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Automated
Kubernetes Optimization

Slash Cost, Improve Reliability & Eliminate Manual Effort.

SRE’s, Platform Owners and FinOps teams are succeeding and saving $millions.

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  • Lower сost up to 80%

    Immediately remove resource waste. Optimize containers, nodes and scaling in days.

  • Automate so its all taken care of

    Let AI and automation deliver cost optimization for you.

    Eliminate hidden resource risks

    Memory kills and node saturation be gone.

“Densify has brought a level of clarity and control to our cloud resource optimization that frankly feels like a superpower”
Seunghoon Oh , Cloud Architect
Benefits

Realizable Gains

Actions that improve performance and cost without impacting other components.

  • 01

    Automatically Prioritized Actions

    Easily find and automate the changes that will drive the greatest improvements in cost or risk.

  • 02

    High Trust Analytics

    The Industry’s most advanced analytics and AI based decisioning.

  • 03

    Cost Transparency

    Understand the cost impact of every change.

Features

Full Stack – Containers, Pods, Deployments, ReplicaSets, Nodes, Node Groups & Clusters

  • Intelligence for App Teams

    Details about containers all in one place. Risk, waste or events you can share quickly via links.

  • Intelligence for Platform Owners

    Saturation and imbalance detection. Scale group simulation, instance type selection and scaling parameter optimization.

  • Unified Analysis Model

    Container recommendations include health of nodes. Node actions account for containers on them and node pools.

Automated Optimization
eliminates manual effort

Architecture

Densify’s 3 Automation Architecture Options

  • Auto Identification of what matters

    Actions that will not exhaust quotas, cause runaway scaling, or other issues.

  • Mutating Admission Controller

    Automates changes without distracting app teams and engineers.

  • Precision Targeting

    Automation for only what you target. Phase non-prod, low priority & high-impact services without opening floodgates.

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.

Vladimir Remenar Director of IT Operations

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.

Angela (AJ) Wasserman Portfolio Product Owner

Andrew and Ashley discuss Intel and ASML’s partnership in High NA EUV technology, FinOps trends and future directions, and touch on containers and guardrails. However, they’re saving the bulk of that discussion for a future episode.

Ashley Rodrigue Cloud Partner Manager, Intel Corporation
SAP SuccessFactors

Andrew and Gokul discuss 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, and more.

Gokul Naidu Senior Manager, Cloud Operations at SAP SuccessFactors
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See the benefits of optimized
Kubernetes Resources

AI-driven analytics that precisely determine optimal resource settings for Kubernetes.