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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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Event-based communication

Event-based communication is very similar to messaging. Instead of sending messages, the service instead generates events. Take a look at the following diagram:

As you can see, the Order Service generates an event. This is a signal that something has happened, such as an order for a book being generated. The services that are interested in this type of event, order generated, send a call to the Order Service.

In event-based communication, there is no need for a particular message structure from the message broker. We can also use this approach with transactional messaging to avoid Two-Phase Commit.

We have now looked at multiple approaches for inter-service communication. Deciding which one to use can be difficult because there are no hard and fast rules as to which ones are better. However, it can be useful to look at the individual situation and consider...

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