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Full-Stack K8s Resource Optimization From Container to Node to Scale Group

Cut costs while improving performance, elasticity & uptime.

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 in 2 minutes

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Densify automatically analyzes thousands of containers to determine optimal settings
Watch a deeper dive explainer with Densify’s CTO

Precise, Automated Recommendations to Optimize Requests & Limits

Precise recommendations and predictive analysis based on deep policy and AI learning models
Container, pod, ReplicaSet and deployment analysis using advanced QoS modeling
Visibility into learning models, policies and raw metrics to provide critical detail and evidence for app owners

Broad Platform Support

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

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

CUSTOMER PERSPECTIVES

Vladimir dives into container optimization strategies and cloud migration, discussing Raiffeisen’s processes and innovative practices. Raiffeisen Bank was early in the automation of optimization. Vladimir also shares why that was the case and what that meant for Raiffeisen Bank.

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AJ talks about innovative ways to gamify the engagement with line of business application owners to drive cloud optimization. The number one challenge most FinOps programs have is getting engineers to take action on optimization. Liberty Mutual’s “Optimization Bingo” is a refreshing take on the problem.

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Hitesh speaks to the evolution of the cloud and the best practices that have emerged in resource optimization. Having been involved in cloud from the start, Hitesh shares some of the “aha” moments he had along the way, including how to effectively engage engineering teams, the importance of data-driven approaches, designing for elasticity, and thoughts on where the industry is going.

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Gokul discusses RI’s, FinOps, optimization thoughts and tips, new apps from SAP and the impact on architecture decision making, user activity metrics, how SAP is able to involve engineers to act on changes, thoughts on containers, Gokul’s predictions on what’s to come next.

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Lori and Vinnie discuss the intersection of finance and technology, emphasizing the growing importance of optimization and transparency through FinOps. They also cover the impact of cloud migration, capacity management, and successful cost optimization strategies.