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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
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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

Delineating the containerization paradigm


Containers have emerged as the efficient runtime and resource for cloud applications (both cloud-enabled and native). Containers are comparatively lightweight, and hence hundreds of containers can be made to run on a physical or a virtual machine. There are other technical benefits such as horizontal scalability and portability. Containers almost guarantee the performance of physical machines. Near-time scalability is seeing the reality with the faster maturity and stability of the enigmatic containerization paradigm.

The ecosystem of containerization movement is growing rapidly, and hence containers are being positioned as the perfect way forward to attain the originally envisaged benefits of cloudification.

Containers are being positioned as the most appropriate resource and runtime to host and execute scores of microservices and their instances. The container monitoring, measurement, and management requirements are being sped up with the availability...

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