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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

The importance of root-cause analysis 


The cost of service downtime is growing up. There are reliable reports stating that the cost of downtime ranges from $100,000-$72,000 per minute. Identifying the root-cause (mean-time-to-identification (MTTI) generally takes hours. For a complex situation, the process may run into days. The MTTI is lengthy due to various reasons. There are not many tools to speed up the MTTI process. We need competent tools that enrich the value by correlating the data from different IT tools, such as APM, ITSM, SIEM, and ITOM with open API connectors. As microservices and their instances run on containers, IT teams need to manage millions of data points. This transition mandates for highly advanced and automated tools. The pioneering AI algorithms will be commonly used to automate for precisely finding the root-causes.

Root-cause analysis is being touted as an important post-deployment activity for exactly pinpointing bugs and their roots in any software applications...

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