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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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Component testing

Once we have done unit and integration testing for all functions of the modules within a microservice, we need to test each microservice in isolation. A distributed system might be composed of a number of microservices. So, when it comes to testing a microservice in isolation, we have to create a mock of other microservices. Consider the following diagram on component-testing a microservice:

Component testing involves testing the interaction of a microservice with its dependencies, such as a database, all as one unit.

Component testing tests the separation of a component from a large system. A component is a well defined and encapsulated part of a large system, which can be independently replaced. Consequently, testing such components in an isolated system provides many benefits, such as the separation of concern among components of the application, as well...

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