The shipping containers were introduced around 1830s and since then they play a crucial role in the modern society by providing efficient packaging, storage and transportation. Today we see the same revolution happening in the DevOps world with the adoption of container technologies like Docker. They allow us to package, distribute and run software in a scalable and efficient way. In this talk we’ll see how we can abstract the common problem we solve everyday when building scalable Java APIs with Docker into design patterns to create reusable solutions. We’ll explore the good practices of writing Java applications with Docker. Then we’ll see how each design pattern can be applied in real scenarios that address different concerns that a large system creates. We’ll see some real life implementations of those patterns and how they help us solve problems in scalable systems. By the end of the talk we’ll have a very powerful abstraction to tackle the everyday problems we face in building big and impactful systems.

3. Containers

5. cgroups

6. namespaces

7. Copy-on-write

8. Stackable Image Layers

9. bootfs

10. bootfs
Base image - (ubuntu, debian)

11. bootfs
Base image - (ubuntu, debian)
Add JRE

12. bootfs
Base image - (ubuntu, debian)
Add JRE
Add git

14. https://store.docker.com/images/alpine

15. https://www.dockerbook.com/

16. Class
Object
Image
Container

18. Map/Reduce

19. https://www.usenix.org/node/196347

20. Single-node, multi-container
Application patterns

21. Sidecar
Web server Log server
File System

22. Sidecar
Application Instance
Translations
Downloader
File System

23. Resource Isolation
Separate development
Easy and flexible composition
Failure containment

24. Ambassador
Web Server Ambasador
External App
External App
External App

25. Ambassador example
Application Hyperbahn Instance
Hyperbahn Instance
Hyperbahn Instance
Hyperbahn Instance
https://github.com/uber-archive/hyperbahn

26. Easy to reason about
Easy to test
Reusable

27. Adapter
Application Monitoring Adapter
Centralized
monitoring system

28. Multi-node application patterns

29. Leader election
App
Leader
election
container
App
Leader
election
container
App
Leader
election
container
App
Leader
election
container

30. Simplifies the problem
Easy testing

31. Distributed Transactions
App
Transaction
manager
container
App
Transaction
manager
container
App
Transaction
manager
container
App
Transaction
manager
container

32. Work queue
Worker
Work
Execution
Worker
Work
Execution
Work Coordinator

33. Simplification

34. Scatter/gather
Merge
Execution
Work
Execution
Work
Execution
Root
Work
Execution

35. Sharded Service
Shard
Function
Distributor
Worker
Shard 1
Worker
Shard 2
Worker
Shard 3

36. http://enterpriseintegrationpatterns.com

37. Messaging endpoints

38. Idempotent Receiver
App
Idempotent
Receiver

39. Message Routing

40. Dynamic Router
AppConsumer
AppConsumer
AppConsumer
Dynamic
Router
Output Channel
Controll Channel

42. Thanks!