#observability
4 posts tagged with #observability
Every article below is hand-written, technically reviewed, and focused on observability. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
AI and Machine Learning AI Agent Observability Logging Schema [2026]: OTel + Redaction
A copy‑paste JSON logging contract for agent runs (spans, tool I/O, cost, retries) plus a minimal OpenTelemetry mapping you can implement in a weekend—without leaking secrets.
Cybersecurity Prevent Sensitive Data Leakage in RAG: The 2026 Playbook
RAG leaks rarely happen in the model. They happen in logs, traces, and vector stores. Here’s a practical 2026 playbook to ship redaction, least-context retrieval, and auditable controls end-to-end.
![developer monitor terminal logs tracing — illustration for article on OpenTelemetry Instrumentation for AI Agents [2026]:](https://img.kunalganglani.com/images/vzekdneq/production/f126a9eb93656ea60adeae440cf4b74ed0b5fb93-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning OpenTelemetry Instrumentation for AI Agents [2026]: Ship It
A vendor-neutral tracing schema for AI agents: model LLM calls, retrieval, tool runs, retries, and token cost as spans. Then dashboard latency, error tax, and cost per successful task.
Cloud and DevOps eBPF Monitoring Is Replacing Sidecars: How Datadog Proved the Cloud-Native Future [2026]
Sidecar proxies had a good run, but eBPF is eating the service mesh from the kernel up. Here's how Datadog's bet on kernel-level observability is reshaping cloud-native monitoring.