Book Image

Hands-On Microservices ??? Monitoring and Testing

By : Dinesh Rajput
5 (1)
Book Image

Hands-On Microservices ??? Monitoring and Testing

5 (1)
By: Dinesh Rajput

Overview of this book

Microservices are the latest "right" way of developing web applications. Microservices architecture has been gaining momentum over the past few years, but once you've started down the microservices path, you need to test and optimize the services. This book focuses on exploring various testing, monitoring, and optimization techniques for microservices. The book starts with the evolution of software architecture style, from monolithic to virtualized, to microservices architecture. Then you will explore methods to deploy microservices and various implementation patterns. With the help of a real-world example, you will understand how external APIs help product developers to focus on core competencies. After that, you will learn testing techniques, such as Unit Testing, Integration Testing, Functional Testing, and Load Testing. Next, you will explore performance testing tools, such as JMeter, and Gatling. Then, we deep dive into monitoring techniques and learn performance benchmarking of the various architectural components. For this, you will explore monitoring tools such as Appdynamics, Dynatrace, AWS CloudWatch, and Nagios. Finally, you will learn to identify, address, and report various performance issues related to microservices.
Table of Contents (11 chapters)

Performance monitoring tools

In this section, we will discuss a few APM tools that monitor the performance of a microservice-based application—but remember, it can be very difficult to select the right monitoring tool for a microservice-based application. Services can vary vastly in design and can be hosted within virtualized machines or containers located across a private cloud, public cloud, or even both.

The purpose of a monitoring tool is to provide insights about all microservices in a distributed application. Some of the reasons we monitor microservices include the following:

  • We get a view of their performance from an ongoing perspective
  • We gain the ability to ensure that any new updates or changes do not break monitors in production
  • We get a clear insight into the microservices, including their health status, memory, resource utilization, CPU load, disk usage,...