cloud native

Friday, June 25, 2021

- CEST
How to build a great, cloud native, monolith
Adam Bien
Adam Bien
adam-bien.com

You can think about the granularity, try to fix the consistency with sagas,

evaluate various communication protocols, think about partial failures or ...just ignore the CAP and ship a nice monolith, save time and take vacations.

In this session, I would create the smallest possible Java monolith (actually a microlith) from scratch, discuss the design choices, tradeoffs and patterns.

At the end, I will discuss the killer use cases for microservices and how to break the microlith into several nanoliths.

Questions are highly appreciated!

Saturday, June 26, 2021

- CEST
Exploring Stateful Microservices built with Open Source Java in Kubernetes
Mary Grygleski
Mary Grygleski
IBM, Senior Developer Advocate

How does one choose to architect a system that has a Microservice / REST API endpoints? There are many solutions out there. Some are better than others. Should state be held in a server side component, or externally? Generally, we are told this is not a good practice for a Cloud-Native system, when the 12-factor guidelines seem to be all about stateless containers, but is it? It’s unclear and this confusion may lead to poor technology stack choices that are impossible or extremely hard to change later on as your system evolves in terms of demand and performance.

While stateless systems are easier to work with, the reality is that we live in a stateful world, so we have to handle the state of data accordingly to ensure data integrity beyond securing it.

We will examine and demonstrate the fundamentals of a Cloud Native system with Stateful Microservices that’s built with Open Liberty in Kubernetes:

  • Microservices/REST API – Options to use when running your apps in the JVM
  • Concurrency – how to take advantage of multi-core CPUs and clustered distributed systems
  • Stateful vs Stateless - while stateless apps are easier to implement, the bulk of the apps in production are stateful which involve a higher level of complexity and risk, especially when data would need to travel across multiple machines and network boundaries
  • Deployment – how about containerization and orchestration using Kubernetes?