StarOps - AI Platform Engineer
StarOps is an AI-native platform that lets you deploy and manage production infrastructure, like models, databases, and networks, without a dedicated platform team.
Powered by customizable workflows and a fleet of agents, StarOps helps developers and ML engineers self-host their AI/ML/GenAI stacks with built-in best practices for security, observability, and scalability.
Key Features
- Model deployment: Deploy AI, ML and GenAI models with production-scale inference into AWS with a single click. Complete with CI/CD and corresponding infrastructure-as-code.
- Kubernetes cluster deployment and management: Deploy or manage an existing K8s cluster, with best practices and additional components. Use natural language to scale up or down or troubleshoot kubernetes issues.
- AWS DevOps agent: Provision and decommission infra right from StarOps agent. Generate missing IaC or fix your CI/CD pipelines automatically.
- Deploy Applications: Deploy your vibe-code apps into your own cloud and add missing infrastructure like data stores, or caches or other integrations. Take your v0 app and make it v1.
Benefits
- Accelerate time to market: Give your engineers the boost in velocity and confidence by using vetted workflows for best-practice deployments and achieve results in hours not months.
- Reliability: Cut manual, repetitive and error-prone cloud operations by up to 40%.
- Cost-savings: Use cloud scaling strategies that reduce operating costs and headaches that result from missing or poor configurations.
