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)

Component-level monitoring

End-to-end performance monitoring is very important for an application; it keeps tabs on the experience of the end-user, including whether the application or device works properly and how fast or slow it is. An end-to-end system consists of individual components, and so a component monitoring system keeps all individual components in check. For a mobile or web application, this includes the application server, the web server, the operating system, the physical and virtual machine, storage, and networking.

A component monitoring system detects and notifies applications and other components of a system that is either performing strangely or not performing at all. One excellent example of a product that does component-level monitoring is Anturis. Anturis works for in-house data centers and can also operate on the cloud. It detects anything out of the ordinary...