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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

Why is service mesh paramount?


There are a few compelling reasons and causes for the successful introduction and the runaway success of service mesh solutions. Microservices has emerged and evolved as the most appropriate building block for enterprise-grade applications and the optimal unit of application deployment. Furthermore, deploying a number of microservices rather than big monolith applications gives developers the much-needed flexibility to work in different programming languages, application development frameworks, rapid application development (RAD) tools, and release cadence across the system. This transition is resulting in higher productivity and agility, especially for larger teams.

There are challenges as well. The problems that had to be solved once for a monolith, such as security, load balancing, monitoring, and rate limiting, need to be tackled for each microservice. Many companies run internal load balancers that take care of routing traffic between microservices. The...

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