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.

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Table of Contents (19 chapters)
Title Page
Title Page
Dedication
Dedication
About Packt
About Packt
Contributors
Contributors
Preface
Preface
Free Chapter
1
Demystifying the Site Reliability Engineering Paradigm
Demystifying the Site Reliability Engineering Paradigm
Setting the context for practical SRE
Plunging into the SRE discipline
The need for highly reliable platforms and infrastructures 
Reactive systems 
Highly reliable IT infrastructures
The vitality of the SRE domain
Summary
2
Microservices Architecture and Containers
Microservices Architecture and Containers
What are microservices?
Microservice design principles
Deploying microservices
Practical examples of microservice deployment
Microservices using Spring Boot and the RESTful framework
Jersey Framework
Representational State Transfer (REST)
Important facts about microservices
Summary
3
Microservice Resiliency Patterns
Microservice Resiliency Patterns
Briefing microservices and containers
IT reliability challenges and solution approaches
The promising and potential approaches for resiliency and reliability
Summary
4
DevOps as a Service
DevOps as a Service
What is DaaS?
Collaboration with development and QA teams
Summary
5
Container Cluster and Orchestration Platforms
Container Cluster and Orchestration Platforms
Resilient microservices 
Application and volume containers 
Clustering and managing containers
Container orchestration and management
Summary
6
Architectural and Design Patterns
Architectural and Design Patterns
Architecture pattern
Design pattern
Summary
7
Reliability Implementation Techniques
Reliability Implementation Techniques
Ballerina programming 
Reliability
Rust programming
Summary
8
Realizing Reliable Systems - the Best Practices
Realizing Reliable Systems - the Best Practices
Reliable IT systems – the emerging traits and tips
MSA for reliable software
Service mesh solutions
Microservices design – best practices
Asynchronous messaging patterns for event-driven microservices
The role of EDA to produce reactive applications 
Reliable IT infrastructures
Infrastructure as code 
Summary
9
Service Resiliency
Service Resiliency
Delineating the containerization paradigm
Demystifying microservices architecture 
Decoding the growing role of Kubernetes for the container era
Describing the service mesh concept
Why is service mesh paramount?
Service mesh architectures
Summary
10
Containers, Kubernetes, and Istio Monitoring
Containers, Kubernetes, and Istio Monitoring
Prometheus
Grafana
Summary
11
Post-Production Activities for Ensuring and Enhancing IT Reliability
Post-Production Activities for Ensuring and Enhancing IT Reliability
Modern IT infrastructure
Monitoring clouds, clusters, and containers
Cloud infrastructure and application monitoring
The monitoring tool capabilities
Prognostic, predictive, and prescriptive analytics
Log analytics
IT operational analytics 
IT performance and scalability analytics
IT security analytics
The importance of root-cause analysis 
Summary
Further Readings
12
Service Meshes and Container Orchestration Platforms
Service Meshes and Container Orchestration Platforms
About the digital transformation
Cloud-native and enabled applications for the digital era
Service mesh solutions
Microservice API Gateway
Ensuring the reliability of containerized cloud environments
The journey toward containerized cloud environments
The growing solidity of the Kubernetes platform for containerized clouds
Summary
Other Books You May Enjoy
Other Books You May Enjoy
Leave a review - let other readers know what you think
Index
Index

Deploying microservices

Let's start to think practically about microservice deployment. We are going to look at the latest container technologies and orchestrator tools that are dominating the microservice market. First, we will list the availability of tools and options and then we will look at an example to show you how things can be deployed in the microservice model.

Microservices can be deployed on the following platforms:

  • Container platforms: These include technologies such as Docker, rkt, AWS ECS, and AWS EKS.
  • Code as a function: We can deploy bare functions written in supported programming languages on AWS Lambda-like platforms. These platforms will run that configured code and store the result on an S3-like bucket or a supported database on a cloud vendor platform. Alternatively, the code might trigger a further configured action. It can be called through AWS API Gateways, a similar service available on Microsoft Azure, or over Google's Cloud Platform (GCP).
  • Virtual platforms: These...
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