Autodiscovery with Docker Labels updated for Agent v6

Note: This video describes Autodiscovery using version 6 of the Datadog agent. We made some updates in version 6, but if you are using version 5, please refer to this video instead: https://youtu.be/4lnEdiOD7o4

Orchestration platforms like Docker, Kubernetes, and Amazon ECS make running containerized services easier and more resilient by handling workload scheduling and request routing. But all of that makes monitoring more difficult. How can you reliably monitor a service which by design constantly changes the definition normal as it moves applications between hosts? The Datadog Agent can automatically track which services are running where, thanks to its Autodiscovery feature. This video shows you how easy it is to get started with Autodiscovery on Docker with Datadog using Docker Labels.

The links found in this video are:
Datadog and Kubernetes Annotations: http://dtdg.co/k8svideo
Datadog Documentation: http://dtdg.co/datadogdocs
Datadog Public Slack: http://chat.datadoghq.com

via Datadog

About The Author
- Datadog unifies the data from servers, OS, databases, applications, tools and services to present a unified view of the infrastructure. These capabilities are provided on a SaaS-based monitoring and data analytics platform that enables Dev and Ops teams working collaboratively on the infrastructure to avoid downtime, resolve performance problems and ensure that development and deployment cycles finish on time.

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