Container Infrastructure Optimization & Control

Science-Driven Automated Resource Management

Scaled Container Environments Are Complex & Demand Automated Approaches to Ensuring Stability & Efficiency

Automate the process of managing infrastructure for containers, such as picking instance types and sizes for the nodes, and figuring out when and how to scale a cluster. Benefits include:​

Full-Stack Visibility
Breakdown views by clusters, namespaces, and individual containers across Kubernetes, Red Hat OpenShift, Docker, EKS, AKS, and GKE, and enable chargebacks to lines of business based on resource consumption
Container Resource Management for Better Governance
Oversee the resource allocation and utilization for better governance across business units
Reduced Risk & Better App Performance
Patented workload pattern analysis to determine the best container sizes and node resources, ensuring apps/microservices always get the right resources, at the right time
Increased Resource Utilization & Efficiency
Better configure container sizes and underlying scale groups so you run Kubernetes clusters at far higher utilization and never spend more than required
Continuous Optimization
Enable intelligence and automate the process of container resource selection so they can focus on app development instead of worrying about fine tuning resource configurations like CPU and memory​
Densify enables resource management across container platforms like Kubernetes, OpenShift, Docker, EKS, AKS, and GKE

Automated, Intelligent Container Sizing for Cloud Software Developers

Cloud software developers can inject Densify machine learning intelligence to properly size the containers so they can focus on application development, and never have to worry about the infrastructure. Benefits include:

Worry-Free Container Sizing
No more guesswork on container sizing when setting CPU and memory request and limit values, so you can accelerate and focus on application delivery
Optimization as code for Containers
API-based and delivered as code—simply inject Densify machine learning intelligence to replace hard-coded resource specifications in your infrastructure as code templates like Terraform or CloudFormation
Improved Performance
The apps and services you develop will always receive the right resources to perform and scale

Automated Resource Optimization for Container Infrastructure

Container Platform Management

Densify machine-learning-powered container resource management enables full-stack visibility and automates the process of resource selection for your container environments, taking away the pains of manually managing container clusters.

See Automated Container Infrastructure Management in Action

Let our cloud experts show you how you can leverage automation to gain performance and agility while reducing costs.

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