給 RD 的 Kubernetes 初體驗
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The document outlines a Kubernetes workshop conducted by William Yeh, focusing on hands-on labs for developing skills in containers, microservices, and cloud deployment. It includes detailed instructions for setting up Google Kubernetes Engine (GKE) clusters and provides links to lab materials, emphasizing the importance of understanding image versions and code differences. The agenda also highlights various lab sessions, covering legacy applications, Docker, and Kubernetes configurations.
給 RD 的 Kubernetes 初體驗
- 1. Technical Manager @ Titansoft William Yeh 葉秉哲 給 RD 的 Kubernetes 初體驗 … with a series of hands-on labs
- 2. PhD in Computer Science, NCTU, Taiwan CSPO (Certified Scrum Product Owner) from Scrum Alliance PSM I (Professional Scrum Master I) from Scrum.org Technical manager @ Titansoft (since Mar 2019) Server director & Scrum master @ Gogolook Active speaker and trainer for software architecture, DevOps, agile, and theory of constraints
- 4. Containers Microservices Cloud Agenda Labs 1.0 — 3.0 4.0 — 5.0 6.0 — 7.0
- 5. Agenda Know promising trends Adopt gradually Prepare mindset Goals Containers Microservices Cloud Labs 1.0 — 3.0 4.0 — 5.0 6.0 — 7.0
- 6. Lab material For each revision, pay attention to: 1. image versions 2. diff in code and configuration Use git log -p or GitHub to see diff between revisions.
- 7. Lab material https://github.com/William-Yeh/ workshop-cloud2019 or http://bit.ly/lab-cloud2019 for short 1. Open browser 2. Git clone to your laptop
- 8. GKE Setup🄌 a - Redeem Google Cloud coupon b - Create project in GCP c - Create GKE cluster
- 9. Redeem coupon Please follow steps in your handout NOW!
- 10. Create Project in GCP https://github.com/William-Yeh/ workshop-cloud2019/ gke-steps.md or, https:// console.cloud.google.com/ projectselector2/kubernetes
- 12. Containers 1.0 - Legacy 2.0 - Docker 3.0 - Frontend/backend separation ❶
- 13. Why containers?
- 14. Lab material https://github.com/William-Yeh/ workshop-cloud2019 or http://bit.ly/lab-cloud2019 for short Switch to version 1.0 for now!
- 15. Lab # 1.0 Legacy
- 16. app runtime OS kernel app runtime OS kernel app runtime OS kernel Boundary of application packaging: pros and cons traditional deployment way container virtual machine
- 17. Lab # 2.0 Docker
- 18. Lab # 3.0 Frontend/backend separation
- 19. app runtime OS kernel app runtime OS kernel app runtime OS kernel Recap: containers as application packaging units traditional deployment way container virtual machine
- 20. Microservices 4.0 - Local Kubernetes 4.1 - Kubernetes dashboard 5.0 - Configuration ❷
- 21. Why make services micro? pros? cons?
- 22. Lab material 4.0 - Local Kubernetes 4.1 - Kubernetes dashboard 5.0 - Configuration For each revision, pay attention to: 1. image versions 2. diff in code and configuration
- 23. Kubernetes Terminology “Kubernetes 101: Pods, Nodes, Containers, and Clusters” Author: Daniel Sanche Date: 2018-01-02 URL: https://medium.com/google-cloud/kubernetes-101-pods- nodes-containers-and-clusters-c1509e409e16 (or http://bit.ly/post-k8s-101 for short)
- 24. Container
- 26. • Shared volumes • IPC • Network https://linchpiner.github.io/k8s-multi-container-pods.html Multi-Container Pods in Kubernetes Pod Container
- 30. Kubernetes Terminology Learn by doing!
- 31. Lab material 4.0 - Local Kubernetes 4.1 - Kubernetes dashboard 5.0 - Configuration For each revision, pay attention to: 1. image versions 2. diff in code and configuration
- 32. Lab # 4.0 Local Kubernetes
- 33. Lab # 4.1 Kubernetes dashboard
- 34. Lab # 5.0 Configuration
- 35. _v2 Service container pod deployment service Recap: containers as application packaging units 3
- 36. Cloud 6.0 - Cloud (GKE for example) 7.0 - Canary release ❸
- 37. Lab # 6.0 Cloud (GKE for example)
- 38. Lab # 7.0 Canary release
- 41. Conclusion
- 42. app runtime OS kernel app runtime OS kernel app runtime OS kernel Recap: containers as application packaging units traditional deployment way container virtual machine
- 44. Agenda Know promising trends Adopt gradually Prepare mindset Goals Containers Microservices Cloud Labs 1.0 — 3.0 4.0 — 5.0 6.0 — 7.0