Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring any type of resource can be challenging. But Kubernetes monitoring is a special kind of challenge. Not only are there a variety of different Kubernetes layers and resource types to monitor, but collecting monitoring data from Kubernetes can be difficult if you use a managed Kubernetes service that limits your access to the underlying infrastructure. For all of these reasons, Kubernetes monitoring requires a different approach.

The critical use case for BAM is to provide a simplified business-friendly view of the integrated processes that are key to your business. In business today, Robotic Process Automation (RPA) is a trending technology. While it has been around for quite a long time, it has gained a significant boost in popularity alongside the popularity of citizen developer and maker use cases.

Content Learning how to monitor the Kubernetes API server is crucial when running cloud-native applications in Kubernetes environments. The Kubernetes API server can be considered as the front end of the Kubernetes control plane. Any interaction or request from users or internal Kubernetes components with the control plane go through this component. Ensuring you monitor the Kubernetes API server properly is of vital importance to ensure your Kubernetes cluster works as expected.