The document summarizes a workshop on Kubernetes hands-on labs conducted by William Yeh. It introduces containers, Kubernetes concepts and terminology. It then outlines 7 labs covering: 1) legacy deployment, 2) Docker, 3) frontend/backend separation, 4) local Kubernetes setup, 5) Kubernetes configuration, 6) deployment on Google Kubernetes Engine (GKE), and 7) canary release deployment. Each lab section summarizes the key tasks, differences from previous versions, and solicits any questions. The conclusion recaps containers and Kubernetes concepts covered.

1. Technical Manager
William Yeh 葉秉哲
給 RD 的 Kubernetes 初體驗
… with a series of hands-on labs
2019-06-16

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
Kubernetes
Cloud

4. Containers
Kubernetes
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
Kubernetes
Cloud
Labs
1.0 — 3.0
4.0 — 5.0
6.0 — 7.0

6. Lab material
See the demo first!

7. Lab material
For each revision, pay attention to:
1. image versions
2. diff in code and configuration
Use git diff --stat HEAD~1 HEAD
to see diff between revisions.
Tag
1.0
2.0
3.0
4.0
4.1
5.0
6.0
7.0

8. Lab material
https://github.com/William-Yeh/workshop-gcpug
201906
or http://bit.ly/gcpug201906 for short
1. Open browser
2. Git clone to your laptop

9. GKE Setup🄌
a - Redeem Google Cloud coupon
b - Create project in GCP
c - Create GKE cluster

10. Redeem coupon
Please follow steps in your handout
NOW!

11. Create Project in GCP
workshop-repo / gke-steps.md
or,
https://console.cloud.google.com/projectsel
ector2/kubernetes

12. Create GKE cluster
workshop-repo / gke-steps.md

13. Containers
1.0 - Legacy
2.0 - Docker
3.0 - Frontend/backend separation
❶

14. Why containers?

15. Lab # 1.0 Legacy

16. Lab # 1.0
git checkout 1.0
git log

17. Lab # 1.0 Review
a. Architecture
b. Main tasks
c. Diff
d. Tricks
e. Questions?

18. app
runtime
OS kernel
app
runtime
OS kernel
Boundary of application packaging:
pros and cons
traditional deployment way
virtual machine

19. app
runtime
OS kernel
app
runtime
OS kernel
app
runtime
OS kernel
IaC (Infra as Code)
traditional deployment way
IaC tools
● Chef
● Puppet
● Ansible
virtual machine

20. app
runtime
OS kernel
app
runtime
OS kernel
app
runtime
OS kernel
Containers as application packaging
units
traditional deployment way
container
virtual machine

21. Lab # 2.0 Docker

22. Lab # 2.0
git checkout 2.0
git log
git diff --stat HEAD~1 HEAD

23. Lab # 2.0 Review
a. Architecture
b. Main tasks
c. Diff
d. Tricks
e. Questions?

24. Lab # 3.0 Frontend/backend separation

25. Lab # 3.0
git checkout 3.0
git log
git diff --stat HEAD~1 HEAD

26. app
runtime
OS kernel
app
runtime
OS kernel
app
runtime
OS kernel
Recap:
containers as application packaging units
traditional deployment way
container
virtual machine

27. Lab # 3.0 Review
a. Architecture
b. Main tasks
c. Diff
d. Tricks
e. Questions?

28. Kubernetes
4.0 - Local Kubernetes
4.1 - Kubernetes dashboard
5.0 - Configuration
❷

30. 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

31. 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-c
ontainers-and-clusters-c1509e409e16
(or http://bit.ly/post-k8s-101 for short)

32. Container

33. Pod
Container
Any examples?

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

35. Deployment & Replicalabel
selector

36. _v2
Service
label
selector
3
label

37. _v2
Service
container
pod
deployment
service
3

38. Kubernetes
Terminology
Learn by doing!

39. 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

40. Lab # 4.0 Local Kubernetes

41. Lab # 4.0
git checkout 4.0
git log
git diff --stat HEAD~1 HEAD

42. Lab # 4.0 Review
a. Architecture
b. Main tasks
c. Diff
d. Tricks
e. Questions?

43. CAUTION
● There’s one big issue in this Lab 4.0
Can you see?
● What if a image changes but version
tag remains unchanged?

44. Lab # 4.1 Kubernetes dashboard

45. Lab # 5.0 Configuration

46. Lab # 5.0
git checkout 5.0
git log
git diff --stat HEAD~1 HEAD

47. _v2
Service
container
pod
deployment
service
Recap:
containers as application packaging units
3

48. Lab # 5.0 Review
a. Architecture
b. Main tasks
c. Diff
d. Tricks
e. Questions?

49. Cloud
6.0 - Cloud (GKE for example)
7.0 - Canary release
❸

50. Lab # 6.0 Cloud (GKE for example)

51. Lab # 6.0
git checkout 6.0
git log
git diff --stat HEAD~1 HEAD

52. Lab # 6.0 Review
a. Architecture
b. Main tasks
c. Diff
d. Tricks
e. Questions?

53. Lab # 7.0 Canary release

54. Lab # 7.0
git checkout 7.0
git log
git diff --stat HEAD~1 HEAD

55. Service
label
selector

56. _v2
Service
label
label
3
selector

57. Lab # 7.0 Review
a. Architecture
b. Main tasks
c. Diff
d. Tricks
e. Questions?

58. Conclusion

59. app
runtime
OS kernel
app
runtime
OS kernel
app
runtime
OS kernel
Recap:
containers as application packaging units
traditional deployment way
container
virtual machine

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

61. Agenda
Know promising trends
Adopt gradually
Prepare mindset
Goals
Containers
Kubernetes
Cloud
Labs
1.0 — 3.0
4.0 — 5.0
6.0 — 7.0

62. Not told today
Session affinity
https://medium.com/@diegomrtnzg/redirect-your-users-to-the-same-pod
-by-using-session-affinity-on-kubernetes-baebf6a1733b
StatefulSet
https://godleon.github.io/blog/Kubernetes/k8s-StatefulSets-Overview
/
Persistent Volume & Claim
https://godleon.github.io/blog/Kubernetes/k8s-PersistentVolume-Over
view/

64. ●