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

Infrastructure as code 


The widely quoted benefit of infrastructure as code (IaC) is repeatability and reproducibility. There are a number of components (server, network, security, storage, and so on) in a data center that need to be configured to deploy applications. In cloud environments, there are thousands of such components to be configured. If all is being done manually, the time taken is very huge and error-prone. There are possibilities for the creeping in of configuration differences and drifts. Humans aren't great at undertaking repetitive and manual tasks with 100% accuracy. But machines are very good at doing repetitive, redundant, and routine tasks in scale and speed. If we produce a template and input it into a machine, the machine can execute the template thousand times without any errors. The template-centric approach for infrastructure provisioning, configuration and application deployment gains wider attraction and attention these days. Infrastructure optimization and management...