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AVD Cost Optimization

AVD Cost Optimization

Tame your AVD costs with Hydra: ensure your Azure Virtual Desktop (AVD) environment runs at peak efficiency – delivering the performance users expect, while cutting costs with policy-driven auto-scaling.


Running AVD around the clock drains budgets fast. Too many idle session hosts, oversized VMs, and unpredictable usage patterns make costs spiral. Hydra eliminates the guesswork with automated, flexible scaling policies – so you only pay for what you need, when you need it. 


Faster onboarding and deployment compared with other solutions

Reduction in IT administrative effort with less manual work and scripting

Azure cost savings through dynamic scaling – aligning resources with actual demand


Optimize in Real Time

  • Auto-start and stop VMs based on actual user demand. 
  • Scale out quickly during peak hours, scale in during downtime. 
  • Prevent wasted spend on idle session hosts. 
  • Maintain a consistent user experience without manual intervention. 

Save More with Scheduling

  • Power down resources outside business hours. 
  • Create policies aligned with work patterns or seasonal demand. 
  • Automate shutdowns during weekends or holidays. 
  • Eliminate the need for constant monitoring. 

Flexibility for Any Environment

  • Burst-scale instantly during unexpected demand spikes. 
  • Adjust VM sizes or disk types on the fly. 
  • Apply policies per tenant, group, or workload. 
  • Scale confidently, from small teams to enterprise-level deployments.
Hydra was the missing layer in our AVD setup; imaging used to take hours, now it takes minutes.
Infrastructure Architect
Global Retailer
The self-service portal and automated scaling just work. My team saves time every single week.
 Senior IT Admin
European Finance Org
We were shocked how much Hydra does out-of-the-box. The platform is powerful.
VDI Team Lead
Global Pharma Company

Explore Use Cases

Image Testing

Thoroughly test desktop images for functionality and performance before going live, significantly reducing downtime and increasing deployment confidence.

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Application Validation

Ensure applications perform as expected by simulating real-user activities to verify functionality, compatibility, and performance before deployment.

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Agent Impact Analysis

Make informed decisions to maintain optimal performance when changing system tools and agents, such as endpoint security.

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Resources

Changes are inevitable – disruption doesn’t have to be.