Book Image

Practical Microservices

By : Umesh Ram Sharma
Book Image

Practical Microservices

By: Umesh Ram Sharma

Overview of this book

<p>A microservice architecture helps you build your application as a suite of different services. This approach has been widely adopted as it helps to easily scale up your application with reduced dependencies. This way if a part of your application is corrupted, it can be fixed easily thereby eliminating the possibility of completely shutting down your software. This book will teach you how to leverage Java to build scalable microservices. You will learn the fundamentals of this architecture and how to efficiently implement it practically.</p> <p>We start off with a brief introduction to the microservice architecture and how it fares with the other architectures. The book dives deep into essential microservice components and how to set up seamless communication between two microservice end points. You will create an effective data model and learn different ways to test and deploy a microservices. You will also learn the best way to migrate your software from a monolith to a microservice architecture.</p> <p>Finishing off with monitoring, scaling and troubleshooting, this book will set a solid foundation for you to start implementing microservices.</p>
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Practical options for both monitoring and scaling microservices


Monitoring tools in today's world are changing. These tools include reactive monitoring, user behavior monitoring, and so on. If the system finds a failure, then there should be a good enough tool that helps in debugging, such as centralized logging, and so on. In this section, we will visit some of the tools that will be handy in monitoring the microservice. We will now talk about some well-known tools provided by cloud providers such as CloudWatch and so on.

  • QBit the Java library. It includes a statistics service, which injects a data into StatsD/CodeHale Metrics. This stats service is referred to as statistics engine. This engine provides the data about a microservice and this helps in monitoring that microservice. QBit allows you to write code which can take action on the data provided by the microservice stats engine. StatsD is a network daemon for aggregating statistics. StatsD has many small clients libs for Java, Python...