Monitoring clouds, clusters, and containers

The cloud centers are being increasingly containerized and managed. That is, there are going to be well-entrenched containerized clouds soon. The formation and managing of containerized clouds gets simplified through a host of container orchestration and management tools. There are both open source and commercial-grade container-monitoring tools. Kubernetes is emerging as the leading container orchestration and management platform. Thus, by leveraging the aforementioned toolsets, the process of setting up and sustaining containerized clouds is accelerated, risk-free, and rewarding.

The tool-assisted monitoring of cloud resources (both coarse-grained as well as fine-grained) and applications in production environments is crucial to scaling the applications and providing resilient services. In a Kubernetes cluster, application performance can be examined at many different levels: containers, pods, services, and clusters. Through a single pane of glass, the operational team can provide the running applications and their resource utilization details to their users. These will give users the right insights into how the applications are performing, where application bottlenecks may be found, if any, and how to surmount any deviations and deficiencies of the applications. In short, application performance, security, scalability constraints, and other pertinent information can be captured and acted upon.   

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