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Hands-On Microservices – Monitoring and Testing

Hands-On Microservices – Monitoring and Testing

By : Dinesh Rajput
2.7 (6)
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Hands-On Microservices – Monitoring and Testing

Hands-On Microservices – Monitoring and Testing

2.7 (6)
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)
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Performance Monitoring of Microservices

In the previous chapter, we discussed how to carry out performance testing for a microservice-based application. Performance or load testing is a critical part of any application that serves a lot of users. A microservice-based application has a lot of small services that run on separate servers, and each microservice can be written in any language. For this reason, it is important that load testing is performed for each microservice.

This chapter will discuss performance monitoring of microservice-based architectures. We will look at various Application Performance Management (APM) tools that can be utilized to test microservices, and will also learn about performance counters that are specific to microservices.

After reading this chapter, you will be able to diagnose performance issues related to microservices and APIs using monitoring...

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