Overview
Our client is a leading the commercial space station developer that needed to modernize traditional workstation-based infrastructure to support faster, more secure, and more compliant engineering and research workloads.
INDUSTRY
Space Technology
SERVICES/PLATFORMS
Cloud
Our client, a leading commercial spaceflight provider relied on traditional, workstation-based setups that struggled to scale, slowed onboarding, and made secure collaboration across distributed teams difficult. To address this, Relevance Lab implemented a pre-built, cloud-native solution using AWS Research and Engineering Studio (RES), enabling engineers and researchers to securely access specialized scientific and engineering software in the cloud without requiring deep cloud expertise.
Friction Points
- Workstation Performance Limits: Physical workstations could not keep up with increasingly compute-intensive simulations.
- Complex Tool Management: Installing and licensing specialized engineering software was complex and time-consuming.
- Slow Onboarding: Bringing engineers and researchers onto the right tools and environments took too long.
- Limited Remote Collaboration: Distributed teams had limited ability to access and collaborate on shared environments.
- Compliance Constraints: Regulatory requirements slowed cloud adoption for sensitive workloads.
Solution
- On-Demand Workspaces: Enabled engineers to launch Windows or Linux desktops in minutes through a secure, self-service portal.
- Pre-Configured Engineering Software: Delivered tools such as Ansys, Cadence, and Synopsys through validated cloud workspaces with centralized license server integration.
- Secure, Private Deployment: Ran the solution inside enterprise landing zones with private networking and centralized identity integration.
- Multi-Environment Support: Operated across both AWS Commercial and AWS GovCloud to meet regulatory and data sovereignty requirements.
- Infrastructure-as-Code Foundation: Built on AWS RES with a repeatable, HPC-ready architecture designed for future scaling.
Impact
- Faster Onboarding: Reduced time to productivity for engineering and research teams.
- Improved Productivity: Gave scientists and designers consistent, ready-to-use environments.
- Stronger Compliance Posture: Aligned the environment with enterprise and regulatory requirements.
- Eliminated Workstation Bottlenecks: Reduced dependence on physical infrastructure.
- Scalable Foundation: Established a base to support future HPC and AI workloads.