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

Reliable IT infrastructures


As indicated at the beginning of the chapter, to arrive at reliable systems, we need to have reliable applications and infrastructures. We have discussed the various ways and means of bringing forth reliable applications already. Now, we need to dig deeper and detail the best practices to be followed to craft and use reliable infrastructures.

High availability

 Regarding redundancy toward higher availability, the first and foremost tip is to architect software applications to be redundant. Redundancy is the duplication of any system to substantially increase its availability. If a system goes down due to any reason, the duplicated system comes to the rescue. That is why we often hear and read that software applications are being generally deployed in multiple regions, as indicated in the following diagram. Lately, applications are being constructed out of distributed and duplicated application components. Thus, if one component or service goes down, then its duplication...