In this post we will download and start an Apache Kafka instance. The previous step is about building microservices through Event Driven Architecture part11: Continuous Integration. Kafka works well on-premise and at the edge. Kafka implements a publisher-subscriber design model for communication. Eventuate™ consists of two frameworks: Eventuate Tram for microservices that use traditional JDBC/JPA-based persistence. This is where the use of Apache Kafka for asynchronous communication between microservices can help you avoid bottlenecks that monolithic architectures with relational databases would likely run … It is very fast, scalable and durable. Because Kafka is highly available, outages are less of a concern and failures are handled gracefully with minimal service interruption. The core toolset, in combination with its built-in Streams and Connect APIs make it well suited for … Previously we used to run command line tools to create topics in Kafka such as: $ bin/kafka-topics.sh --create \ --zookeeper localhost:2181 \ --replication-factor 1 --partitions 1 \ --topic mytopic. Apache Kafka as Event Streaming Platform for Microservice Architectures 1. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. This tutorial is the 12th part of a series : Building microservices through Event Driven Architecture. Apache Kafka for scalable, decoupled coordination of a set of microservices… Apache Kafka provides a simple solution for communication between microservices. Some of the main challenges that monolith applications face are having low availability and handling service disruptions. The server to use to connect to Kafka, in this case, the only one available if you use the single-node configuration. Apache Kafka is an example of such message broker. This massive platform has been developed by the LinkedIn Team, written in Java and Scala, and donated to Apache. If you have deployed 4 microservices with each consisting of a single Kafka Consumer consuming from topic test then each consumer will consume from 1 partition on the topic test. As Kafka retains data for a configured amount of time you have the option to rewind and replay events as required. Apache Kafka is an incredibly useful building block for many different microservices. [root@localhost kafka_2.13-2.4.1]# bin/kafka … Summary: We were able to successfully demonstrate real time data processing by using Kafka … But coming to asynchronous communication in Microservices, one service will not wait for another service response. The second block is application-specific. Created inside LinkedIn, it later became one of the best solutions in the market. Here we are creating a topic testTopic1 by using --create option with kafka-topics.sh script using 1 partition and with replication factor 1. Kafka is an open-source distributed stream-processing platform that is capable of handling over trillions of events in a day. ; Apache Maven properly installed according to Apache… I need to use Apache Kafka in my project of Micro-Services. The kafka-streams-examples GitHub repo is a curated repo with examples that demonstrate the use of Kafka Streams DSL, the low-level Processor API, Java 8 lambda expressions, reading and writing Avro data, and implementing unit tests with TopologyTestDriver and end-to-end integration tests using embedded Kafka clusters.. I need my one micro-service to produce data and another to consume the same data. Plenty of examples exist. There are also numerous Kafka Streams examples in Kafka … 27 Conclusion The loose coupling, deployability, and testability of microservices makes them a great way to scale.