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Migration patterns, production LLM behaviour, zero-trust inside a cluster. Written by engineers, at the length the subject actually needs, with the parts that went wrong left in.
How ChatGPT, Perplexity, and Google AI Overviews choose what to cite, and the markup, structure, and crawl decisions that decide whether your pages are in the answer.
Newest first. No listicles.
Retrieval quality, not model choice, is what decides whether a RAG system is useful. The chunking, reranking, and evaluation decisions that separate a demo from a system people trust.
Connection exhaustion, autovacuum falling behind, and index bloat arrive in a predictable sequence as a Postgres database grows. Here is the order, and what to do at each step.
Most Kubernetes overspend is idle capacity you requested and never used. How to find it with the data you already have, and the four changes that recover the most.
A deep dive into NetworkPolicies, Istio sidecars, and enforcing strict mutual TLS between internal container workloads.
The tenancy model you pick on day one decides your migration story, your compliance answers, and your per-customer cost for the life of the product. A decision framework with the trade-offs stated plainly.
Strategies for managing rate limits, semantic caching, and token streaming when deploying Large Language Models at scale.
Interaction to Next Paint measures every interaction on the page, not just the first. Why React applications fail it, and the four changes that fix most of the failures.
How to decouple a monolithic legacy system into event-driven microservices without dropping a single production transaction.