How Docker changes application monitoring

While collecting container metrics from Docker is straightforward, monitoring containerized applications presents many twists and turns

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As Docker continues to gain momentum in organizations of all sizes, it brings up important points about the state of modern monitoring. With the rise of containers, ephemeral and elastic infrastructure, and devops, development and operations teams confront several new challenges. First, we must accommodate data that is growing in volume and variety, generated by systems that might come and go. Second, we must accommodate a wider spectrum of users in terms of their knowledge of monitoring solutions and their familiarity with operations.

Fortunately, getting started with monitoring Dockerized applications is easier than you might imagine, once you know you’re asking the right questions. The question is not “How do I monitor Docker?” but rather, “How does Docker change how I monitor my environment and applications?”

Maxime Petazzoni has been a software engineer for more than 15 years. At SignalFx, he works on the core of the SignalFx monitoring and alerting solution: real-time, streaming SignalFlow Analytics. He is also the creator of MaestroNG, a container orchestrator for Docker environments.

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