OpenCost

model_training MLOps: Machine Learning OperationsTake predictive ML models from notebook to reliable, monitored, governed production on Kubernetes and cloud.

• ML Platform Engineering at Scale › Cost and Capacity Management for ML

layers Platform Engineering & Internal Developer PlatformsBuild internal developer platforms as products: golden paths, self-service APIs and guardrails at scale.

• Operating, Measuring & AI-Enabling the Platform › Cost Visibility & Showback

savings FinOps: Cloud & Technology Financial OperationsGet more value from every cloud, AI and SaaS dollar with shared data, engineering action and accountability.

• Kubernetes & Container Cost Management › Kubernetes Cost Allocation with OpenCost

smart_toy LLMOps: Operating LLM, RAG and Agent ApplicationsBuild, evaluate, serve, observe and secure LLM, RAG and agent applications in production at a sane cost.

• Observability, Gateways and Cost Control › Cost and Latency Engineering