Cloud Resource Optimization

Greatly Increase the Utilization of Your Cloud Infrastructure While Minimizing Performance Risk

The Right Way to Manage Resources in the Cloud You’ve Organized Your Bill. Now, It’s Time to Optimize.

You will never optimize your use of cloud resources by only focusing on the bill. Incorrect resource specifications can be a disaster in the cloud:

  • Users can experience performance problems if resources don’t align with what the apps actually need
  • Oversized instances can cause very low utilization, wasting resources and increasing costs
  • Scale groups can get pinned, and not scale up and down as loads change
  • RIs, Saving Plans, and other commitments are much larger than necessary, locking in spend that you might be able to reduce

Densify uses a unique approach to solve all of this, combining machine learning and deep analytics to automate the process of determining the ideal instance types and resource specifications for your cloud-based infrastructure, ensuring the optimal balance of performance and cost.

Cloud cost control requires optimizing the underlying infrastructure
The total cloud cost management challenge

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

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
Autoscaling optimization analysis dashboard
Optimization analysis of AWS Auto Scaling groups

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
Overview of cloud efficiency and potential risks
Densify provides top-down visibility into risks and opportunities across clouds

Generate Detailed Reports & 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
See an Example Infrastructure Impact Analysis Report
Impact Analysis Report for justifying engineering action on capacity optimization directives
Densify Impact Analysis Reports provide complete visibility for stakeholders into the projected impact of recommended optimizations

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

Empowering Cloud Resource Optimization


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 relates their experience with the Densify optimizer