Create, deploy, and manage applications at scale using SRE principles
Key Features
- Build and run highly available, scalable, and secure software
- Explore abstract SRE in a simplified and streamlined way
- Enhance the reliability of cloud environments through SRE enhancements
Book Description
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.
What you will learn
- Understand how to achieve your SRE goals
- Grasp Docker-enabled containerization concepts
- Leverage enterprise DevOps capabilities and Microservices architecture (MSA)
- Get to grips with the service mesh concept and frameworks such as Istio and Linkerd
- Discover best practices for performance and resiliency
- Follow software reliability prediction approaches and enable patterns
- Understand Kubernetes for container and cloud orchestration
- Explore the end-to-end software engineering process for the containerized world
Who this book is for
Practical Site Reliability Engineering helps software developers, IT professionals, DevOps engineers, performance specialists, and system engineers understand how the emerging domain of SRE comes handy in automating and accelerating the process of designing, developing, debugging, and deploying highly reliable applications and services.
Table of Contents
- Demystifying the Site Reliability Engineering Paradigm
- Microservices Architecture and Containers
- Microservice Resiliency Patterns
- DevOps as a Service
- Container Cluster and Orchestration Platforms
- Architectural and Design Patterns
- Reliability Implementation Techniques
- Realizing Reliable Systems: the Best Practices
- Service Resiliency
- Containers, Kubernetes, and Istio Monitoring
- Post-Production Activities for Ensuring and Enhancing IT Reliability
- Service Meshes and Container Orchestration Platforms
Pethuru Raj Chelliah (PhD) works as the chief architect at the Site Reliability Engineering Center of Excellence, Reliance Jio Infocomm Ltd. (RJIL), Bangalore. Previously, he worked as a cloud infrastructure architect at the IBM Global Cloud Center of Excellence, IBM India, Bangalore, for four years. He also had an extended stint as a TOGAF-certified enterprise architecture consultant in Wipro Consulting services division and as a lead architect in the corporate research division of Robert Bosch, Bangalore. He has more than 17 years of IT industry experience.
Shreyash Naithani is currently a site reliability engineer at Microsoft R&D. Prior to Microsoft, he worked with both start-ups and mid-level companies. He completed his PG Diploma from the Centre for Development of Advanced Computing, Bengaluru, India, and is a computer science graduate from Punjab Technical University, India. In a short span of time, he has had the opportunity to work as a DevOps engineer with Python/C#, and as a tools developer, site/service reliability engineer, and Unix system administrator. During his leisure time, he loves to travel and binge watch series.
Shailender Singh is a principal site reliability engineer and a solution architect with around 11 year's IT experience who holds two master's degrees in IT and computer application. He has worked as a C developer on the Linux platform. He had exposure to almost all infrastructure technologies from hybrid to cloud-hosted environments. In the past, he has worked with companies including Mckinsey, HP, HCL, Revionics and Avalara and these days he tends to use AWS, K8s, Terraform, Packer, Jenkins, Ansible, and OpenShift.
