Kubernetes can generate so many types of new metrics (millions every day) that one of the most complex aspects of monitoring your cluster’s health is filtering through these metrics to decide which ones are important to pay attention to. In fact, in a survey that Circonus conducted of Kubernetes operators, uncertainties around which metrics to collect was one of the top challenges to monitoring that operators face.

Kubernetes monitoring is complicated. Knowing metrics on cluster health, identifying issues, and figuring out how to remediate problems are common obstacles organizations face, making it difficult to fully realize the benefits and value of their Kubernetes deployment. Understanding how to best approach monitoring Kubernetes health and performance requires first knowing why Kubernetes observability is uniquely challenging.

Millions of global baseball fans tuned into the World Series last week, and we at Circonus were proud to help our customer, Major League Baseball, ensure they provided those fans with seamless viewing experiences. To celebrate our partnership, we’re rolling the replay on how MLB overcame Kubernetes observability challenges with Circonus as the league quickly scaled its Kubernetes deployment.