3 posts tagged with "Observability"

RAG systems fail in production for predictable reasons: retrieval quality degrades silently, embedding drift goes undetected, LLM latency spikes under load, and observability is bolted on after incidents. This blueprint addresses all four with a complete operational architecture.

Most engineering teams operate in reactive mode — waiting for alerts, scrambling to diagnose incidents, and applying fixes under pressure. AIOps changes this fundamentally by applying machine learning to operational data, enabling teams to predict issues before they impact users.

Observability isn't about collecting more data — it's about asking better questions. In 2026, the observability landscape has matured significantly, and there's a clear winning stack for most teams. Here's how to build it.