Where is my cache? Architectural patterns for caching microservices by example
Everybody knows that we need a cache, but where exactly to put it? Inside your application or as a layer in front of it? In the container or outside the container? In the era of Cloud and Microservices these questions get even more complicated. In this session, I'll present different architectural patterns for distributed caching: Embedded, Client-Server, (Kubernetes) Sidecar, and Proxy Caching.
In this session you'll learn:
- What are the design options for including the caching layer
- Common pitfalls when setting up caching for your system
- Differences between distributed caching and in-process caching
- How to speed up a (micro)service without modifying it
Speakers
Rafal
Leszko
Cloud Software Engineer
at
Hazelcast
Cloud software engineer at Hazelcast, author of the book "Continuous Delivery with Docker and Jenkins", trainer, and conference speaker. He specializes in Java development, Cloud environments, and Continuous Delivery. Former employee in a number of companies and scientific organizations: Google, CERN, AGH University, and more.