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Practical Site Reliability Engineering

You're reading from   Practical Site Reliability Engineering Automate the process of designing, developing, and delivering highly reliable apps and services with SRE

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788839563
Length 390 pages
Edition 1st Edition
Tools
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Authors (3):
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Pethuru Raj Chelliah Pethuru Raj Chelliah
Author Profile Icon Pethuru Raj Chelliah
Pethuru Raj Chelliah
Shailender Singh Shailender Singh
Author Profile Icon Shailender Singh
Shailender Singh
Shreyash Naithani Shreyash Naithani
Author Profile Icon Shreyash Naithani
Shreyash Naithani
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Table of Contents (14) Chapters Close

Preface 1. Demystifying the Site Reliability Engineering Paradigm FREE CHAPTER 2. Microservices Architecture and Containers 3. Microservice Resiliency Patterns 4. DevOps as a Service 5. Container Cluster and Orchestration Platforms 6. Architectural and Design Patterns 7. Reliability Implementation Techniques 8. Realizing Reliable Systems - the Best Practices 9. Service Resiliency 10. Containers, Kubernetes, and Istio Monitoring 11. Post-Production Activities for Ensuring and Enhancing IT Reliability 12. Service Meshes and Container Orchestration Platforms 13. Other Books You May Enjoy

Resilient microservices 


We touched on microservices briefly in the previous chapter, but we'll just go through a quick summary again here to remind ourselves. Microservices is an architecture style in which large, complex software applications are composed of one or more smaller services. Each of the services are called microservices and deploy independently of one another, without us needing to know the implementation behind the other microservices. Each service works as a single business function that is loosely coupled, small, focused, language-neutral, and has a bounded context.

Resilient microservices can be defined as having the ability to recover back to a working state after a failure or outage. Resilience is one of the main advantages of microservices. Unlike monolith systems, where if something breaks, it will damage the whole application, in microservices, it will only impact that particular functionality, and other services in the application will run as usual.

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