- Product
- Kubernetes Reliability Management
Spinning Up a Cluster is Easy. Managing K8s Reliability is HARD.
Ensure smooth Kubernetes operations and manage reliability at scale in multi-cloud and hybrid environments. Prevent critical issues by addressing infrastructure, application and maintenance risks.
Kubernetes Complexity is Killing Innovation
As you scale up your infrastructure, the complexity level of your Kubernetes estate will grow exponentially as well. Moving fast while maintaining the health and reliability of more than a dozen clusters is virtually impossible without diverting engineering resources from innovation to maintenance.
Komodor has been pivotal in streamlining our Kubernetes operations. Their platform not only improved our RTO and RPO but also fostered a proactive, shift-left culture within our teams, empowering developers to catch and resolve issues earlier in the development lifecycle. This reduced the frequency of production errors and significantly boosted reliability across the system.
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Simon Pole
Principle Cloud Engineer
Komodor’s Engine for Continuous Kubernetes Reliability
Never worry about cluster upgrades again
Proactively monitor each cluster's End-of-Life status, as well as it’s associated APIs. Ensure your infrastructure remains up-to-date and compliant, while preventing potential issues from occurring.
- Monitor cluster versions and alert on EoL status
- Detect deprecated or removed APIs
- Streamline cluster maintenance, and free up time to focus on strategic initiatives
Optimize your infrastructure for performance & efficiency
Identify and resolve resource contention issues swiftly. Auto-detect over-utilized nodes and under-provisioned workloads with recommendations for resource reallocation.
- Detect noisy neighbors and under-provisioned workloads
- Prevent node pressure with dynamic remidiation recommendations
Always know if and when pod restarts are an issue
Komodor stops incidents in their tracks by proactively flagging suspicious container restarts, and suggesting configurations adjustments.
- Identify alarming CPU throttling trends
- Assess if an HPA consistently met its maximum capacity over time
Why Komodor?
Innovation at Scale
Focus on impactful projects & strategic initiatives instead of housekeeping
Reduce K8s Complexity
Unified multi
cluster/cloud/hybrid view
Increase Uptime
Detect risky trends & flaky services before they affect your end-users
Streamline Operations
Cluster upgrades & daily maintenance made easy
Smart Correlations
Automatically detect and correlate app & infra issues
