If you need to deploy a lot of microservices at once and manage them at scale, Kubernetes is hard to beat. But Kubernetes also brings additional complexity that you just might not need. You would be smart to ask yourself these three questions before getting started with Kubernetes.
StackState commissioned Techstrong Research, a strategy and technology analyst firm, to delve into the current state of observability. The resulting report, “Observability Innovation Report 2023,” provides insightful information. 543 IT professionals were surveyed, globally, across 20 industries. The largest concentration of respondents were in the telecommunications, technology, Internet and electronics sectors, followed by financial services.
Baking a delicious pizza in a wood-fired oven requires a combination of skill, experience and the right tools. The same is true for achieving optimal observability in a Kubernetes environment. In this post, we'll explore some of the lessons learned from baking pizza in a wood-fired oven and apply them to the world of Kubernetes observability.
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.
