Prometheus

TL;DR After running the cluster for nearly two weeks, today I took a step back to document and optimize the monitoring stack. This covers kube-prometheus-stack (Prometheus + Grafana + AlertManager), Loki for log aggregation, custom dashboards for every service, alert tuning to reduce noise, and the cluster-wide performance benchmarks I ran to establish baseline metrics. The Monitoring Architecture ┌──────────────────────────────────────────────────┐ │ Grafana │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Metrics │ │ Logs │ │ Alerts │ │ │ │ Explorer │ │ Explorer │ │ Rules │ │ │ └──────┬───┘ └──────┬───┘ └──────┬───┘ │ └─────────┼──────────────┼─────────────┼───────────┘ │ │ │ ┌─────┴─────┐ ┌─────┴─────┐ │ │Prometheus │ │ Loki │ │ │ (metrics) │ │ (logs) │ │ └─────┬─────┘ └─────┬─────┘ │ │ │ ┌─────┴──────┐ ┌──────┴──────┐ ┌─────┴────┐ │AlertManager│ │ Exporters │ │Promtail │ │ → Slack │ │ node │ │(log │ └────────────┘ │ kube-state │ │ shipper) │ │ cAdvisor │ └──────────┘ │ custom │ └─────────────┘ kube-prometheus-stack The foundation is kube-prometheus-stack, deployed via Helm. This single chart installs: ...

TL;DR Today I deployed two significant additions to the cluster: an AI-powered Alert Responder that uses AWS Bedrock (Amazon Nova Micro) to analyze Prometheus alerts and post remediation suggestions to Slack, and a multi-user dev workspace with per-user environments. I also hardened the cluster by constraining all workloads to the correct architecture nodes and fixing arm64 scheduling issues. The Alert Responder Running 13+ applications on a homelab cluster means alerts fire regularly. Most are straightforward — high memory, restart loops, certificate expiry warnings — but analyzing each one, determining root cause, and knowing the right remediation command gets tedious, especially at 2 AM. ...