Native cloud applications typically consist of a number of autonomous (micro)services which communicate with each other via interfaces. While the complexity of the services aims to be low, there are new challenges for the overall system architecture. Specifically, there is a need for innovative solutions for cross aspects like dependency management, and monitoring and logging in order to guarantee the frictionless orchestration of the different service components. The track Monitoring & Diagnostics presents approaches to handle the complexity of microservices applications. The scope ranges from performance analytics, profiling and monitoring to log management for Docker, Swarm, Kubernetes & Co.