Monitoring solutions for Docker containers Software applications are changing, and by extension, so are the requirements of application monitoring systems. Docker enables developers to iterate faster with software architectures consisting of many small and isolated microservices. This poses a challenge to traditional monitoring solutions as the target processes are no longer statically allocated or tied to particular hosts. Monitoring systems are now expected to track ephemeral and rapidly scaling sets of containers. Thankfully, the Docker Engine exposes APIs for container metadata, lifecycle events, and key performance metrics (Docker 1.5+) that enable the development of robust monitoring solutions. Today we are highlighting a number of these solutions that have demonstrated quality integrations with Docker APIs and provide a compelling user experience.