Always-On AI Is Becoming a Network Engineering Problem
As AI inference shifts from periodic workloads to continuous traffic, organizations need new capacity models spanning edge, backbone, and application layers.
Platform engineering and observability. eBPF enthusiast and green software advocate.
7 articles
As AI inference shifts from periodic workloads to continuous traffic, organizations need new capacity models spanning edge, backbone, and application layers.
Teams are using kernel-level telemetry to shorten incident response while tightening production safeguards.
Signals from GitHub Changelog and community practices suggest a major process redesign in product engineering teams.
Security teams are preparing for cryptographic transition windows that span years.
SBOM and provenance requirements are increasingly tied to procurement and compliance.
Kernel-level telemetry is enabling shared visibility for reliability and threat detection.
Teams combine lexical, vector, and reranking layers to improve retrieval reliability.