start ups / Enterprises • Planigle - Consulting and Training • Qcue – VP, Engineering

  3. Case Study: Qcue • SAAS • Small team (DevQAOps) • Deploy every weeknight (for 2 years) • Automation and monitoring are key • Lots of small issues • Few big issues

  4. Agenda • Why do it? • Prerequisites • Getting Good At It

  5. Value Before Continuous Deploy • A lot of the literature focuses on going “all the way” • You get a lot of value before that • And it is much easier!

  6. Customer Benefits • Can turn around fixes / small features quickly • Able to give feedback incrementally

  7. Engineering Benefits • Easy to narrow down what caused the problem • Easy to fix • Known stability

  8. What if I don’t do SaaS? • Deploy to an internal server instead • Use data typical of production • QA, Prod Mgmt, etc. can use it • Everything else can still apply

  9. Downsides • Every deploy can crash and burn • Have to be vigilant • If done poorly, can spend all your time recovering

  10. Prerequisites – Testing • Unit tests • Integration tests • Ability to see what it will look like in production

  11. Prerequisites – Deployment • Automated build • Notification on failure • Promote last build that passes

  12. Prerequisites – Monitoring • Web site / User monitoring • Application / Guts monitoring • Log monitoring

  13. Prerequisites – Processes • What if deployment fails? • What if your server crashes? • What if data is corrupted? • What if a critical error gets deployed?

  14. Getting Good At It / Tips and Tricks • Defects are the first priority • Identify / fix the root cause • Identify / repair holes in testing / monitoring • Small stories help • Code reviews / pair programming • Retrospect often and change • Don’t be disruptive • Communicate early and often!

  15. What if it is TOO BIG? • Break into increments • Make it admin only • A few customers at a time

  16. What if it is too risky? • Identify risky areas • Vary process by riskiness • Anyone can block the deploy

  17. Messaging to Customers • Release and Marketing can be distinct • Fine grained vs. large grained communication

  18. Resources • Walter Bodwell • Planigle • wbodwell@planigle.com • Twitter: @wbodwell • www.planigle.com • www.walterbodwell.com

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