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Microservices with Go

Microservices with Go - Second Edition

By : Alexander Shuiskov
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Microservices with Go

Microservices with Go

5 (1)
By: Alexander Shuiskov

Overview of this book

Microservices with Go, Second Edition explains the key benefits and common issues faced by developers when working with microservices, helping you understand the problems microservice architecture solves, the issues it introduces, and how to tackle them. The author distils his 18+ years of experience in building scalable and reliable infrastructure to help you grasp the importance of using the right principles and standards to achieve all that microservice architecture has to offer. You'll see why Go is a popular choice for microservice development, as well as navigate its foundational aspects, including service scaffolding, discovery, data serialization, communication, deployment, and testing. After covering development, you'll move to maintenance and reliability. This second edition is fully updated with newly added topics, including security and compliance, distributed system challenges, and performance monitoring. The final section focuses on advanced concepts, such as system reliability, observability, maintainability, and scalability. Through best practices and practical examples, you'll learn how to apply key ideas to existing applications using previously scaffolded services. By the end of this book, you'll have gained hands-on experience in developing scalable, reliable, and high-performance microservices with Go.
Table of Contents (23 chapters)
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1
Introduction
3
Foundation
13
Maintenance
18
Advanced Topics
21
Other Books You May Enjoy
22
Index

Implementing data caching

In the previous section, we implemented the logic for storing our service data, including movie metadata and movie ratings, in a persistent database. Now, consider the scenario where we never update movie metadata once we save it to the database. In fact, this might be the case in a real movie metadata application since the movie metadata, such as its title or description, would hardly change at all unless we make small corrections to it. Let’s also imagine that our movie metadata service becomes popular, and we start receiving lots of requests to it for movie details. If we start sending millions of requests to our database, it can easily get overloaded and stop responding to our requests at all. How would we solve such a load problem?

There is a powerful technique called data caching that can be helpful in reducing the load on our database. In essence, data caching is a technique of storing a copy or a part of our persistent data in the memory...

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Microservices with Go
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