Monitoring

日志分析与处理

监控与告警

Linux system administration and monitoring

Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.

Testing monitoring and alerting configurations including threshold validation, alert routing, escalation policies, and false-positive rate monitoring.

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

Prometheus Metrics Query & Alert Interpreter — query metrics, interpret timeseries, triage alerts

Track LLM API spend per session and task. Estimate token usage across providers. Warn before you blow your budget.

Monitor deployed apps for uptime and errors. Checks HTTP status, response times, and sends Discord alerts when something goes down. Includes cron setup for automated monitoring.

Manage and monitor homelab servers and Docker using a single binary CLI or AI tools. No dependencies, cross-platform, supports SSH, Wake-on-LAN, Docker management, port scanning, network discovery, and resource alerts.

Structured logging patterns with Pino for Next.js applications. Covers log levels, context enrichment, child loggers, and production best practices.