Deriving Maximum Value from Kubernetes Begins With the Right Monitoring Solution

Deriving Maximum Value from Kubernetes Begins With the Right Monitoring Solution

Kubernetes allows enterprises to manage and automate different containerized workloads across clusters of hosts. This open-source container orchestration solution provides enterprises with impressive portability and extensibility, allowing them to effortlessly manage, deploy, and scale containerized big data applications.

As enterprises make the move to Kubernetes, our recent Kubernetes Survey Report has found:

  • 45.33% of companies use Kubernetes to increase application performance and stability;
  • 27.17% go for the flexibility and portability Kubernetes provides to their workload;
  • 17.5% migrated to Kubernetes to cut down their big data expenses.

Beyond the popularity and its benefits and advantages, Kubernetes is a tough platform to monitor. Monitoring complexities stem from the need to look at multiple logs and microservices as well as code ownership and transparency issues.

Adding to the monitoring problem is the vast and confusing ecosystem of monitoring  solutions that claim to be effective in monitoring Kubernetes. The majority of these “monitoring” solutions were built to track only the surface metrics. However, the complexity of Kubernetes demands that users dive deeper to the granular level to monitor and track the important metrics and optimize their big data Kubernetes processes.

Download Picking The Right Kubernetes Monitoring Tools to understand the criteria to follow when exploring Kubernetes monitoring solutions. This also serves as a definitive guide to finding the right monitoring solutions for your Kubernetes.


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