Existing distribution centers lacked proactive monitoring, leading to surprise outages and long time-to-detect for infrastructure issues. The team needed customizable checks that matched warehouse workloads rather than generic ping/CPU alerts.

I implemented Icinga-based monitoring with tailored checks and dashboards so ops teams could see problems before they affected throughput. Custom Python scripts captured domain-specific metrics, and alerts routed to on-call responders with actionable context.

Platform

• Icinga for core monitoring, scheduling, and alert routing.
• Linux hosts with MySQL backing store for state and history.

Custom Checks

• Python scripts to monitor warehouse-specific signals (queue depths, message lag, PLC heartbeat proxies, etc.).
• Thresholds tuned to each DC’s workload to reduce noise and highlight true issues.

Dashboards and Alerts

• Visual dashboards for NOC and operations.
• On-call notifications with runbooks linked to each alert type.

• Icinga-based monitoring with MySQL-backed history.
• Python custom checks for domain-specific metrics.
• Actionable alerting with runbook links and tuned thresholds.
• Dashboards for quick situational awareness across DCs.

Operations teams detected issues faster, reducing downtime and unplanned stoppages. Noise levels dropped thanks to tuned thresholds, and on-call responders had clear guidance to remediate problems quickly.