Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!
This book is for DevOps engineers and system administrators who manage Docker containers and want to better manage these containers using expert techniques and methods and better maintain applications built on Docker.
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
This is an easy-to-follow guide with plenty of hands-on examples that can be executed both on your local machine and externally hosted services.
"Sinopsis" puede pertenecer a otra edición de este libro.
Russ McKendrick is an experienced solutions architect who has been working in IT and IT-related industries for the better part of 23 years. During his career, he has had varied responsibilities in a number of industries, ranging from looking after entire IT infrastructures to providing first line, second line, and senior support in client facing, and internal teams for corporate organizations. He works almost exclusively with Linux, using open source systems and tools on various platforms ranging from dedicated hardware and virtual machines to public clouds.
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