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

IT operational analytics 


We discussed log data and its analytics in the previous section. There are log-management tools and log analytics platforms to gain real-time information about all kinds of software and hardware systems. The insights emitted go a long way in stabilizing and strengthening various systems by proactively attending the systems issues. There is also operational data for all kinds of systems under operation. The data from IT systems contains valuable insights into system usage, the user's experience, and behavior patterns. There are operational analytics platforms and engines, such as Splunk software for monitoring, searching, analyzing, visualizing, and acting on massive streams of real-time and historical machine data, from any source, format, or location. The main advantages of operational analytics are listed here. Operational analytics helps with the following:

  • Extricating operational insights
  • Reducing IT costs and complexity
  • Improving employee productivity
  • Identifying...