Cloud Resource Optimization
AI Driven Analytics find the right instance for every workload
Densify Optimizes for AWS, Azure & Google Cloud Platform
Select your cloud provider to learn more:
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
Detailed App Owner Reports Enable Collaboration with the teams you need to act on optimizations
- Clearly articulate details for every optimization recommendation, including predicted utilization, effort level, and cost impact
- Integrate into business collaboration and approval workflows using Densify’s API
App Owner Reports provide complete details of the projected impact of recommended
optimizations (utilization, cost, technical fit)
Optimization analysis of AWS Auto Scaling groups
Optimize the Configuration of Auto Scaling Groups
Leverages historical utilization and behavior for simulations that determine optimal configuration:
- Determine groups constrained by resource configurations
- Find the right instance size and family for nodes
- Set optimal scaling parameters (min and max)
CUSTOMER STORY
ENGIE Digital & IT’s Darwin platform, managing assets in 25 countries, achieved significant cost savings in a few weeks.
Densify’s Metrics Viewer lets you explore your public cloud instances’
historical utilization data
Drill into Utilization Metrics
Powerful visualization of CPU, Memory, Network and Disk I/O metrics, enabling:
- Select the historical period, hourly or daily granularity, and multiple ML driven statistics of interest including the peak, sustained, average and minimum.
- Compare the utilization of different resources using the available charts or by selecting multiple metrics on a single chart
Optimize GPU Cloud Instance Selection
Ensure the optimal resources are applied to critical GPU and AI/ML workloads:
- Analyze workloads against available instance types to constantly determine the optimal GPU type
- Model NVIDIA GPU types and policy-based control over which to use
- Simultaneously optimize GPU-to-Memory and CPU-to-Memory ratios
Analyze workloads to determine optimal GPU type
GPU Utilization (%)
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
See the Benefits of Optimized Cloud & KUBERNETES Resources
Densify is the only way to precisely match your apps’ demands to the right cloud supply.
Integrate with Infrastructure as Code (IaC) to automate cloud resource selection
Seamlessly Integrate Machine Learning into CI/CD Pipelines & Automation
Precise resource and instance specifications integrate seamlessly into your deployment pipeline to automate the selection of instance types and scaling parameters for cloud infrastructure, so you can:
- Free teams from the burden of manually selecting resources
- Eliminate errors by using APIs to integrate directly into infrastructure as code templates like Terraform or CloudFormation
- Ensure performance by continuously aligning resources with application requirements
CUSTOMER STORY
"Densify…came up with the recommendation to optimize using an instance class that we had never even heard of…ultimately, we decided to implement the change, and as a result, we are more cost-efficient and our customer-facing metrics are completely unchanged."
- Mike Lee, Application Owner, Autodesk
