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 architectures


There are a couple of choices for leveraging the service mesh solutions. A service mesh solution can be presented as a library so that any microservices-centric application can import and use it on demand. We are used to import programming language packages, libraries, and classes in a typical application building and execution. Libraries such as Hystrix and Ribbon are well-known examples of this approach. This works well for applications that are exclusively written in one language.

There is a limited adoption of this library approach as microservicecs-centric applications are being coded using different languages. There are other approaches too, which are explained as follows:

Node agent: In this architecture, there is a separate agent running on every node. This setup can service a heterogeneous mix of workloads. It is just the opposite of the library model. Linkerd's recommended deployment in Kubernetes works like this. F5's Application Service Proxy (ASP) and...