All Tools
G
MonitoringFreeOpen Source
GRAPHITE
Scalable time-series metrics storage and graphing
Apache-2.0
ABOUT
AI applications emit millions of time-series data points — per-request latency, model accuracy drift, GPU utilization, cache miss rates — that need to be stored and queried historically without overwhelming the monitoring pipeline. Graphite provides a purpose-built time-series database (Whisper) that stores numeric data at configurable retention granularities, a rendering engine that generates graphs on demand, and a powerful function API for aggregating, smoothing, and transforming metrics at query time. Its simple text-based protocol and wide backend support make it the standard storage layer for StatsD-collected metrics.
INSTALL
pip install graphite-webINTEGRATION GUIDE
1. Store and visualize historical GPU utilization metrics across weeks of training runs
2. Track model inference latency trends over time with moving averages and percentile aggregations
3. Monitor embedding cache hit ratios with Graphite's consolidation and rollup functions
4. Compare A/B deployment metrics (error rate, throughput, tail latency) across model versions
5. Alert on metric anomalies using Graphite's data transformation functions for baseline deviation detection
TAGS
monitoringtime-seriesmetricsvisualizationgraphing