EZ Server Monitor

EZ Server Monitor continuously checks the health of multiple endpoints using synthetic checks or dedicated data feeds. It computes uptime, mean latency, p95 latency, and error rates, and stores results for trend analysis. The data model supports grouping by service, environment, and geographic region to enable SLA reporting and incident reviews. Checks can be defined per endpoint or in bulk by service, and results are timestamped with UTC to support cross-region comparisons. It also records status codes, response times, and success/failure outcomes for auditing and post mortem investigations. Data retention policies can be configured to preserve history for a defined period, balancing operational needs with storage usage.
Key differentiators include cloud-agnostic checks that run from configurable locations, cross-endpoint correlation to distinguish local issues from global outages, and a transparent schema suitable for automation, audits, and post mortems. It supports rolling windows, alert thresholds, and exportable metrics. Advanced features include maintenance window awareness, anomaly detection, and SLA reporting dashboards. Alerts can route to email, Slack, PagerDuty, or webhooks, with suppression rules during known events and escalation paths for unresolved alerts.
Common use cases include API health monitoring, website and microservice availability, latency tracking across service meshes, and on-call readiness. It is designed for DevOps, SREs, and IT operations teams requiring reliable metrics, alerting, and historical trends for capacity planning and reliability improvements.
Operational workflows include setting up endpoints, configuring check intervals and timeouts, enabling alerts, and reviewing dashboards. Data can be exported as JSON or CSV, and results can feed external dashboards or incident response tools. The free tier offers essential monitoring with scalable options for larger deployments and configurable data retention to support audits and compliance.