The original title is: "Grafana + Prometheus on a Raspberry Pi: Build a Telemetry Dashboard That Actually Stays Up"

Short summary

This guide walks through deploying Grafana and Prometheus on a Raspberry Pi to monitor thermal throttling, memory pressure, disk I/O, and network throughput — the four metrics that catch most failure modes on constrained ARM hardware. It explains why Prometheus's scrape model outperforms Telegraf+InfluxDB on low-memory boards and offers practical tuning tips like dropping scrape intervals to 5 seconds for disk metrics. The article includes Docker Compose configs, dashboard panel guidance, and alerting without AlertManager complexity.

• •Four key metrics — CPU temp, memory pressure, disk I/O wait, network throughput — cover most Pi failure modes
• •Prometheus's scrape model is lighter on constrained hardware than Telegraf+InfluxDB
• •Drop scrape interval to 5s for disk metrics to catch transient SD card I/O spikes

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