Book Image

Monitoring Docker

By : Russ McKendrick
Book Image

Monitoring Docker

By: Russ McKendrick

Overview of this book

This book will show you how monitoring containers and keeping a keen eye on the working of applications helps improve the overall performance of the applications that run on Docker. With the increased adoption of Docker containers, the need to monitor which containers are running, what resources they are consuming, and how these factors affect the overall performance of the system has become the need of the moment. This book covers monitoring containers using Docker's native monitoring functions, various plugins, as well as third-party tools that help in monitoring. Well start with how to obtain detailed stats for active containers, resources consumed, and container behavior. We also show you how to use these stats to improve the overall performance of the system. Next, you will learn how to use SysDig to both view your containers performance metrics in real time and record sessions to query later. By the end of this book, you will have a complete knowledge of how to implement monitoring for your containerized applications and make the most of the metrics you are collecting
Table of Contents (15 chapters)
Monitoring Docker
About the Author
About the Reviewer

Why use a SaaS service?

You may have noticed while working with the examples in the previous chapters that the tools we have used can potentially use many resources if we needed to start collecting more metrics, especially if the applications we want to monitor are in production.

To help shift this load from both storage and CPU, a number of cloud-based SaaS options have started offering support to record metrics for your containers. Many of these services were already offering services to monitor servers, so adding support for containers seemed a natural progression for them.

These typically require you to install an agent on your host machine, once installed, the agent will sit in the background and report to the services, normally cloud-based and API services.

A few of the services allow you to deploy the agents as Docker containers. They offer containerized agents so that the service can run on stripped down operating systems, such as:

  • CoreOS:

  • RancherOS: http://rancher...