Overview: In this tutorial, I would like to show you a simple implementation of Choreography Saga Pattern with Spring Boot. Over the years, Microservices have become very popular. Microservices are distributed systems. They are smaller, modular, easy to deploy and scale etc. Developing a single Microservice application might be interesting! But handling a business transaction […]
Overview: In this tutorial, I would like to show you a simple implementation of Orchestration Saga Pattern with Spring Boot. Over the years, Microservices have become very popular. Microservices are distributed systems. They are smaller, modular, easy to deploy and scale etc. Developing a single Microservice application might be interesting! But handling a business transaction which
Overview: In this tutorial, I would like to demo CQRS Pattern with Spring Boot which is one of the Microservice Design Patterns to independently scale read and write workloads of an application & have well optimized data schema. CQRS Pattern: 1. Read vs Write Models: Most of the applications are CRUD in nature. When we design these
Overview: In this tutorial, I would like to show you one of the Microservice Design Patterns – Event Carried State Transfer to achieve the data consistency among the Microservices. Event Carried State Transfer: Modern application technology has changed a lot. In the traditional monolithic architecture which consists of all the modules for an application, we have
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Overview: In this tutorial, I would like to show you passing messages between services using Kafka Stream with Spring Cloud Stream Kafka Binder. Spring Cloud Stream: Spring Cloud Stream is a framework for creating message-driven Microservices and It provides a connectivity to the message brokers. Something like Spring Data, with abstraction, we can produce/process/consume data
Overview: In this tutorial, I would like to show you how to do real time data processing by using Kafka Stream With Spring Boot. Stream Processing: In the good old days, we used to collect data, store in a database and do nightly processing on the data. It is called batch processing! In this Microservices
Overview: This is a 3rd part in the Kafka series. If you have not read the previous articles, I would encourage you to read those in the below order. Kafka – Local Infrastructure Setup Using Docker Compose Kafka – Creating Simple Producer & Consumer Applications Using Spring Boot We had already seen producing messages into
Kafka – Scaling Consumers Out In A Consumer GroupRead More »
Overview: In the previous article, we had discussed the basic terminologies of Kafka and created local development infrastructure using docker-compose. In this article, I would like to show how to create a simple kafka producer and consumer using Spring-boot. Prerequisite: Java 8 or above installed Kafka is up and running Goal: Aim of this post
Kafka – Creating Simple Producer & Consumer Applications Using Spring BootRead More »
Overview: Kafka is a distributed event streaming application. If you are not sure what it is, you can compare it with a message queue like JMS, ActiveMQ, RabbitMQ etc. However it can do a lot more than these message queues. Kafka is little bit difficult to set up in local. It is mainly because of its
Kafka – Local Infrastructure Setup Using Docker ComposeRead More »