cost-management6 min read
AI Cost Monitoring — Tracking Every Dollar Spent on LLM APIs
Implement cost attribution, anomaly detection, and forecasting to prevent runaway LLM spending and optimize your AI infrastructure.
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Observability
17 articles
ebpf5 min read
eBPF for Backend Engineers — Zero-Instrumentation Observability
Observe traffic and performance at the kernel level with eBPF. No code changes needed. Learn Cilium, Parca, and continuous profiling.
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ebpf10 min read
eBPF for Production Observability — Zero-Instrumentation Performance Profiling
What eBPF actually is, Cilium for network observability, Parca for continuous profiling, BCC tools, eBPF vs traditional APM, and production safety considerations.
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grafana8 min read
The Grafana LGTM Stack — Logs, Metrics, Traces, and Profiles in One Platform
Unify logs, metrics, traces, and profiles in Grafana. Learn Prometheus recording rules, Loki LogQL, Tempo distributed tracing, and correlate signals for faster incident resolution.
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health-checks11 min read
Health Check Patterns — Liveness, Readiness, and Deep Dependency Checks
Design Kubernetes health checks, dependency health aggregation, and graceful degradation. Learn when to check dependencies and avoid cascading failures.
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observability6 min read
LLM Observability in Production — Tracing Every Token From Request to Response
Master end-to-end LLM observability with OpenTelemetry spans, Langfuse tracing, and token-level cost tracking to catch production issues before users do.
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backend11 min read
LLM Observability — Tracing Prompts, Tokens, Latency, and Cost in Production
Implement comprehensive LLM observability with LangSmith/LangFuse integration, token tracking, latency monitoring, cost attribution, quality scoring, and degradation alerts.
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logging10 min read
Log Aggregation at Scale — Structured Logging, Loki, and Querying Millions of Log Lines
Structured logging with pino, log levels, Loki setup, LogQL queries, log sampling, correlation IDs, and cost optimization for high-volume services.
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backend5 min read
Logging Everything and Nothing Useful — The Noise Problem
Your logs are full. Gigabytes per hour. Health check pings, SQL query text, Redis GET/SET for every cached value. When a real error occurs, it''s buried under 50,000 noise lines. You log everything and still can''t find what you need in a production incident.
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backend4 min read
No Observability Strategy — Flying Blind in Production
Something is wrong in production. Response times spiked. Users are complaining. You SSH into a server and grep logs. You have no metrics, no traces, no dashboards. You''re debugging a distributed system with no instruments — and you will be for hours.
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observability9 min read
Building Observability From Scratch — Metrics, Logs, and Traces Without the Complexity
Implement the three pillars: Prometheus metrics, Loki structured logging, and Tempo distributed tracing. Correlate with trace IDs for complete request visibility.
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opentelemetry9 min read
OpenTelemetry for AI Systems — Tracing LLM Calls, Token Usage, and Agent Loops
Trace LLM inference with OpenTelemetry semantic conventions. Monitor token counts, latency, agent loops, and RAG pipeline steps with structured observability.
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observability8 min read
OpenTelemetry Full Setup — Vendor-Neutral Observability for Node.js
Deploy OpenTelemetry with auto-instrumentation, custom spans, metrics, and the Collector pipeline. Export to Jaeger, Tempo, or Datadog.
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observability9 min read
OpenTelemetry in Node.js — Distributed Tracing From Zero to Production
Complete OpenTelemetry setup for Node.js, auto-instrumentation, custom spans, trace propagation, OTLP export to Tempo/Jaeger, sampling strategies, and production alerting.
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RAG12 min read
Monitoring RAG in Production — What to Track When Your Chatbot Goes Live
Build comprehensive monitoring for RAG systems tracking retrieval quality, generation speed, user feedback, and cost metrics to detect quality drift in production.
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istio9 min read
Service Mesh With Istio — mTLS, Traffic Management, and Observability for Free
Deploy Istio service mesh for automatic mTLS, traffic management, and observability. Learn sidecar injection, mTLS enforcement, canary deployments with VirtualService, circuit breaking, distributed tracing, and when a service mesh is overkill.
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nodejs9 min read
logixia 1.3.1 — Async-First Logging That Doesn't Block Your Node.js App
Most loggers are synchronous — they block your event loop writing to disk or a remote service. logixia is async-first, with non-blocking transports for PostgreSQL, MySQL, MongoDB, SQLite, file rotation, Kafka, WebSocket, log search, field redaction, and OpenTelemetry request tracing via AsyncLocalStorage.
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