Background: A Computational Bottleneck
An engineering firm specialized in complex fluid dynamics simulations for aerospace design. These simulations were crucial, but they could take weeks to run on the firm’s own computers. This slow process was seriously delaying product development.
The Challenge: Needing More Power, Flexibly
The firm needed to drastically reduce simulation times without buying expensive new hardware. Their ideal solution had to:
Use cloud computing for extra power during big projects.
Work smoothly with their existing on-site systems and software.
Keep their valuable design data completely secure.
Our Solution: Building a Hybrid Cloud Environment
We created a secure, high-performance system that blended their on-site setup with the cloud. The solution had three key components:
A Unified Job Scheduler: First, we connected their local system to the cloud. When their own computers were full, the system automatically created a temporary, powerful cluster in the cloud to handle the extra work.
Efficient Data Synchronization: To avoid slow data transfers, we set up a synchronized file system between their location and the cloud. This ensured data was ready for the cloud servers when needed.
Consistent Software Containers: Finally, we packaged their simulation software into containers. This guaranteed that every simulation would run exactly the same way, whether on-site or in the cloud.
The Impact: Faster Innovation and Lower Costs
The new hybrid system delivered outstanding results.
Dramatically Faster Results: Simulations that once took 14 days now finished in under 3 days. This was possible because the firm could use thousands of cloud computers at once.
Smarter Spending: The firm moved from a large, upfront investment to a flexible pay-as-you-go model. Ultimately, this shift reduced their computing costs by an estimated 30%.
A Boost for Innovation: Most importantly, engineers could now test more designs and achieve better results much faster. This new capability gave them a major competitive advantage.
In summary, the hybrid solution gave the firm the power of a supercomputer without the high cost and maintenance of owning one.