How to monitor Kubernetes + Docker with Datadog

The guide provides a comprehensive overview of setting up monitoring in a Kubernetes cluster using Datadog. It covers various techniques, including collecting resource metrics and cluster status from Docker and Kubernetes, using Autodiscovery to collect metrics from services with simple configurations, creating pod annotations for more complex use cases, collecting custom metrics from containerized applications via DogStatsD, and watching the orchestrator. The guide also provides instructions on how to set up monitoring in a real-world scenario using a guestbook application as an example.

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