Project: Multi-Model AI on Kubernetes
A complete Kubernetes project showing how to deploy, route between, auto-scale, and monitor multiple specialized AI
A complete Kubernetes project showing how to deploy, route between, auto-scale, and monitor multiple specialized AI
One OpenAI-compatible endpoint to unify, route, cache, load-balance, and manage requests across multiple LLM providers with built-in failover, rate limiting, and production-ready observability.
Agentic AI for Autonomous Kubernetes Debugging & Self-Healing Infrastructure (Day 30)
A practical field guide to GPU node pools, model serving with vLLM and Triton, and the dark art of autoscaling inference workloads on GKE and EKS — without setting your cloud bill on fire. (Day 22)
Self-hosting LLMs Local Machines and on EC2/GKE with Ollama — when open-source beats API services (Day 15)
What vectors are, why semantic search matters, and how Pinecone/Weaviate/pgvector fit in (Day 8)
Example: Kubernetes, Terraform, Docker, AWS, MLOps...