Book Image

Practical Site Reliability Engineering

By : Pethuru Raj Chelliah, Shreyash Naithani, Shailender Singh
Book Image

Practical Site Reliability Engineering

By: Pethuru Raj Chelliah, Shreyash Naithani, Shailender Singh

Overview of this book

Site reliability engineering (SRE) is being touted as the most competent paradigm in establishing and ensuring next-generation high-quality software solutions. This book starts by introducing you to the SRE paradigm and covers the need for highly reliable IT platforms and infrastructures. As you make your way through the next set of chapters, you will learn to develop microservices using Spring Boot and make use of RESTful frameworks. You will also learn about GitHub for deployment, containerization, and Docker containers. Practical Site Reliability Engineering teaches you to set up and sustain containerized cloud environments, and also covers architectural and design patterns and reliability implementation techniques such as reactive programming, and languages such as Ballerina and Rust. In the concluding chapters, you will get well-versed with service mesh solutions such as Istio and Linkerd, and understand service resilience test practices, API gateways, and edge/fog computing. By the end of this book, you will have gained experience on working with SRE concepts and be able to deliver highly reliable apps and services.
Table of Contents (19 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
10
Containers, Kubernetes, and Istio Monitoring
Index

Resilient microservices 


We touched on microservices briefly in the previous chapter, but we'll just go through a quick summary again here to remind ourselves. Microservices is an architecture style in which large, complex software applications are composed of one or more smaller services. Each of the services are called microservices and deploy independently of one another, without us needing to know the implementation behind the other microservices. Each service works as a single business function that is loosely coupled, small, focused, language-neutral, and has a bounded context.

Resilient microservices can be defined as having the ability to recover back to a working state after a failure or outage. Resilience is one of the main advantages of microservices. Unlike monolith systems, where if something breaks, it will damage the whole application, in microservices, it will only impact that particular functionality, and other services in the application will run as usual.