2+ hour, 26+ min ago  (510+ words) In the previous post, I showed how every saga event gets vectorized into pgvector. Now let's use that data. When a saga fails, the Operations Agent searches for similar past incidents and uses them to diagnose the current failure. The…...

7+ hour, 4+ min ago  (205+ words) Regi'n: us-east-1 Duraci'n estimada: 3555 minutos Costo-riesgo: Medio Certificaci'n: AWS Certified. .. Tagged with aws, cloudskills, tutorial, cloudtrail....

4+ hour, 35+ min ago  (1319+ words) Questions teams should ask before replacing vendor agents with Open Telemetry. Today, I want to share some lessons from migrating an "...

5+ hour, 33+ min ago  (122+ words) The standard observability stack: Grafana + Loki + Tempo + Prometheus. Four services to deploy, four. .. Tagged with opensource, dotnet, docker, monitoring....

10+ hour, 57+ min ago  (992+ words) Even well-tested agents make mistakes. A model might misinterpret a user request, hallucinate an action, or hit an edge case the training data never covered. In low-stakes contexts (generating a report, drafting an email), mistakes are annoying. In high-stakes contexts…...

13+ hour, 5+ min ago  (802+ words) Trishul SNMP Suite 2. 0. 1 turns a useful SNMP UI into a cleaner bundle-first platform with in-house MIB and runtime libraries, better trap flows, smarter browsing, and simpler deployment. Tagged with snmp, python, fastapi, opensource....

8+ hour, 44+ min ago  (32+ words) The fundamental impossibility. What at-least-once actually means for your consumers. The first time I configured a Kafka consumer, I "...

13+ hour, 49+ min ago  (351+ words) We run an enterprise agent product. Sales-ops automations mostly. Each user task ends up as a chain of 8-40 tool calls across a planner model, a worker model, and roughly 12 internal tools. For the last quarter my team has been building…...

9+ hour, 30+ min ago  (31+ words) The Slack message was three words. "Production is down." No question mark. No context. Just a statement sitting in your "...

14+ hour, 27+ min ago  (334+ words) Part 5 of a series on building reliable AI systems So far in this series, we explored: But there's a major gap between: "The system passed evaluation" "The system is behaving reliably in production." That gap is where observability becomes critical....