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Microservices Deployment Cookbook

Microservices Deployment Cookbook

By : Vikram Murugesan
3.8 (6)
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Microservices Deployment Cookbook

Microservices Deployment Cookbook

3.8 (6)
By: Vikram Murugesan

Overview of this book

This book will help any team or organization understand, deploy, and manage microservices at scale. It is driven by a sample application, helping you gradually build a complete microservice-based ecosystem. Rather than just focusing on writing a microservice, this book addresses various other microservice-related solutions: deployments, clustering, load balancing, logging, streaming, and monitoring. The initial chapters offer insights into how web and enterprise apps can be migrated to scalable microservices. Moving on, you’ll see how to Dockerize your application so that it is ready to be shipped and deployed. We will look at how to deploy microservices on Mesos and Marathon and will also deploy microservices on Kubernetes. Next, you will implement service discovery and load balancing for your microservices. We’ll also show you how to build asynchronous streaming systems using Kafka Streams and Apache Spark. Finally, we wind up by aggregating your logs in Kafka, creating your own metrics, and monitoring the metrics for the microservice.
Table of Contents (9 chapters)
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Creating Kafka topics to stream data


In the previous recipe, we orchestrated our Kafka broker. The next step is obviously putting Kafka to action. In order to do that, we need some topics to work with. In this recipe, we will create some topics and will also learn how to produce and consume messages. Exchanging messages can be done in two ways: scripts and Java programs. We will be learning the Java way.

Getting ready

In this recipe, we will be using the same Kafka topics script to create topics:

  1. Open a new terminal shell and navigate to the directory where you have Kafka installed.

  2. Let's create a new topic called geolocations. We will then write a basic standalone producer program that will produce geolocations for this topic. We will integrate a consumer with our geolocation application that will consume all messages produced by our standalone producer.

  3. So now, our geolocation application will have two modes in which you can store geolocations: synchronous HTTP mode and asynchronous mode using...

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Microservices Deployment Cookbook
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