Traditionally, IT service management was limited to legacy platforms and infrastructure. Due to a lack of process, interacting with IT teams was frustrating and difficult, resulting in the workforce becoming less engaged, and the gap between the IT team and business growing even further. Since IT service management was already a complicated task for most IT teams, COVID-19 only exacerbated the repercussions.
Deploying and monitoring performance for an entire Kubernetes cluster can be complex. To simplify the process, we’ve added service discovery functionality to eliminate complex configuration, in addition to more advanced monitoring for viewing activity inside containers. Service discovery identifies k8s pods running on a cluster and immediately starts monitoring system performance. All containers are identified, regardless of complexity.
We all know that Prometheus is a popular system for collecting and querying metrics, especially in the cloud native world of Kubernetes and ephemeral instances. But people forget that Java has been running enterprise software since 1995, while Prometheus is a relative newcomer to the scene. It was only created in 2012! Even though Java has had its own metric collectors since before Prometheus was born, none of our new environments speak its (metric) language. How can you bridge that gap?
Want to contribute to the community by sharing your own tutorials? Just head over to https://ubuntu.com/tutorials
