
AI & Machine Learning13 min
OpenTelemetry gen_ai Attributes: 60 Deprecated in 2026
All 60 gen_ai attributes in OpenTelemetry's core semantic conventions are now deprecated. I audited every release: 8 renamed, 2 removed, 50 simply moved.
Tag
20 posts
Page 1 of 2

AI & Machine Learning13 min
All 60 gen_ai attributes in OpenTelemetry's core semantic conventions are now deprecated. I audited every release: 8 renamed, 2 removed, 50 simply moved.

News13 min
AI SRE agents now triage and remediate incidents autonomously. See what Dynatrace, Datadog, and Azure shipped in 2026 — and why humans still approve the fix.

AI & Machine Learning21 min
Instrument a Claude Agent SDK loop with OpenTelemetry in TypeScript: enable trace export, read the claude_code span tree, and ship real spans to a backend.

AI & Machine Learning18 min
Instrument a Claude tool-calling agent with OpenTelemetry GenAI semantic conventions in TypeScript: real spans, nested tool calls, cost tracking. 2026.
Backend Development12 min
Add a correlation ID to every log line in Node.js with built-in AsyncLocalStorage and Express — typed, zero-dependency, plus pino and downstream propagation.
Cloud & DevOps11 min
Add Prometheus metrics to a Node.js + Express app with prom-client: a /metrics endpoint, custom counters and histograms, and safe low-cardinality labels.
Cloud & DevOps15 min
Instrument a Node.js app with OpenTelemetry, run the Collector and Jaeger v2 in Docker, and view distributed traces. Every version pinned and verified, 2026.
Cloud & DevOps24 min
Production Cloudflare Workers observability in 2026: enable Workers Logs, head sampling, wrangler tail, and export OTel traces and logs to Sentry.
AI & Machine Learning11 min
AI error tracking in production: data errors, model errors, and code bugs. Observability, evals, incident response, and the tooling that keeps LLMs reliable.
Cloud & DevOps8 min
A deep-dive guide to implementing a scalable, secure, and actionable monitoring strategy — from metrics and logs to alerting and observability best practices.
AI & Machine Learning11 min
ML model monitoring: detect data drift, concept drift, and fairness regressions before they hit users. Tools, dashboards, and alerts that catch early.
A deep dive into building scalable, secure, and insightful observability platforms — from architecture design to real-world deployment strategies.