Services

Data is the lifeblood of your code, so the services deployed to accompany your application are a meaningful design decision. Relational databases, non-relational databases, message brokers, they all have unique use cases. Learning how your language and framework can best take advantage of each can really empower how you build applications.

Build a Scalable, Fault-Tolerant Messaging Cluster on Kubernetes with Apache Kafka and MongoDB

Guide

Integrate Kafka with MongoDB to create scalable, fault-tolerant messaging on Kubernetes

Getting Started with Kafka

Guide

Leverage Apache Kafka, a distributed streaming platform built for storing and processing streams of records, while focusing on performance.

Getting Started with RabbitMQ

Guide

Leverage RabbitMQ, an open source message broker that is lightweight and easy to deploy on premises and in the cloud.

Spring Cloud Stream Kafka

Guide

A simple demonstration of how to implement your Java application with Kafka (Spring Cloud Stream) with the least amount of code in your Spring Boot application.

Spring Cloud Stream Kafka (Part 2)

Guide

Simulate a scenario to get a better sense of what we have previously discussed on Spring Cloud Stream Part 1. Asynchronous communication between applications and using Apache Kafka as broker.

Spring Cloud Stream Kafka (Part 3) - Functional Programming

Guide

Simulate a scenario to get a better sense of what we have previously discussed on Spring Cloud Stream Part 1. Asynchronous communication between applications and using Apache Kafka as broker.