Cloud Resource Optimization

Cut Cloud Waste, Instead of Just Reporting On It

You Have Financial Visibility Covered. Now, It’s Time to Optimize.

Optimizing cloud resources means empowering your organization with accurate and actionable resource analytics that go beyond financial analysis to impact resource efficiency. Empower engineers and app owners to:​

  • Eliminate needlessly oversized instances that cause low utilization, waste and increased cost
  • Optimize performance by aligning with what apps actually need​
  • Improve auto scaling in line with true demand​
  • Ensure capacity commitments are no more than truly required

Densify uses a unique, high trust approach to solve all of this, combining machine learning and deep analytics to automate the determination of ideal instance types and resource specifications for applications, ensuring the optimal balance of performance and cost.

Read more about resource optimization vs cloud cost management. ​ 

The total cloud cost management challenge

Optimization directives show exactly the steps to take to reduce costs while preserving cloud performance

Automatically Set Cloud Compute & Database Instance Types

Densify’s machine learning analyzes workload patterns to determine the optimal size and family for your compute and database instances, enabling you to:

  • Reduce application performance and stability issues associated with under allocating resources to your instances
  • Increase utilization and lower costs by ensuring that you are not overallocating capacity to your instances
  • Avoid leaving CPU, memory or other resources stranded by picking the wrong instance family

Optimize the Configuration of Your Auto Scaling Groups

Densify analyzes the utilization and scaling behavior of Auto Scaling groups (ASGs) and performs simulations to determine their optimal configuration, enabling you to:

  • Analyze whether scaling groups are elastic, or are constrained by resource configurations
  • Automatically assign the right instance size and family for nodes in your ASG
  • Determine optimal scaling parameters such as the minimum and maximum size of your ASG

Optimization analysis of AWS Auto Scaling groups

Densify provides top-down visibility into risks and opportunities across clouds

Achieve Top-Down Capacity Visibility Across Your Cloud Infrastructure

Densify combines detailed analysis of thousands of entities into a dynamic view of the scope, efficiency, and health across all your cloud environments. This lets you:

  • Compare results between accounts, business groups, applications, or by any other tag
  • Provide rankings by efficiency rating, amount of risk, savings potential, and other KPIs
  • Assess the impact of implementing optimization recommendations
  • Calculate financial impacts and estimated savings

Generate Detailed Reports and Data Extracts to Enable Collaboration with Product & Application Owners

Densify automatically produces Impact Analysis and Recommendation Reports to share with stakeholders, letting you:

  • Clearly articulate details for every optimization recommendation, including predicted utilization, effort level, and cost impact
  • Include as an attachment to ITSM change tickets or integrate into business collaboration and approval workflows using Densify’s API

Densify Impact Analysis Reports provide complete visibility for stakeholders into the projected impact of recommended optimizations

Densify’s Metrics Viewer lets you explore your public cloud instances’
historical utilization data

Visualize Utilization Metrics for Your Cloud Infrastructure

Provides instant access to visualize CPU, Memory, Network and Disk I/O utilization metrics for analyzed cloud infrastructure, enabling you to:

  • Confidently implement Densify’s optimization recommendations by visualizing historical utilization patterns.
  • Select the historical period, hourly or daily time granularity, and multiple statistics of interest including the peak, sustained, average and minimum.
  • Compare the utilization of different resources using the four available charts or by selecting multiple metrics on a single chart.

Densify Optimizes for AWS, Azure & Google Cloud Platform

Select your cloud provider to learn more:

See how Densify integrates with IaC tools to automate cloud resource selection

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

Densify’s precise resource specifications integrate seamlessly into your deployment pipeline to automate the selection of instance types and scaling parameters for your cloud infrastructure, so you can:

  • Free your teams from the burden of manually selecting resources
  • Eliminate errors by using APIs to integrate directly into infrastructure as code (IaC) templates like Terraform or CloudFormation
  • Ensure performance by continuously aligning resources with application requirements

"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