One of the most challenging aspects of microservice architectures is selecting the right infrastructure to make your services work seamlessly and effectively. What frameworks, tools and managed services will you select to build, package and deploy your services, manage connections, monitor, and, most importantly, protect and leverage your data? Your choices include open source solutions, enterprise versions, and cloud service providers. Things only get more confusing when you realize that you might be one acquisition or business decision away from needing to architect a hybrid cloud or multicloud solution.
Jeff Carpenter details specifically the use of technologies for persisting and moving data in microservice architectures. He examines the concept of “polyglot persistence” and the proper usage of different styles of databases, caches, and streaming solutions. You’ll consider effective patterns for combining these technologies, using Apache Cassandra and Apache Kafka as examples.
This session is sponsored by DataStax.
- Title: Patterns for persistence and streaming in microservice architectures (sponsored by DataStax)
- Release date: December 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920362050
You might also like
Meet the Expert: Vadym Kazulkin on the Serverless Value Proposition in AWS
The serverless value proposition in AWS is huge. Join expert Vadym Kazulkin as he examines the …
What You Need to Know About Modern Hashing
A basic review of hashing.
Pentaho® Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration
A complete guide to Pentaho Kettle, the Pentaho Data lntegration toolset for ETL This practical book …
Programming Web Services with XML-RPC
Have you ever needed to share processing between two or more computers running programs written in …