Category
observability
5 articles across 5 sub-topics
LLM Observability: Tracing, Logging, and Debugging Production AI Systems
TLDR: π LLM observability is radically different from traditional APMβnon-deterministic outputs, variable token costs, and multi-step reasoning chains require specialized tracing. LangSmith provides native LangChain integration, OpenTelemetry offers...
Canary Deployment Pattern: Progressive Delivery Guarded by SLOs
TLDR: Canary deployment is useful only when the rollout gates are defined before the rollout starts. Sending 1% of traffic to a bad build is still a bad release if you do not know what metric forces rollback. TLDR: Canary is the practical choice when...
How Fluentd Works: The Unified Logging Layer
TLDR: Fluentd is an open-source data collector that decouples log sources from destinations. It ingests logs from 100+ sources (Nginx, Docker, syslog), normalizes them to JSON, applies filters and transformations, and routes them to 100+ outputs (Ela...
