Stop Copying Everything: Smarter Data Management Across AWS, Azure & Google Cloud

If you're running workloads across AWS, Azure, or Google Cloud, you've probably felt it: storage costs creeping up, environments drifting out of sync, and teams spinning up copy after copy of the same data just to get work done. 

Data sprawl quietly inflates cloud spend, slows performance, and makes governance a moving target. The more you scale, the harder it gets to control.  

In this live demo, see how Silk enables a smarter approach to data management by eliminating redundant copies and centralizing data intelligently, Silk helps you cut storage overhead, streamline operations, and accelerate workloads without giving up performance or availability.  

What You’ll Learn 

• How to reduce redundant data copies across multi-cloud environments 

• Ways to simplify data management and lower operational complexity 

• How to maintain performance and availability with a centralized approach 

• How Silk helps accelerate workloads across AWS, Azure, and Google Cloud