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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

Monitoring clouds, clusters, and containers


The cloud centers are being increasingly containerized and managed. That is, there are going to be well-entrenched containerized clouds soon. The formation and managing of containerized clouds gets simplified through a host of container orchestration and management tools. There are both open source and commercial-grade container-monitoring tools. Kubernetes is emerging as the leading container orchestration and management platform. Thus, by leveraging the aforementioned toolsets, the process of setting up and sustaining containerized clouds is accelerated, risk-free, and rewarding.

The tool-assisted monitoring of cloud resources (both coarse-grained as well as fine-grained) and applications in production environments is crucial to scaling the applications and providing resilient services. In a Kubernetes cluster, application performance can be examined at many different levels: containers, pods, services, and clusters. Through a single pane of glass...

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