This document summarizes Continuous Delivery with Jenkins and Kubernetes at Sky. It discusses building smart deployment pipelines that standardize processes and are independent of technology or infrastructure. It also covers decoupling applications from the target infrastructure using container-based deployments on Kubernetes. The agenda includes demonstrating these approaches and discussing next steps like open sourcing the Jenkins job DSL generator and automating Jenkins master redeployment.

1. Continuous Delivery with Jenkins & Kubernetes @ Sky
Adriana Vasiu

2. 2
Who am I ?
• Principal Software Engineer @ Sky
• Polyglot developer
• Speaker

3. 3
Agenda
• Building smart deployment pipelines
• Decoupling from infrastructure
• Demo
• Next Steps

4. The Problem

5. 5
Requirements & Constraints for the Platform
Requireme
nts &
Constraint
s
Microservices
Java Apps
Dev Ops
Unavailable
Changing
infrastructure
Parallel Teams
Python Apps

6. Step A. Build a Smart Deployment Pipeline

7. 7
Standardised pipelines
• Easy bootstrap for components
• Automatic creation of jobs and pipelines
• Independent of platform as a service
• Independent of component technology

8. 8
Pipeline - Path to Production

9. 9Tools & Plugins
• Jenkins - version 1.651.2
• Job DSL Plugin - version 1.48
• Custom Groovy DSL jobs generator
• Docker for Jenkins master & slaves
• Kubernetes for deployment of Jenkins
master & slaves
• Jenkins Kubernetes Plugin - version 0.7

10. 10
Building Steps
App implements pipeline step
DSL generates the standard pipeline
App specifies pipeline type

11. 11
App Config for the Pipeline
projects:
service-demo:
pipeline: prod
monitor-namespaces:
- canary
- production
service-demo-mocks:
pipeline: mocks

12. 12
Example of Groovy DSL for Jenkins
job(’01-Build-service-demo') {
scm {
git(gitUrl)
}
triggers {
scm('*/15 * * * *')
}
steps {
gradle {
tasks(":ciBuild")
useWrapper(true)
}
}
}

13. Step B. Decouple from your Target Infrastructure

14. 14
Container Based Deployment

15. 15
Kubernetes Architecture

16. 16
Why Kubernetes?
• orchestrates containers
• self-healing: auto-placement, auto-restart, auto-replication, auto-scaling
• portable: public, private, hybrid, multi-cloud

17. 17
Decoupled Deployments?
Custom Gradle Platform Plugin
Packaging DeploymentPromotionPublishing

18. Short Summary

19. 19
Summary
• Pipeline generation
• Quality gates - standardised
• No more manual changes on CI server
• Flexibility for each app to define steps
• Works for different technologies (Gradle wrapper)
• New apps are easy to bootstrap
• Platform abstraction
• Decouples apps from infrastructure

20. Demo

21. Next Steps

22. 22
Future Improvements
• Open Source Jenkins DSL Jobs Generator
• Look into Jenkins 2.+
• Automate Jenkins master re-deployment on a change to the image

23. 23
Sources
• https://github.com/kubernetes/kubernetes
• http://kubernetes.io
• https://github.com/jenkinsci/job-dsl-plugin
• https://github.com/jenkinsci/kubernetes-plugin

24. Thank you!
@vasiu_adriana