JCon2022: Ultra-fast MicroProfile and Jakarta EE with Microstream

JCon 2022 Virtual Talk by Karina Varela and Otávio Santana
https://jcononline2022.sched.com/event/11lEZ?iframe=no

Within the world of Java standards, Eclipse MicroProfile and Jakarta EE bring several facilities and functionalities to make the development of microservices in the cloud-native era something straightforward. And this platform will be even better with a database engine that promises to be 1000 times faster than the relational database. Meet the Microstream: a fundamentally new persistence framework for storing complex Java object graphs natively, which means the object graph is stored on disk as it is in RAM.

Transcript

1. Ultra-fast MicroProfile and Jakarta EE with Microstream Otávio Santana Distinguished Engineer otavio@osarchitech.com Karina Varela Principal Technical Marketing Manager kvarela@redhat.com
2. It's now time to upgrade your persistence skills
3. Persistence hero's journey ◦ Why databases are used? ◦ What challenges are faced by modern apps? ◦ Why an in-memory persistence like Microstream performs significantly better? ◦ How can such persistence strategy enhance architectural solutions? ◦ How can I use it with Jakarta EE/Microprofile?
4. @otaviojava || @kvarel4 Endures knowledge Throughout humanity Temples, Caves as database Why do we need databases?
5. @otaviojava || @kvarel4 Architectural design demands knowledge How much information is available? App design Persistence design
6. @otaviojava || @kvarel4 Maturity Model State of affairs Persistence landscape Database flavors Paradigms Source: https://survey.stackoverflow.co/2022/#most-popular-technologies-language-prof 2022 Stackoverflow developer survey
7. @otaviojava || @kvarel4 It's the first thing we do Change is hard and expensive Maintaining evolutionary data Challenges in a database land
8. @otaviojava || @kvarel4 Challenges in a database land Different paradigms: Apps x DBMS Application (Object Oriented Language) Mismatch Database (Relational) Object Tables src: https://en.wikipedia.org/wiki/Directed_graph
9. @otaviojava || @kvarel4 Challenges in a database land Different paradigms: Apps x DBMS Application Mismatch Database Heritage Polymorphism Encapsulation Types Normalization Denormalization Structure
10. Mismatch Impedance == Slower persistence layer • Conversions ◦ Done every read and write ◦ takes up to 90% of query time in total • Complex framework or other types of mappings are required • High complexity, development effort & costs
11. Mismatch Impedance == Slower persistence layer • Conversions ◦ Done every read and write ◦ takes up to 90% of query time in total • Complex framework or other types of mappings are required • High complexity, development effort & costs
12. Ultra-fast in-memory data processing with pure Java.
14. @otaviojava || @kvarel4 Microstream 1000x Faster Database Queries
15. @otaviojava || @kvarel4 Cloud Object Store Choose your favorite data storage target Abstraction layer allows usage of multiple storage types and vendors SQL NoSQL Local File System
16. @otaviojava || @kvarel4 Microstream Hello World! StorageManager manager = EmbeddedStorage.start(); MyStructure structure = new MyStructure(); manager.setRoot(structure); structure.add(itemB); manager.storeRoot();
17. @otaviojava || @kvarel4 Microstream: Powered by CDI
18. @otaviojava || @kvarel4 • Adopting ultra-fast persistence using Microstream within apps based on: ◦ Java SE ◦ Microprofile ◦ Jakarta EE Demo
19. To learn more about Microstream, become an Open Source contributor, check out: https://microstream.one/ If you're interested in Java and software architecture as we do, let's stay in touch! https://architects4j.github.io/ Thank you! Otavio Santana @otaviojava https://otaviojava.com/ Karina Varela @kvarel4 https://kvarela.me/