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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

Prometheus


Prometheus is an open source monitoring tool that was originally built by SoundCloud in 2012, inspired by Google's BrogMon. It is written in GoLang. According to the New Stack Survey of 2017, Prometheus is one of the most widely used tools for monitoring Kubernetes clusters. What makes Prometheus different than other open source monitoring systems is that it has a simple, text-based format, making it easy to get metrics from other systems. It also has a multidimensional data model and a rich and concise query language. Using Prometheus, we can monitor all levels, nodes, container-scheduling systems, and also routers and switches. If we are dealing with large applications and a fast-moving infrastructure, this means that the jobs that we run change rapidly and we have to deploy them around 100 times a day. In this case, Prometheus will be very useful, as it has the ability to discover services. If we have a dynamic infrastructure, we can use Prometheus to detect early failures...

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