Book Image

Microservices Deployment Cookbook

By : Vikram Murugesan
Book Image

Microservices Deployment Cookbook

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 (15 chapters)
Microservices Deployment Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Configuring Spring Boot Actuator metrics


In this recipe, we will learn how to configure the geolocation project to expose some predefined metrics exposed by the Spring framework itself. Though you might not use all of them, it is always better to know that they exist so that you can find some use for them in the future. In fact, most of the metrics exposed by Spring are modifiable. On top of it, Spring adds security to them so that not everyone can view your metrics. These are some of the advantages that you get when you use Spring's metrics framework.

Getting ready

We will go through this recipe with the help of the geolocation project. We will be using the Spring Boot Actuator library to expose the metrics. So open your STS IDE. Before we jump into the actual implementation, we have to comment out a few lines of code. If you have been working on the Setting up Consul using Docker recipe from Chapter 5 , Service Discovery and Load Balancing Microservices, you might still have the Zookeeper...