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SDLC for Terraform at scale
Solid Potential DevOps Engineers created terraform-based solution currently supports hundreds of monthly deployments by dozens of Platform/DevOps Engineers from different departments.
AI Platforms with Kubeflow
Solid Potential DevOps Engineers delivered a Kubeflow deployment on Google Cloud’s Kubernetes Engine. The solution includes an array of features, including authentication, scaling, and cost management. This infrastructure-as-code solution gave our customer a unified solution to train ML models and was a big stepping stone toward adopting AI in the company.
Self Service infrastructure
The self-service paradigm is where the teams or managers can get an instance of a configured and work-ready environment by filling out a form or work order. We provided this capability to our customers to request AI training and serving environments based on Google Cloud’s Vertex AI product suite.