This blog post is a how-to guide for Kubernetes troubleshooting. Our vision is that any engineer can keep Kubernetes-based applications up and running smoothly, regardless of their level of Kubernetes expertise and their knowledge of the services in the environment. Right out of the box, StackState aims to monitor, alert and then guide an engineer directly to the problem, helping them remediate the issue quickly.

To get the best performance out of your Kubernetes cluster, SREs and software engineers must have enough knowledge and instruments to find misconfiguration and bottlenecks. At the same time, thanks to Kubernetes’ ever-growing popularity, there is a global shortage of expertise on the platform.

Having a deep understanding of a Kubernetes cluster is important: the right insights allow you to monitor the performance and health of the cluster, which is necessary for ensuring that applications are running smoothly and that any potential issues can be identified and addressed quickly. As your Kubernetes cluster develops, so does the need for monitoring and troubleshooting.

Moving towards a Kubernetes platform might seem a simple move. You’ll ask your smartest engineers to get started. They will love a move towards cloud and container technology. However, if you want to realize maximum benefit as you start using a platform like Kubernetes, there is more to it.

It should surprise no one that Kubernetes uptake is growing and will continue to do so. The wildly popular container orchestration platform’s continuous development is fueled by broad adoption. This will continue in 2023 as more companies, teams and individuals embrace it as a platform for innovation, building new applications and scaling existing ones faster than ever before.

The observability market is maturing. This evolution is clearly visible in the rise of OpenTelemetry, an open source framework for application performance monitoring and observability.

Earlier this year, StackState was named a Market Leader in the “2022 Research in Action (RIA) Vendor Selection Matrix (VSM) for Observability.” This is great recognition of the innovative path that we are on. We have focused on topology-powered observability, supported by our unique 4T® Data Model.