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.
1575 articles
Structured logging with pino, log levels, Loki setup, LogQL queries, log sampling, correlation IDs, and cost optimization for high-volume services.
Audit logs are critical for compliance and debugging. But an audit_logs table that grows without bounds will fill your disk, slow every query that touches it, and eventually crash your database. Here''s how to keep your logs without letting them kill production.
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.
Master LoRA and QLoRA for efficient fine-tuning of open-source models like Llama 2, Mistral, and Phi on limited hardware.
Your feature needs an API from the Platform team, a schema change from the Data team, and a design component from the Design System team. All three teams have their own priorities. Your deadline is in 6 weeks. How you manage this will determine whether you ship.