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Rise of the bots:
Deploying applications through ChatOps
Charlie de Courcy
DevOps Engineering Manager
You write the code.
We automate your infrastructure.
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ChatOps
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Demo Components
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Charlie de Courcy (Rackspace) - Deploying applications through ChatOps

Editor's Notes

  1. From: http://www.rackspace.co.uk/devops/automation-service Our vision / aspirational statement. Bold ambition. Go as close to the application as possible. What does this mean? Ease of use – visibility. How far can we go to make DevOps easy? Reactiveness in to loads and peaks. POC use case, impacting our customer base.
  2. Trialling in beta with DevOps customers Combining DevOps with Fanatical support, exploring with customers. Allowed fast collaborative working with customers during their onboarding when high touch engineering is required. Plugins for everything, but also being able to create your own plugins / bots User story of building to deploy, high visibility of the entire release cycle, from development, through testing, release and APM.
  3. Slack and a bot Ruby Interfaces with the user External service hooks (new relic, github, chef) New Relic: Monitoring Alerting Drives auto scale behaviour Rackspace: Cloud Servers Cloud database Orchestration Stacks / HEAT Not live: Monitoring data With an APM, react to trends. Orchestrate workflows ahead of time. What the audience will see
  4. Customer’s application – Drupal 7
  5. Bot functionality
  6. Deploying in to the staging environment
  7. Bot triggers build, connects to openstack
  8. Don’t have to leave the chat, but can see the effect in the Rackspace control panel
  9. Components defined in the HEAT template
  10. Load balancer is configured, we’ve asked for SSL offloading
  11. Database is getting created, restoring from a static file
  12. The HEAT template has defined some information to be shown, in this case webhook information and the LB IP
  13. Autoscale group is configured, nodes are built
  14. Chef runs to configure the nodes with Apache, php-fpm
  15. When they’ve been configured they become active in the load balancer pool
  16. We can load the website as the DNS was also changed automatically
  17. Applications are configured by the HEAT template to report in to newrelic
  18. Good response times
  19. Release version 2 (tag in github) that the developers have been working on
  20. Chef loads over the top of the existing nodes to put the new application live
  21. We can see the application deployment
  22. We can see the specific change and that apdex has been negatively affected
  23. Spike in transaction time
  24. Apdex drops
  25. We can see mysql is to blame
  26. See the history of this transaction
  27. Where it’s executed from in php
  28. Even the SQL statement
  29. Alert has fired as apdex has dropped
  30. Force the application back to v1
  31. Everything is back to normal following the second version release
  32. Configure what is going to happen when there’s an alers
  33. Alert on apdex, we can raise a support ticket for this too
  34. Rudimentary load test
  35. Can see that the load has risen and an alert has fired based on falling apdex
  36. Channel is updated with newrelic alert and autoscale event
  37. Returns to normal, alert is closed
  38. Alert clears, downscale event happens
  39. Explain the process of deploying infrastructure using blue / green deployments behind cloud load balancers. Create a new production environment alongside the application, transfer user traffic to the new environment. Heavy in investment but you can change in ms. Database driven, when needing typically slower migrations
  40. Create our production environment, but don’t switch DNS or create DB
  41. Production stack built
  42. No DNS / DB
  43. Built and configured by chef
  44. Can do the DNS change to put the production live from a mobile phone!
  45. And the site is live
  46. Call to action: See us at the pavilion, see the demo in action, discuss how we’re doing DevOps for customers.