AI Cost Optimization: Caching, Batching & Right-sizing
Semantic caching, request batching, model cascading — techniques to slash AI infra bills (Day 24)
30 Days of AI30
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Managed AI Services — SageMaker, Vertex AI & Azure ML
When to use managed vs self-hosted, a cloud-by-cloud breakdown for MLOps teams (Day 23)
Deploying AI Models on Kubernetes
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)
MLOps vs LLMOps: What's Different in 2026
Model versioning, prompt versioning, evaluation pipelines — the new ops discipline for AI (Day 21)
AI in CI/CD Pipelines: Smarter Automation
Auto-generating changelogs, test suggestions, deployment summaries, and anomaly detection (Day 20)
AI Security: Prompt Injection, Data Leakage & Supply Chain
New attack surfaces introduced by AI — and how to defend them at the infrastructure level (Day 19)