Kubernetes Resource Control
Answer the call to optimize while improving reliability and performance
AI Driven Analytics that precisely determine optimal resource settings for Kubernetes containers, pods and nodes
Deep Analysis of Containers, Pods, ReplicaSets & Deployments
- At-a-glance view of the cost and risk for clusters, namespaces, services and even your entire K8S estate
- Rapidly identify savings opportunities, OOM risks, memory limit issues and other critical situations
Histograms: visualization of container environment
Watch a deeper dive explainer with Densify’s CTO
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
Integrated, Automated Node Group Optimization
- Automated Cloud Scale Group optimization based on cross-catalog workload simulations
- Automatically recommends optimal instance type and scaling parameters based on utilization and container requests
- Leverages Densify’s industry-leading Cloud Resource Optimization
AWS ASG optimization analysis
Watch a deeper dive explainer with Densify’s CTO
See the Benefits of Optimized Cloud & KUBERNETES Resources
Densify is the only way to precisely match your apps’ demands to the right cloud supply.
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.
CUSTOMER STORY
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.
