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

The monitoring tool capabilities


 The cloud paradigm brings the much-needed flexibility of assigning resources needed to support demand from cloud users. Establishing and enforcing appropriate policies and rules are important for assigning cloud resources to business applications and IT services. However, the effectiveness of policy management depends on the visibility that organizations have about their cloud resources. Organizations need to have the capability to create, modify, monitor, and update the policies. In short, cloud monitoring tools need to have the previously mentioned cloud-specific features, functionalities, and facilities to realize all the cloud-sponsored benefits.

As organizations deploying cloud computing services trust third-party providers to fulfil the quality of service (QoS) attributes and performance, as quoted previously, is the key QoS parameter. The monitoring tool has to monitor not only the actual levels of performance, as experienced by business users, but...