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

Service mesh solutions


Technically speaking, a service mesh is an additional software layer exclusively added to handle all sorts of service-to-service communications in a reliable manner. Cloud enabled and native applications are being composed out of microservices. For reliable cloud applications, the resiliency of service interactions has to be preserved through technologically advanced solutions.

Service mesh solutions are designed to absorb the service communication responsibility from each of the microservices. The service mesh acts as a proxy that intercepts and implements network communication between microservices. There are several resiliency-enablement design patterns such as retry, timeout, circuit breaking, load balancing, fault-tolerance, distributed tracing, observability metric collection, and all these are optimally implemented and inserted in any service mesh solution. A service mesh is a prime example of the ambassador pattern, which is a helper service that sends network...