Case Study
The M&E and Gaming industries moved to the cloud faster than most — but the tooling didn't keep up. Studios needed their artists working remotely without sending production data outside the company network. Render farms had to scale on demand without waiting weeks for hardware procurement. And the solution had to work across regions, across clouds, and across clients with different existing stacks. The challenge wasn't just technical — it was architectural: building something flexible enough to be deployed repeatedly, across different organizations, without rebuilding from scratch each time.
Renaiss designed and deployed a multi-tenant, multi-cloud VDI solution built to be reusable at its core and customizable at its edges. The foundational layer consists of Terraform modules that convert a cloud region into a fully operational company site — VPNs, Active Directory connectors, and custom gateways configured to deliver high-performance remote desktop connectivity with low latency and high refresh rates.
On top of that layer, a web platform gives admins direct control over dynamic cloud resources across AWS EC2 and Azure AVD. The architecture was designed for flexibility: each tenant can integrate their own cloud services or on-premises resources without modifying the core. New clients onboard fast. The infrastructure holds.
Artists and engineers onboarded from anywhere in the world, without relocating hardware or compromising access quality.
Global render farms connected directly to data sources — no bottlenecks between the artist and the final output.
Cloud workstations replaced physical setups, eliminating procurement cycles, maintenance costs, and hardware obsolescence.
Data never leaves the hybrid environment. Artists access it through industry-standard remote protocols — efficient and secure by design.
Data never leaves the hybrid environment. Artists access it through industry-standard remote protocols — efficient and secure by design.
A single core architecture that spins up across customer accounts in days — not months.
Discovery & Requirements Mapping
We assessed each client's existing infrastructure, security policies, and artist workflows to define the right multi-cloud configuration before writing a single line of code.
Foundational Infrastructure Deployment
We deployed Terraform modules to convert cloud regions into fully operational company sites — including VPNs, Active Directory connectors, and custom gateways optimized for remote desktop performance.
VDI & Remote Access Configuration
We deployed Terraform modules to convert cloud regions into fully operational company sites — including VPNs, Active Directory connectors, and custom gateways optimized for remote desktop performance.
Render Farm Integration
We connected global render farms directly to client data sources, replacing slow local pipelines with cloud-accelerated workflows that scale with production demand.
Management Platform & Onboarding
We built a web platform for admins to manage dynamic cloud resources across AWS and Azure, and designed the onboarding flow so new tenants could go live fast — with minimal friction and full security from day one.
Multi-tenant, fast to deploy
A single core architecture that spins up across customer accounts in days — not months.
Nearshore means hiring a tech team in a country geographically and culturally close to yours — typically within 1–3 time zones. For US companies, that means Latin America. You get real-time collaboration, overlapping work hours, and engineers who operate in English, without the communication friction that comes with offshore teams 10+ hours away.
We're based in Argentina — UTC-3. That means 4–5 hours ahead of the US West Coast and 2 hours ahead of the East Coast. In practice, we maintain a daily overlap of 4–6 hours with most US-based teams, which covers standups, code reviews, and real-time problem-solving without anyone working at midnight.
Our work sits at the intersection of cloud infrastructure, application architecture, and AI. Concretely: cloud-native architecture design, infrastructure automation, platform engineering, data pipelines, and GenAI integration. We don't do generic cloud support — we build and run systems that need to scale.
Our primary depth is in AWS. We also work with Azure and GCP depending on the client's existing stack — the goal is always to work within your environment, not to push a preferred vendor.
Yes — and it's one of the problems we work on most. App modernization usually means one or more of the following: breaking a monolith into services, re-platforming to cloud-native infrastructure, replacing outdated dependencies, or improving the CI/CD pipeline so your team can ship faster. We start with a technical assessment before recommending any approach.
© 2026 - Renaiss with love
