Visibility is Reliability
A system you cannot see is a system you cannot trust. Websters Nexus implements a multi-tier telemetry stack to trace everything from CPU thermal envelopes down to individual Docker container memory leaks.
The Aggregator: Prometheus
At the core of the metrics layer is Prometheus. It uses a pull-based model, routinely scraping endpoints across the local network to build a highly efficient time-series database.
It draws data from several exporters:
- Node Exporter: Grabs bare-metal host metrics (CPU usage, Disk I/O, networking).
- cAdvisor: Connects directly to the Docker socket to rip state, usage, and constraint metrics for every running container.
The Visualization Layer: Grafana
Prometheus provides the raw data, but Grafana makes it beautiful and readable. I’ve configured custom dashboards that allow me to pinpoint exactly which container is causing a bottleneck on I/O.
The Real-Time Analyzer: Netdata
While Prometheus/Grafana is excellent for historical data analysis (e.g., “What happened at 3 AM yesterday?”), I use Netdata for highly granular, real-time, per-second analysis. Netdata’s zero-configuration deployment and incredibly detailed live-dashboards make it the perfect tool for instant troubleshooting.
The Maintainer: WUD (What’s Up Docker)
Instead of manually checking GitHub tags for the 34+ containers running in the stack, WUD analyzes my docker-compose files against current registry data and alerts me via automated webhooks when critical security updates or feature releases are available for my stack.