Slash the Cost of Openshift Environments
Scan and tune OpenShift resources to cut costs, improve performance and stability
AI Can Make Short Work of OpenShift Infrastructure Optimization
The Red Hat OpenShift container platform comes with plenty of benefits, but, given the complexity of containerization, many are challenged in two areas:
- Implementing strategies to continuously optimize these environments
- Reducing the amount of nodes required to service workloads
Densify provides visibility into your hybrid cloud and container workloads and automates optimal workload supply allocation—resulting in improved performance, stability, and reduced cloud spend.
Benefits of Continuous OpenShift Container Resource Optimization
Densify optimizes infrastructure by analyzing app demand patterns, infrastructure characteristics, policies, and tags to recommend optimal placements and deliver business intelligence and automation.
- Full-Stack Visibility: Deep visibility into all layers of the infrastructure, how much resources you have provisioned and how effectively you are using them
- AI driven Optimal Container Resource Allocations: Precise recommendations for CPU and memory requests and limit values ensure applications run at peak performance with proper attention to cost
- Node-Level Resource Optimization: Select the right node types and sizes and optimize scaling parameters to ensure better efficiency and cost
- Easy Agentless Data Collection: Leverage Prometheus via a Red Hat-certified container
Overview of OpenShift container resource management
Automate the process of Controlling OpenShift Costs & Performance
- Rightsize request and limits based on predicted application demands, eliminating guesswork and reducing waste and risk, yielding up to a 40% reduction in costs
- Enable automated rightsizing to reduce errors and labor, ensuring the right resources are available for your apps when they are needed
- Integrate with your DevOps process to enable CI/CD/CO (continuous optimization) to drive savings
