This project focused on building a centralized observability workflow for a homelab. Instead of checking each machine individually, the goal was to collect useful metrics, logs, and endpoint health information in one dashboard-driven workflow. Public documentation stays high level and avoids exposing private IP plans, credentials, or internal-only service details.

• Prometheus for metrics collection and time-series storage
• Grafana for dashboards and operational visibility
• Loki and Promtail for centralized log collection
• Blackbox Exporter for endpoint and uptime-style checks
• Remote syslog forwarding from Linux systems into the logging workflow

1. Deployed the core monitoring and logging services on a Raspberry Pi host.
2. Configured Prometheus to collect metrics from hosts, containers, and service endpoints.
3. Added centralized logging with Loki, Promtail, and remote syslog forwarding.
4. Built uptime and service checks to improve visibility across the homelab.
5. Created Grafana dashboards to review metrics, logs, and system health in one place.
6. Validated the stack by confirming live metrics, log flow, and endpoint status after changes.

• Reduces time spent logging into multiple systems just to check health status
• Makes noisy failures, restart loops, and repeated auth issues easier to spot
• Builds experience with observability concepts used in real infrastructure environments
• Creates a stronger troubleshooting workflow for both server and network issues

• Metrics collection and service monitoring
• Centralized logging and log review
• Dashboard design for troubleshooting and visibility
• Operational documentation and change validation

• Add alerting for repeated authentication failures and service downtime
• Create sanitized architecture diagrams for the documentation
• Expand dashboards with more security-oriented log views