Modern Kubernetes environments are increasingly growing in scale and complexity. While application performance monitoring and infra-observability tools were once sufficient to maintain reliability, they are ill-equipped to handle the distributed and ever-changing nature of dozens or hundreds of Kubernetes clusters.

At Komodor, we like to think of Kubernetes-based systems as a human body. When you’re sick, a bad doctor will just look at your symptoms and prescribe a pill for that (with potential side effects), but a good doctor will look at your body holistically and ask about your diet, lifestyle, habits, etc. to treat the root cause of the disease and not just the fever you’re feeling at the moment.

In that sense, Komodor is a good K8s doctor who looks past symptoms like ‘pod eviction’ or ‘missing replicas’, and knows how to intelligently correlate between disparate, and seemingly unrelated, data points on the infra and workload layers, as well as any cluster add-ons, operators, or CRDs, to foster a healthy system over time.

Join our Kubernetes Clinic to learn:

• What is the concept of Kubernetes health management?
• How to understand K8s issues holistically and prevent them in the future?
• How does a lack of proper tooling and culture affect downtime and productivity?
• Leveraging GenAI to improve observability and efficiency
• What does AI-assisted K8s troubleshooting K8s look like with Komdoor, and how does it improve observability and efficiency