Kubernetes greatly simplified the process of creating and scaling containerized applications, but also introduced new challenges for also teams tasked with keeping track of these widely distributed systems.
Monitoring performance metrics, auditing changes to deployed environments, and access logs that may aid in diagnosing application issues all need sufficient visibility into Kubernetes clusters, which operations teams must have. Even while Kubernetes monitoring calls for a different set of tools and methodologies than prior generations of infrastructure monitoring, the ultimate goal remains the same to ensure that systems are functioning as intended and to respond quickly when problems arise. Surely you would need to have a full picture of the kubernetes observability benefits.
The primary benefits of using Kubernetes monitoring are highlighted in this article. We’ll also discuss how Kubernetes Monitoring with Grafana Cloud may help you reap those benefits even more efficiently.
Kubernetes’ strengths as a monitoring tool
Production application monitoring is essential for error detection, optimal resource utilisation, and cost management. This is true for Kubernetes as well: A cluster’s efficiency and performance may swing either way, depending on how closely it is monitored.
Instant alerts and finding problems at an early stage in the process
Proactively monitoring your Kubernetes clusters can help you identify issues before they affect your users. You can see what’s happening in your cluster by looking at the log files, traces, and performance indicators that are provided for you. This will alert you ahead of time about use surges and increasing mistake rates. You might potentially prevent awkward conversations that may ensue if users are the ones to uncover a problem by using real-time alerts to alert you as soon as possible. Because of this, the time it takes to restore service is reduced, which protects your company’s image.
Improved load management and regulation
With the help of a thorough monitoring system, you can better organise your task and make good use of the available resources. If your application pods aren’t being distributed evenly throughout your nodes, or if there’s too much demand for the available resources, you may see this using Kubernetes cluster monitoring. Even while you may be able to increase performance and reliability by making small adjustments to scheduling, such as creating affinities and anti-affinities, you won’t be able to take advantage of these opportunities until you have a better understanding of how a cluster is really utilised.
Problem solving is simplified
It’s possible that monitoring will help you while you figure out what’s wrong and how to remedy it. The most efficient way to learn how to replicate a problem and get closer to its root causes is to look at the logs of your application and the Kubernetes components it utilises.
Conclusion
Without a monitoring solution, you’ll have to guess at the root of the issue and implement workarounds one at a time until you find one that works. This increases the workload for developers, especially for newcomers who are still getting used to the system. Being able to see problems before they cause significant downtime is a huge boon to productivity and encourages everyone to pitch in.
