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)

Dashboards and identifying issues by going through logs

In a distributed application, we can use centralized logging, which provides a complete stack trace for a microservice-based application. To do this, you can use Elasticsearch, Logstash, and Kibana (ELK). In another of our books, Mastering Spring Boot 2.0, there is a complete practical example of how to implement centralized logging with ELK, and in this section we will provide you with an introduction to ELK. Take a look at the following diagram:

As you can see in the preceding diagram, we have successfully used ELK. The three open-source projects that make up ELK are as follows:

  • Elasticsearch: Elasticsearch is an enterprise-grade search and analytics engine that can be widely distributed. It's an open-source search engine and is readily scalable. Elasticsearch can power extremely fast searches that support your data...