Guide Book Accelerate Performance For DBs in the Cloud

Predictable Application Performance — Without Overprovisioning

Silk decouples performance from capacity so you can meet SLAs without oversizing cloud infrastructure

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Performance Variability Breaks SLAs

As cloud environments scale and workloads compete for shared infrastructure, performance becomes inconsistent. To protect applications under peak and concurrent demand, teams are forced into permanent overprovisioning – oversizing storage, adding excess compute, isolating workloads, and constantly tuning infrastructure. 

Silk eliminates the root cause: performance tied to infrastructure sizing. As a software-defined SAN and cloud acceleration layer, Silk delivers latency and throughput dynamically based on real workload demand – not volume size, tiering, or static allocation – making predictable performance the default. 

What Changes With Silk

When performance is no longer tied to capacity: 

  • Latency remains stable as environments scale 
  • Throughput holds under concurrent demand 
  • Live production data can be shared safely 
  • SLAs are achieved by design 

The Silk Performance Advantage

Decouple Performance from Capacity

Silk separates performance from storage size and infrastructure configuration. Instead of tying latency and throughput to volume sizing or tier selection, performance is governed dynamically — allowing teams to meet SLAs without oversizing compute or storage.

Stable Latency at Scale

As environments grow and workloads multiply, performance typically becomes unpredictable. Silk maintains consistent latency even as concurrency increases, ensuring application responsiveness remains steady across production, analytics, and AI workloads.

Shared Infrastructure, Unlimited Performance

Traditional architectures force isolation to prevent contention. Silk enables multiple workloads to safely share infrastructure by governing performance at the data layer — reducing silos while preserving application stability.

Live Data Safely Shared

Analytics and AI initiatives often require production data, but sharing it can introduce risk. With Silk, live data can be accessed without destabilizing primary applications, enabling innovation without compromising performance.

Architectural SLA Delivery

Most teams meet SLAs through manual tuning and excess capacity. Silk makes predictable performance an architectural outcome — removing the need for reactive firefighting and permanent overprovisioning.

How Silk Performance Compares...

To Native Azure Performance
To Native AWS Performance
To Native Google Cloud Performance

Proven Predictable Performance in Production

50%
Higher IOPS compared to native cloud storage
Subms
Latency at scale
20M
Rows/sec SQL Server insert throughput

Make Predictable Performance the Default

Predictable application performance does not come from buying more infrastructure. It comes from fixing how performance is delivered. Silk makes predictable performance an architectural outcome — not a workaround.

Read the Solution Brief