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DWX 2017 - DevOps by examples


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DevOps by examples session at Developer Week 2017 (Nürnberg)

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DWX 2017 - DevOps by examples

  1. 1. DevOps by examples Giulio Vian @giulio_vian
  2. 2. This Session 100/200-level Grasp the essentials of the DevOps approach. (well …, some essentials) Leave open questions to the end 2
  3. 3. What we will talk about? DevOps intro Demos Environment hosting the app The Application itself Deployment Dynamic configuration Wrap-up 3 OpsDev
  4. 4. About me 4
  5. 5. Most recent project 2M users 40,000 RPS 2Gbps 5 © 2016 IMG Universe, LLC. All Rights Reserved
  6. 6. Your turn Azure Visual Studio Team Services (VSTS) ASP.NET Linux (Ubuntu) Developers Infra Engineers Architects Managers 6
  7. 7. «Appetizer» 7
  8. 8. DevOps is a product? 8
  9. 9. DevOps is a job? 9
  10. 10. DevOps is a culture, movement or practice DevOps is a term used to refer to a set of practices that emphasizes the collaboration and communication of both software developers and other information- technology (IT) professionals while automating the process of software delivery and infrastructure changes. DevOps represents a change in IT culture, focusing on rapid IT service delivery through the adoption of agile, lean practices in the context of a system-oriented approach. DevOps emphasizes people (and culture), and seeks to improve collaboration between operations and development teams. DevOps implementations utilize technology — especially automation tools that can leverage an increasingly programmable and dynamic infrastructure from a life cycle perspective. DevOps is the union of people, process, and products to enable continuous delivery of value to our end users. Wikipedia (2017) Gartner Microsoft (Donovan Brown) 10
  11. 11. Continuous Delivery evolution… Source: Jez Humble © 2010 11
  12. 12. …rooted in Agile Principles… Individuals and interactions over processes and tools Working software over comprehensive documentation Customer collaboration over contract negotiation Responding to change over following a plan
  13. 13. …giving back 13 Source: Felice Pescatore Value Collaboration Agile Development Continous Integration Continous Delivery DevOps
  14. 14. «Main course» Where? Infrastructure-as-Code What? Build & Package How? Deploy 14
  15. 15. Execution environment Operating System O.S. Modules Local Services, Libraries Application Network & External Services Data 15
  16. 16. Execution environment (alt) Base container Custom Container Application (in container) Network & External Services (e.g. Kubernetes) Data 16
  17. 17. Execution environment – Comments Setup times vs. launch times Capacity planning Running costs (Buy vs. Make) 17
  18. 18. Infrastructure-as- Code Azure Resource Manager • Code • Automation 18
  19. 19. Infrastructure-as-Code – Comments Declarative vs. Imperative Version Control Continuous Integration Dynamic vs. Static Azure Resource Manager Declarative Json-based Extensible (script, DSC) Entire infrastructure AWS CloudFormation Declarative Json-based Terraform Docker Not much declarative Single container Swarm, Kubernetes, Mesos, … Ansible, Puppet, Chef, CFEngine, … 19
  20. 20. Application Web page showing DB data • Environment • Configuration 20
  21. 21. Build & Packaging Collect everything 21
  22. 22. Build & Packaging – Comments Version Control Continuous Integration Artifacts Semantic Versioning Images (Docker, AMI, Azure VM images) 22
  23. 23. Deploy VSTS Release Management • Controlled Automation 23
  24. 24. Secrets Build time Signing Deploy time Credentials Run time Tokens Avoid exposures git push hook Static analysis .gitignore Centralized Version Control Distinct repositories Azure Key Vault, AWS Key Management Service, etc. 24
  25. 25. Deploy – Comments Category Dev / QA / Prod Target-bound Release cadence Feature toggles 25 Source: Pete Hodgson
  26. 26. Database Invest early Improve 26 (Photo: Coonan, Inc.)
  27. 27. Dynamic Configuration Feature Toggle 27
  28. 28. So far 28 OpsDev
  29. 29. Application Monitoring Errors Performance Availability Scalability Analytics App Insight HockeyApp ELK ElasticSearch+LogStash+Kibana Splunk BugSense Fabric Firebase New Relic … 29
  30. 30. Troubleshooting & Feedback loop Access to production Read-only Debug Sensitive production data Design/architecture Quality of data Those Precious PDBs 30
  31. 31. More VSTS – Azure Links DevTest labs Deployment Load testing 31
  32. 32. «Dessert» 32
  33. 33. People (Photo: DoD) 33
  34. 34. Automation (Photo: Alexander Dummer) 34
  35. 35. Resources 35 (Photo: Elya)
  36. 36. Call to action 36 (Photo: Francesco Canu)
  37. 37. Partial checklist Where is configuration stored? How is configuration updated? Is production configuration isolated and secured? Where are the secrets and who can access them? How versions are tracked? Who authorizes changes and how? How data is preserved on updates? How data schema and module interfaces updates? Using environment images or scripts? How big is the deploy window? How are the tracked activities and errors? How are operational data is collected from production? 37
  38. 38. Bibliografy & References team-services/ 38
  39. 39. To know more Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation — J.Humble, D.Farley (Addison-Wesley) Delivery/dp/0321601912/ The Phoenix Project — G.Kim, K.Behr, G.Spafford (IT Revolution Press) DevOps-Helping-Business/dp/0988262509/ 39
  40. 40. To know more (cont’d) The DevOps Handbook — G.Kim, P.Debois, J.Willis, J.Humble (IT Revolution Press) Handbook-World-Class-Reliability- Organizations/dp/1942788002/ Continuous Delivery with Visual Studio ALM 2015 — M.Olausson, J.Ehn (Apress) Delivery-Visual-Studio-2015/dp/1484212738/ 40
  41. 41. End of transmission 41