2 min read
What is LLMOps?
LLMOps extends MLOps for prompt-driven, evaluation-heavy systems built on foundation models and retrieval workflows.
Production AI Engineering
MLOps Deep Dive
Deep technical guides on MLOps, LLMOps, and scalable AI systems
Architecture notes, operational playbooks, and implementation guides for teams building reliable ML platforms and LLM-powered products.
Focus Areas
- Model deployment pipelines and rollout safety
- Evaluation systems for LLM applications
- Observability, tracing, and cost-aware inference
Publishing cadence
Weekly
Primary audience
Platform teams
Featured Topics
Engineering themes across the stack
MLOps
Tactical guides and implementation notes for real-world AI platform engineering.
LLMOps
Tactical guides and implementation notes for real-world AI platform engineering.
Distributed Systems
Tactical guides and implementation notes for real-world AI platform engineering.
AI Infra
Tactical guides and implementation notes for real-world AI platform engineering.
Latest Posts
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2 min read
Introduction to MLOps
A practical introduction to MLOps and the core systems required to take models from notebooks into production.
About
Built for practitioners shipping AI systems
I write practical engineering notes on deploying, operating, and scaling machine learning systems in production.
The blog is optimized for solo writing: content-first pages, Markdown authoring, static delivery, and a structure that is easy to extend over time.
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