Hubs
Research
One page per topic, aggregating every relevant Notifire briefing with an editor\u2019s intro and frequently-asked questions. Designed as a stable starting point for anyone going deep on a subject.
AI
Retrieval-augmented generation (RAG)
What RAG is, why teams adopt it, how graph-enhanced RAG changes the architecture, and the latest releases.
4 frequently asked questions
AI
AI agents and agentic workflows
How AI agents differ from chat assistants, the current frameworks, what they're actually good at, and the failure modes.
3 frequently asked questions
Cybersecurity
Kubernetes security
CVEs in the Kubernetes ecosystem, hardening practices, supply-chain risks, and the policy-engine landscape.
3 frequently asked questions
Database
PostgreSQL at scale
Operating PostgreSQL when the dataset and write rate stop fitting on a single instance — partitioning, replication, vacuum tuning, and the managed-service landscape.
3 frequently asked questions
Cybersecurity
Software supply-chain security
How modern attacks move through dependencies, build systems, and image registries — and the defences (SLSA, sigstore, SBOMs) that block them.
3 frequently asked questions
AI
LLM evaluation
How teams measure whether an LLM application is actually working in production, without relying on vibes.
2 frequently asked questions