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Practical Site Reliability Engineering

You're reading from  Practical Site Reliability Engineering

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788839563
Pages 390 pages
Edition 1st Edition
Languages
Authors (3):
Pethuru Raj Chelliah Pethuru Raj Chelliah
Profile icon Pethuru Raj Chelliah
Shreyash Naithani Shreyash Naithani
Profile icon Shreyash Naithani
Shailender Singh Shailender Singh
Profile icon Shailender Singh
View More author details

Table of Contents (19) Chapters

Title Page
Dedication
About Packt
Contributors
Preface
1. Demystifying the Site Reliability Engineering Paradigm 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 1. Other Books You May Enjoy Index

The promising and potential approaches for resiliency and reliability


Resiliency patterns are good to a certain extent in providing the required resiliency. In this section, we will be focusing on the various aspects of establishing and enforcing the mandated resiliency.

MSA is the prominent way forward

With the faster proliferation of mobile, wearable, portable, nomadic, wireless, and various other I/O devices, the users are demanding ubiquitous access to various applications, services, data sources, and content. For realizing sophisticated applications, not only the pervasive access but also the easy and quick leverage of data and services is essential. That means software applications and services ought to be made available all the time. Even if there is an attack on one or more services, the system has to continuously function by tolerating all kinds of faults, failures, and mishaps. If the application is under a heavy load, then the system has to scale up or out accordingly to respond...

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