雲原生實踐步驟 @ Cloud Native Forum 2019-10-09

1. Cloud Native Practice
鄭淳尹(Philipz) 2019-10-09
Docker.Taipei 共同發起人

2. About Me
◆ 開源愛好者，網管人雜誌技術專欄作家
◆ 國泰金控 DDT 數位架構發展部 技術架構師
◆ 經歷：momo購物網、臺北榮總、玉山銀行等
◆ 翻譯審閱多本容器技術書籍

3. What’s Cloud Native?

4. What’s Cloud Native?
A cloud-native (or cloud-based) application is
the one which is created in the cloudand
is builtas microservices
packaged in containers.

5. How to DO?

6. Step 1.
Version Control

7. Version Control
● Source Code
● SA/SD/PG Document
● DB Schema
● Application Configuration
● Configuration Management
○ Terraform
○ Ansible
● And so on.
● GitOps

8. Step 2.
CI Pipeline

9. CI Pipeline
● Let programmers do the coding well.
● Unit Test, Mock Test
● Code Quality Analysis Tools - SonarQube...
● TDD - Test Driven Development
● Jenkins X, GitLab-CI, Travis CI, CircleCI, GitHub Actions…
● Automating Workflow

10. Step 3.
Stateless

11. Stateless
● Horizontal Auto Scaling
● Sharing Session
● Remove Hard Coded config.
● Keys & Certificates
● Service Registry & Discovery
○ Multi-K8S or Hybird Cloud Application
○ Consul https://www.consul.io
● Logs forwarding & Collection
○ Logstash
○ Fluentd
○ DynaTrace

12. Step 4.
Containerization

13. Containerization
● Dockerfile or By Building Tools
● Real Container
○ One Container
○ One Customer
○ One Commodity
● Software Container
○ One Container
○ One Process
● VM-style Container
● Container is a Process, K8S is Systemd.
BuildKit img Buildah
MakisuKaniko Bazel S2I
Docker
Container Building Tools

14. Step 5.
Common Services

15. Common Services
● Each common service should have its own API access layer.
● Cache - Redis
● RDB
● NoSQL
● Event Bus & Queue - Ka a
● Storage
○ Block
○ Object
● Use VM or Container?

16. Step 6.
Kubernetes

17. Kubernetes
● Immutable infrastructures & Phoenix Server
● Public Cloud - KaaS
● CI Pipeline
● The master nodes in VM, the work nodes on bare metal.
● Never put all your eggs in one cluster.

18. Step 7.
Observability

19. Observability
● Tracing, aka distributed tracing - Zipkin
● Metrics - Pinpoint
● Logging Collection - ELK, EFK, Splunk
● APM
● OpenTracing + OpenCensus = OpenTelemetry
○ https://opentelemetry.io/

20. Step 8.
Monitoring

21. Monitoring
● Fault isolation is difficult.
○ What Is Root Cause? In application, network, or OS layer???
● Health Check by K8S
● Post-mortem
● Fault Pattern
● Prometheus, Netdata, Zabbix
● Predict & Alert, osquery
● SRE & Chaos Engineering

22. Step 9.
DDD

23. Domain Model
Java
DDD

24. Domain Driven Design
● By Eric Evans, 2004
● Decomposition Patterns
○ By Business Capability
○ By Subdomain
● SOLID principle
● Archteture Patterns
○ CQRS
○ Event Sourcing
○ Saga

25. Step 10.
Microservices &
Serverless

26. Microservices Patterns

27. Microservices Patterns

28. Microservices & Serverless Arch.
From: Azure Architecture Center
GitLab CI

29. Step 11.
Cloud

31. Cloud Strategy
From: Slicing the hybrid cloud elephant

32. Common
Services
μs
μs
Public Cloud API
Cloud

33. Step 12.
Reconstructing

34. Stone Soup for the Enterprise

36. Responsibilities of
Architects
How to build a technology platform
The Architect Elevator — Visiting the upper floors

37. Open Source Challenge

41. There are known
unknows, and there
are unknown
unknows.

43. Thank you.
Q&A