Eventual Consistency with Spring for Apache Kafka: Part 2 of 2. Using Spring for Apache Kafka to manage a Distributed Data Model in MongoDB across multiple microservices.
As discussed in Part One of this post, given a modern distributed system composed of multiple microservices, each possessing a sub-set of a domain’s aggregate data, the system will almost assuredly have some data duplication. Given this duplication, how do we maintain data consistency? In this two-part post, we explore one possible solution to this challenge — Apache Kafka and the model of eventual consistency .
Our original Kubernetes tool list was so popular that we've curated another great list of tools to help you improve your functionality with the platform.
You will learn how to deploy a Java 11 Spring Boot application on a Kubernetes cluster and how to build and deploy a spring boot application on kubernetes us...
In this tutorial, we'll learn how does using Spring Boot make application development easier? Read ahead to find out.
Using Kubernetes, Spring Boot, Kafka Streams, and Confluent Cloud to rate Christmas movies. Help Santa choose the best movies to put in your stocking this holiday season!
Slightly contrived example, we have two services, vadal-users and vadal-posts. Vadal-posts contains a list of posts for users identified by their user id. Vadal-posts makes a REST call to vadal-users to find the name of the user based on the user id. This allows Kiali to gather tracing and traffic details.