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logging
5 postsBeyond Logs: Why Metrics, Traces, and Cardinality Matter Most
A practical breakdown of metrics vs traces vs logs in observability, cardinality pitfalls, and why logs-to-metrics pipelines are an anti-pattern.
Request Logging: Tracing Production Requests with Correlation IDs
Why correlation IDs and structured logs are essential for request logging. A practical look at Fastify, Express, pino, and AsyncLocalStorage for production debugging.
No Standard Defines What to Record for an LLM Call, So I Built One
Johannes built a recording system for LLM calls to enhance AI traceability and reliability.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comlog4k 2.3.0 — Kotlin IR Compiler Plugin for Tracing, Logging, and Metrics
log4k 2.3.0 is a compiler plugin for Kotlin that provides tracing and logging functionality.
Java Logging in Production: Sync, Async, Flush, and Durability Explained
Explore the differences between synchronous and asynchronous logging, flushing operations, and durability in Java logging systems.