Modern Java App Development in the Cloud

GeeCon Krakow 2023

Transcript

1. GeeCon Krakow 2023 Modern Java App Development in the Cloud Rustam Mehmandarov @RMehmandarov Mads Opheim @MadsOpheim
2. The main story: From code ---> to production
3. 3 Questions? Url: sli.do Code: #geecon Room 1 (we have hoodies and stickers!)
4. Our application We want an application that gives us two random words 4
5. Screenshot e.l. 5
6. Screenshot e.l. 6
7. Step 1: The logic 7
9. Step 2: Running code 9
10. Screenshot e.l. 10
11. Jakarta EE + MicroProfile to the rescue! 11
12. Wait! What is this MicroProfile thing?
13. Jakarta EE for microservices 13
14. Authentication 3.0 Concurrency 3.0 CDI 4.0 Persistence 3.1 Faces 4.0 Security 3.0 Servlet 6.0 Standard Tag Libraries 3.0 Server Pages 3.1 WebSocket 2.1 Bean Validation 3.0 Debugging Support 2.0 Enterprise Beans Lite 4.0 Managed Beans 2.0 Transactions 2.0 Jakarta EE 10 Platform Jakarta EE 10 Web Profile Jakarta EE 10 Platform Interceptors 2.1 Dependency Injection 2.0 Authorization 2.1 Activation 2.1 Batch 2.1 Connectors 2.1 Messaging 3.1 Enterprise Beans 4.0 Mail 2.1 JSON Binding 3.0 Annotations 2.1 Updated Not Updated New Jakarta EE 10 Core Profile Expression Language 5.0 Restful Web Services 3.1 Json Processing 2.1 Dependency Injection 2.0 CDI Lite 4
15. 15 MicroProfile 6.0 Jakarta EE 10 Core Profile Config 3.0 Fault Tolerance 4.0 JWT Authentication 2.1 Health 4.0 Metrics 5.0 Open Tracing 3.0 Open API 3.1 = Updated = No change from last release = New Rest Client 3.0 Standalone Context Propagation 1.3 Reactive Streams Operators 3.0 Outside umbrella Reactive Messaging 3.0 GraphQL 2.0 LRA 2.0 MicroProfile Releases in 2022 Telemetry 1.0
16. • MicroProfile is an open-source community specification for Enterprise Java microservices • A community of individuals, organizations, and vendors collaborating within an open source Eclipse Foundation Working Group to bring microservices to the Enterprise Java community 16 What is MicroProfile?
17. 17 Working Group Corporate Members
18. Why MicroProfile?
19. Write your logic, not boilerplate code 19
20. Lightweight 20
21. Interchangeable 21
22. 22 Current MicroProfile Implementations
23. Where do I start?
24. 24 https://start.microprofile.io/
26. It works on my machine! Now what? 26
27. Step 3: Containerize it! 27
28. Your Dockerfile Things to consider: - Multistage builds - Slim base images - Layers - etc. 28
29. Step 4: To the Cloud! ...and beyond? 29
30. Automate your builds! ...and everything else!
31. 31 Cloud Build
32. Dockerfile - or - cloudbuild.yaml 32
33. So now we have built a container image in the Cloud. Now what? 33
34. Serverless, of course!
37. When not to go serverless? 37
38. Step 5: Make it fast! 🏎 38
39. Runtimes differ... 39
41. HowTo: Migrating to Quarkus 1. Download the Quarkus starter, copy the Dockerfiles and pom files into your project 2. Adapt the pom file to your project 3. Move config to application.properties 4. Update your cloudbuild.yaml 5. Run 41
43. Step 6: And even faster! 🏎🏎 43
44. + 44
45. Voila! 🎉
46. 46 Question time! url: sli.do code: #geecon
47. Everything’s on GitHub! 47 https://github.com/mehmandarov/microprofile-randomstrings https://github.com/madsop/quarkus-multistage https://microprofile.io https://quarkus.io https://cloud.google.com
48. Thank you! Rustam Mehmandarov @RMehmandarov Mads Opheim @MadsOpheim