Kubernetes Resource Control

Answer the call to optimize while improving reliability and performance

Analytics that predictively, precisely and continuously determine the appropriate resource settings for containers to ensure cost efficiency, elasticity, performance and stability.

Densify automatically analyzes thousands of containers to determine the optimal settings

Densify automatically analyzes thousands of containers to determine optimal settings

Automatically Set Container Resource Requests & Limits

  • Avoid application performance and stability issues
  • Increase node and cluster utilization – avoid allocating too much CPU and memory to your applications
  • Lower your cloud bill by deploying fewer nodes for the same containers

Optimize the Configuration of Container Nodes and Scale Groups

  • Automatically assign the ideal amount of CPU and memory for the nodes and node groups in your clusters
  • Determine the right instance families for your nodes
  • Automatically model scaling behavior to optimize scale groups

AWS ASG optimization analysis

Kubernetes namespace analysis showing risks & inefficiencies in the allocation of resources

Optimize Resource Allocations for Namespaces & Clusters

  • Ensure cluster resource and namespace quotas are constantly aligned with app team requirements
  • Identify risks due to under allocation of resources
  • Reduce costs by ensuring quotas are not forcing infrastructure to be provisioned but not used

Visualize K8s Cost & Performance Risks

  • Unique visualization that shows the overall resource health of your entire Kubernetes environment with Histograms
  • A powerful way to identify inefficiencies in container CPU and memory requests and limits
  • Quickly drill down to specific risks, each with a recommendation for resolution

    Watch this 1-min explainer video to learn more.

Histograms: visualization of container environment

Analytics that precisely determine optimal resource settings for Kubernetes containers, pods and nodes

Visualize Kubernetes Cost & Performance Risks

  • Spot under and over provisioned resources at a glance
  • Drill down to see details and recommended configurations

Histograms: visualization of container environment

Densify automatically analyzes thousands of containers to determine optimal settings

Automatically Set Container Resource Requests & Limits

  • Precisely set the optimal CPU and memory for your applications
  • Lower your cloud bill by deploying fewer nodes

Pick the Right Instances for Your Kubernetes Nodes

  • Determine the right cloud  instance families and types for nodes
  • Determine the right node configuration for auto-scaling

AWS ASG optimization analysis

Kubernetes namespace analysis showing risks & inefficiencies in the allocation of resources

Optimize Resource Allocations for Namespaces & Clusters

  • Ensure cluster and namespace quotas are aligned with app requirements
  • Reduce costs by ensuring quotas don’t provision resources that aren’t unused

Integrate With your Stack & Automation

  • Free your teams from manually setting resources
  • Use APIs to effect changes with infrastructure as code tools like Terraform or CloudFormation

Integration with Automation API’s and IaC

Broad Platform Support

Manage resources across Kubernetes, Red Hat OpenShift, Rancher RKE, EKS, AKS and GKE for all your clusters, namespaces and individual containers.

Broad Platform Support
Raiffeisen Bank Aval

Raffeisen shares OpenShift optimization with Jenkins CI/CD. Watch how Raiffeisen Bank saves 50% on the frequency of resource expansions, an overall reduction in resources required, and the alleviation of the risk of instability caused by container memory shortages.