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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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UI/functional testing

In functional testing, each and every aspect of code is tested to make sure that it is working correctly. In simple terms, functional testing considers the system's requirements and checks whether the system is fulfilling them. Anything that is done differently, or not done at all, will be listed as an anomaly. Consequently, functional testing is essential for looking at code execution and making sure that it is done right.

When performing functional testing, the process is as follows:

  1. First, data is input
  2. Next, it is determined what the output is supposed to be
  3. The test is then run with the relevant input
  4. Finally, the output results are compared with the expected results

In the end, if the results match, then it is clear that the system is working perfectly, but if they are different, then this means that bugs have been found.

In UI testing, the system...

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