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Cloud Resource
Optimization

AI Driven Analytics find the right cloud instance for every workload

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

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Benefits

App Owner Approved, Engineer Trusted

Precise, Accurate & Actionable

Nothing matches Cloudex by Densify for engineer and app owner trusted optimization. Cloudex will instantly let you:

  • Find the optimal instance for every workload factoring in technical, resource and policy constraints
  • Deliver app owner and engineer oriented justification for every recommendation
  • Automate the execution of approved changes

Enabling FinOps Programs

  • Solve the single biggest issue for most FinOps programs – Accepting and actioning optimizations
  • Cloudex Catalog Maps make the impact of decisions crystal clear and encourage the right choices
  • App Owner Reports

    Detailed app owner reports enable collaboration with the teams you need to act on optimizations.

  • Optimize Auto Scaling Groups

    Leverages historical utilization and behavior for simulations that determine optimal configuration.

“ENGIE Digital & IT’s Darwin platform, managing assets in 25 countries, achieved significant cost savings in a few weeks.”
Ashley Rodrigue Cloud Partner Manager, Intel Corporation
  • Drill into Utilization Metrics

    Powerful visualization of CPU, Memory, Network and Disk I/O metrics.

  • Optimize GPU Cloud Instance Selection

    Ensure the optimal resources are applied to critical GPU and AI/ML workloads.

  • Track GPU and GPU Memory Utilization

    Gain visibility into GPU resource utilization and ensure that expensive resources are used optimally:

    • Model historical utilization patterns to reveal resource saturation, constraints, and GPU-to-Memory ratios.
    • Identify “deadwood” GPUs that are deployed but not used.
    • Track dead spots where resources go underleveraged, such as pre-learning data preparation where GPUs sit idle.
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See the benefits of Cloudex in action

AI driven analytics that finds the right instance for every workload

Integration

Integrate with Infrastructure as Code (IaC) to automate cloud resource selection.

Seamlessly Integrate Machine Learning into CI/CD Pipelines & Automation.

  • Free teams from the burden of manually selecting resources

  • Eliminate errors by using APIs to integrate directly into infrastructure as code templates.

  • Ensure performance by continuously aligning resources with application requirements