The Logmic journal
Practical writing for developers and operators who want their records to mean something. Explore event design, AI request histories, authorized audio workflows, data quality, logfile handling, and token usage.
Each guide works through a specific question with concrete examples, a clear scope, and a primary reference. Choose a topic below, or follow a tag to connect ideas across the stack.
10 articles · Latest publication first
Trace a model request through timings, retries, tool calls, configuration changes, and outcomes without collecting every message.
Read AI logging: what to capture around a model request
Build interpretable LLM usage records with clear totals, missing-value handling, deduplication, and transparent cost estimates.
Read Token usage logging without storing secrets
Plan the full recording lifecycle, from compatible formats and chunk handling to finalization, interruption tests, and reviewable files.
Read Browser audio recording: a practical reliability guide
Estimate logging volume from event rate, record size, retention, and measured overhead, then account for the work around storage.
Read Logging storage costs: build a transparent capacity estimate
Design purposeful audio logs with participant agreement, useful context, practical quality checks, and clear handling decisions.
Read Audio logging: consent, context, and useful recordings
Design log fields, expiry rules, and deletion checks around the questions your team actually needs to answer.
Read Log redaction and retention: keep useful context, reduce exposure
Use logs for event detail, metrics for measured behavior, and traces for the path of an operation, with a workflow that connects all three.
Read Logs, metrics, and traces: choosing the right signal
Build measurement records with clear timestamp roles, explicit units, quality states, and identities that survive retries and restarts.
Read Data logger design: timestamps, units, and data quality
Design readable events with stable fields, clear outcomes, useful timing, and an investigation query to prove they work.
Read Structured logging: a practical guide to useful events
Build a logfile workflow that preserves event boundaries, follows rotation safely, and makes missing or repeated records visible.
Read JSON logfiles and rotation: a reliable collection workflowExplore a shared question across different kinds of logs. Each collection brings together relevant guides and a useful reading path.
Start with the fundamentals, then follow the signal that matters to your work.