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Learn Docker - Fundamentals of Docker 19.x

You're reading from   Learn Docker - Fundamentals of Docker 19.x Build, test, ship, and run containers with Docker and Kubernetes

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838827472
Length 592 pages
Edition 2nd Edition
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Author (1):
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Dr. Gabriel N. Schenker Dr. Gabriel N. Schenker
Author Profile Icon Dr. Gabriel N. Schenker
Dr. Gabriel N. Schenker
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Motivation and Getting Started
2. What Are Containers and Why Should I Use Them? FREE CHAPTER 3. Setting Up a Working Environment 4. Section 2: Containerization, from Beginner to Black Belt
5. Mastering Containers 6. Creating and Managing Container Images 7. Data Volumes and Configuration 8. Debugging Code Running in Containers 9. Using Docker to Supercharge Automation 10. Advanced Docker Usage Scenarios 11. Section 3: Orchestration Fundamentals and Docker Swarm
12. Distributed Application Architecture 13. Single-Host Networking 14. Docker Compose 15. Orchestrators 16. Introduction to Docker Swarm 17. Zero-Downtime Deployments and Secrets 18. Section 4: Docker, Kubernetes, and the Cloud
19. Introduction to Kubernetes 20. Deploying, Updating, and Securing an Application with Kubernetes 21. Monitoring and Troubleshooting an App Running in Production 22. Running a Containerized App in the Cloud 23. Assessments 24. Other Books You May Enjoy

Using Prometheus to monitor a distributed application

Now that we have learned how to instrument an application service to expose Prometheus metrics, it's time to show how we can collect the metrics and forward them to a Prometheus server where all metrics will be aggregated and stored. We can then either use the (simple) web UI of Prometheus or a more sophisticated solution like Grafana to display important metrics on a dashboard.

Unlike most other tools that are used to collect metrics from application services and infrastructure components, the Prometheus server takes the load of work and periodically scrapes all the defined targets. This way applications and services don't need to worry about forwarding data. You can also describe this as pulling metrics versus pushing them. This makes Prometheus servers an excellent fit for our case.

We will now discuss how to deploy...

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