About LLMOps Report
Operating LLMs in production — eval, observability, cost, latency.
What this site covers
LLMOps Report covers the part of the work that starts after the demo succeeds: evaluation that catches a regression before users do, observability that explains a bad answer after the fact, and the cost and latency arithmetic that decides the serving architecture. Every piece is written for someone who has to operate the system on call, not for someone choosing a vendor.
- Serving stacks — vLLM, SGLang, TensorRT-LLM — and what they cost per token
- Cost and latency trade-offs: self-host versus API, serverless versus dedicated GPU
- Evaluation pipelines that gate a deploy rather than decorate a dashboard
- Online observability, tracing, and per-feature spend attribution
- Retrieval infrastructure: vector databases, RAG failure modes, semantic caching
- Prompt versioning, model registries, and drift in non-deterministic systems
- The open-source LLMOps tooling landscape, layer by layer
19 articles are published so far. New ones are announced on the RSS feed.
Where to start
LLMOps best practices is the overview the rest of the archive hangs off. LLMOps tools on GitHub maps the open-source stack layer by layer, and self-hosting an LLM vs API cost covers the decision most teams get wrong first. The LLM cost and latency estimator turns those cost arguments into a number for a specific traffic shape; it runs entirely in the browser and sends nothing anywhere. The full archive is at all articles, grouped by subject on the topics index.
How these articles are produced
Articles here are researched from primary sources: vendor and project documentation, published standards and specifications, research papers and preprints, and measurements published by whoever took them. Drafts are produced with AI assistance and then edited against those cited sources before anything is published.
No article on this site is based on first-hand testing in a private lab, and nothing here should be read as a measurement report of its own. Where a number appears, it comes from a source that is named, so you can check the original instead of taking this site's word for it.
Everything is published under a single editorial byline. That byline is a publishing identity for the site, not a claim about a named individual, and it does not carry professional credentials.
Corrections
Corrections are welcome. If something here is wrong, out of date, or attributed to the wrong source, email hello@llmops.report with the page address and what it should say. Substantive corrections are made in the article itself rather than quietly dropped.
How this site is funded
This site currently runs no affiliate links, sponsored posts, display advertising or paid placements. If that changes, the disclosure page will say so.
Contact
Email: hello@llmops.report
Site: llmops.report
Published by: LLMOps Report Editorial
See also the privacy policy, the terms of use, and the editorial disclosure.