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Back then, there wasn’t any standardized platform to develop and deploy software. Different teams and departments made use of tools, applications, and hardware – as per the requirement. Enterprise Kubernetes is a strategy that aims at providing organizations with a common platform. 

Kubernetes is an excellent solution that ensures that the testing and security aspects are dealt with right from the start of the software development life cycle. It is seen that the organizations tend to deliver more value as it becomes possible to standardize the change cycles thus making them more manageable. With no change in the investment in the software project, the value brought to the organization increases manifold.

Why Kubernetes?

One advantage is already stated above – delivering greater value. Additionally, Kubernetes automates every step of the deployment process.

It does this by transforming the components into reusable images. With this, the endpoints can be managed and governed consistently and programmatically on the basis of open APIs and service standards. It doesn’t end here. The organizations can now build and run cross-platform deployments. 

Kubernetes Monitoring

Needless to say, anything that is monitored helps in identifying the areas that lag, and thus it is possible to come up with ideas that aid in better performance. As far as Kubernetes Monitoring is concerned, there are some areas, when paid proper attention to, can result in a much better performance. They are – 

• The status of the node. 
• The time for which the clients wait for an API request, which is nothing but the API request latency.
• Utilization of memory, disk, and CPU. Here, the current health of a cluster component can be kept track of.
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• The availability of pods. This is critical because those pods that aren’t available can indicate configuration issues or readiness problems.

Deeper analysis of some Kubernetes Monitoring Tips and tricks that come in handy

• Data consistency: In order to better deal with bugs, maintaining data consistency across all levels helps. When it comes to troubleshooting, you’d definitely want to get rid of the issues in the minimal time possible.
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  For this, what could be done is to employ consistent units of measurement, common metrics both in applications and Kubernetes components, using correct timestamps, etc. 

• Pay attention to each and every layer: All the layers of the environment—cluster, container, and the controller manager need to be given equal attention. To be able to track bugs and monitor performance-related issues, you need to collect logs from different layers. Ensure that the container is running, and get runtime metrics from the controller manager.
• High disk usage (HDU): This is one of the most common issues pertaining to the Kubernetes system. Warnings related to this aspect if not dealt with at the right moment could lead to severe application issues. Keeping a track of the disk volumes, including the root file system, on all Kubernetes components comes in handy here.
• Monitor a set of containers: When you monitor individual container resources, you realize that this is very noisy. Rather, focus on a set of containers.

In a nutshell, Enterprise Kubernetes is no less than a blessing for an enterprise transitioning to a DevOps-driven cloud environment. However, this does not rule out the fact that this platform is complex and there could arise a range of problems as well. These issues cannot be easily identified or diagnosed using traditional monitoring tools. The role of advanced monitoring tools and new monitoring practices thus comes into play.