Cloud and Container Optimization for Microsoft Azure

Automatically determine the cloud and container resources required to reduce cost and maximize performance in Azure

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Microsoft Azure Optimization

Optimize Your Azure Virtual Machine (VM) Instances

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

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

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Densify automatically analyzes thousands of containers to determine the optimal settings

DescriptionDensify automatically analyzes thousands of containers to determine optimal settings

Optimize Your Azure Kubernetes Service (AKS) Containers

Densify’s analytics predictively, precisely and continuously determine the appropriate resource settings for your Azure AKS containers allowing you to: 

  • Avoid application performance and stability issues
  • Visualize the overall resource health of your entire Kubernetes environment with Histograms
  • Increase node and cluster utilization by avoiding allocating too much CPU and memory to your applications
  • Ensure cluster resource and namespace quotas are constantly aligned with app team requirements
  • Lower your cloud bill by deploying fewer nodes for the same containers 

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 provides top-down visibility into risks and opportunities across clouds

The Densify Impact Analysis Report for Azure communicates the projected impact of recommended changes to app owners to help with approvals

Integration with Automation API's and IaC

Integration with Automation API’s and IaC

Integrate With CI/CD Pipelines & Automation Tools

  • Free your teams from manually selecting resources
  • Eliminate errors – use APIs to tie directly into infrastructure as code templates like Terraform or Azure Resource Manger 
  • Ensure Performance by continuously aligning resources with application requirements

    Watch a K8s Automated Resource Optimization demo.