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Hands-On Microservices ??? Monitoring and Testing

Hands-On Microservices ??? Monitoring and Testing

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

Hands-On Microservices ??? Monitoring and Testing

2.7 (6)
By: 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 Testing of Microservices

In the previous chapter, we discussed how to carry out functional testing of a microservice to ensure the quality of the intended requirement. We have written unit tests to ensure that individual units function as expected and integration tests to check external dependencies, such as databases or external service calls. However, in a microservice-based architecture, performance testing is needed to test all individual components, such as the microservices themselves, the REST API, or the database. Performance testing ensures the performance of the overall application, allowing it to send fast responses to clients.

When designing a performance test for a microservice-based application, it has to test the performance of the APIs as well as the performance of external dependencies. Load testing tools such as JMeter, the Ready API, or Gatling can...

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