Customer Proof
$2.8M annual cloud storage savings at Franciscan Healthcare
32× faster analytics and ETL workflows at Sentara Health
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REPORT
Gartner Names Silk in the 2026 Hype Cycle
See Gartner's perspective on the technologies shaping strategic cost management.
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Predictable Performance for I/O-Intensive Applications

Deliver your target throughput, latency, and application response time at the right cost.

Calculate Your Savings on Azure

Azure Flexibility Meets Production Reality

Azure provides flexible infrastructure, but application performance can become unpredictable as workloads scale and share resources. Teams often compensate by oversizing VMs and premium disks, tuning infrastructure, and provisioning for peak demand.

Rapid
Predictable Performance

Maintain consistent latency and throughput as workloads and concurrency grow.

LowCost
Control Cloud Costs

Right-size VMs and storage without sacrificing performance or SLAs.

Integrate
Access Live Data Faster

Give analytics, Dev/Test, and AI teams access to production data without creating full copies or disrupting applications.

Cog
Simplify Operations
Reduce constant tuning, resizing, and reactive performance management.
Azure

Built for Azure Architecture

Silk works within existing Azure environments, including Virtual Machines, VM Scale Sets, Managed Disks, Virtual Networks, and Availability Zones - without requiring application changes.

 

Go Deeper on Performance in Azure

Explore how Silk helps organizations improve performance, scale mission-critical workloads, and get more from Azure infrastructure.

See How Silk's Data Layer Adds to Azure

Learn how Silk's software-defined data layer maximizes performance, efficiency, and resiliency beyond native Azure's storage  

Explore the Silk Architecture for Azure

Go under the hood to see how Silk integrates with Azure infrastructure and delivers predictable performance at the data layer.

Learn How to Deliver Predictable Cloud Performance

See how to reduce variability, control costs, and meet application SLAs in the cloud.