Patterns for persistence and streaming in microservice architectures
Patterns for persistence and streaming in microservice architectures
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 45m | 1.62 GB
Instructor: Jeff Carpenter
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 45m | 1.62 GB
Instructor: Jeff Carpenter
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.
Patterns for persistence and streaming in microservice architectures
