The Challenge
A startup needed a platform that could deploy Kubernetes clusters with a single click — across AWS, Azure, and on-premise environments. The platform had to provision GPU resources for ML workloads, manage cluster lifecycle automatically, and support teams with zero Kubernetes expertise.
Traditional approaches required weeks of manual configuration per cluster. The founding team needed infrastructure that could scale from proof-of-concept to production without re-architecting.
What We Built
Eprecisio was brought in from day one. We led a team of 4 engineers to design and build the entire platform:
One-Click Cluster Deployment: Automated provisioning across AWS EKS, Azure AKS, and on-premise VMware environments with a unified control plane.GPU Resource Management: Built intelligent GPU scheduling and provisioning using NVIDIA device plugins and custom resource allocators, enabling ML teams to request GPU compute on demand.Automated Cluster Lifecycle: Implemented ArgoCD-based GitOps for cluster configuration management, automated upgrades, health monitoring, and self-healing capabilities.Multi-Cloud Terraform Modules: Created reusable, tested Terraform modules for each cloud provider, reducing new environment setup from weeks to hours.Kubeflow Integration: Pre-configured Kubeflow pipelines for ML model training and deployment, so data science teams could start working immediately on new clusters.
Results
60% reduction in ML setup time — from weeks of manual configuration to hours with automated pipelines40% improvement in release velocity — GitOps-based deployment eliminated manual release processesZero-downtime cluster upgrades — rolling updates and canary deployments became the defaultCross-cloud portability — workloads could move between AWS, Azure, and on-prem with configuration changes only
The Impact
The platform became the foundation for the startup's product offering. What started as an internal tool evolved into a commercial product serving multiple enterprise customers. Eprecisio's early involvement meant the architecture was production-grade from the start — not retrofitted later.