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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

IT performance and scalability analytics


There are typically big gaps between the theoretical and practical performance limits. The challenge is how to enable systems to attain their theoretical performance level under any circumstance. The performance level required can suffer due to various reasons. This includes the poor system design, bugs in software, network bandwidth, third-party dependencies, and I/O access. The middleware solutions such as adapter, connector, and driver also contribute to the unexpected performance degradation of the system. The system's performance has to be maintained under any loads (user, message, and data). There are several metrics such as request per second (RPS) and transaction per second (TPS). Performance testing is one way of recognizing the performance bottlenecks and adequately addressing them. The testing is performed in the pre-production phase.

Now, the software is functioning in production servers, and the thing to do here is to continuously and...

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