The cloud acceleration layer for mission-critical applications
Request a DemoCloud storage today is often built around workarounds – overbuilding infrastructure “just in case,” separating workloads to avoid contention, copying data so more teams can work without slowing production, and constantly tuning, retuning, and firefighting as usage grows. At first, it works.
Then data grows. Concurrency increases. More users, jobs, analytics, and systems begin to depend on the same datasets. The workarounds pile up – and eventually collapse under their own weight.
Costs rise. Complexity explodes. Risk becomes part of daily operations.
Instead of tying performance to capacity and forcing teams to size for worst-case scenarios, Silk decouples performance behavior from data growth and manages it dynamically across shared infrastructure.
That architectural shift changes how cloud environments behave:
With Silk, organizations break the cycle of cloud compromise by ending performance firefighting as users, jobs, and applications scale. They eliminate “just in case” overprovisioning that drives cost without improving stability, while controlling cloud spend without sacrificing predictability. Silk also makes it possible to run more workloads on shared infrastructure without noisy neighbors or surprise slowdowns, recover in minutes from outages or attacks instead of hours or days, and give teams real-time access to production data without copying, delays, or added risk – all without refactoring applications.
Predictable performance. Efficient scale. No architectural tradeoffs.
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