✭✭ NOTE: a revised version of this lab is available at https://www.slideshare.net/williamyeh/rd-kubernetes-gdg-cloud-kh-201908-version ✭✭ 90-Minute Workshop held at Taiwan Cloud Edge Summit 2019 (台灣雲端大會). * 課程簡介 Kubernetes 是目前雲端環境的顯學。可是，傳統的程式，並不是原封不動搬上去，就能夠自動享受 Kubernetes 所宣稱的種種好處。 新的環境，不僅需要新的 Ops 思維，也需要新的 Dev 思維。我們將以一個半小時的時間，從軟體研發者的角度，探討軟體的設計該做哪些最起碼的改變，從實作中體驗 Kubernetes 引進的新觀念及新效益。 * 課程目標 從實例中體驗，傳統 web 應用程式在搬上 Kubernetes 時，可能會經歷哪些架構面的調整，才能享受新架構的效益： - 容器化 - 微服務 - 組態管理 - 多重環境管理：本機端與雲端（以 GKE 為例）

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

3. Agenda
Containers
Microservices
Cloud

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

11. Create GKE cluster
https://github.com/William-Yeh/
workshop-cloud2019/
gke-steps.md

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

25. Pod
Container
Any examples?

26. • Shared volumes
• IPC
• Network
https://linchpiner.github.io/k8s-multi-container-pods.html
Multi-Container Pods in Kubernetes
Pod
Container

27. Deployment & Replicalabel
selector

28. _v2
Service
label
selector
3
label

29. _v2
Service
container
pod
deployment
service
3

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

39. Service
label
selector

40. _v2
Service
label
label
3
selector

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

43. _v2
Service
container
pod
deployment
service
label
label
3
selector

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