About this skill

Problem

In small DevOps environments, monitoring often gets stuck on a few concrete issues: whether an HTTP service is reachable, whether dependent ports are alive, whether process logs show abnormal patterns, and whether inspection results still require manual assembly. Hard-coded thresholds can create many false alarms from short fluctuations, while single-point status checks may miss trend-based anomalies in logs.

How It Works

devops-monitor is organized around health checks, alerting, log analysis, and inspection reports:

Health checks: supports HTTP/HTTPS, TCP ports, and Ping to verify service endpoints, dependent components, and network connectivity.
Smart alerting: uses dynamic thresholds instead of fixed thresholds to reduce false positives caused by brief jitter.
Log analysis: reads log files and attempts to discover repeated errors, abnormal growth, or obvious anomalous patterns.
Scheduled inspections: runs checks on a schedule and generates inspection reports for traceability.

Boundaries

The skill has full support for HTTP/HTTPS, TCP, Ping, and log files, with partial support for Prometheus. It is better suited for lightweight monitoring, alerting, and inspection assistance, and should not replace a full APM stack, log platform, or Prometheus ecosystem. If you need metrics storage, distributed tracing, or complex capacity planning, a dedicated platform is still required.

Screenshots

Use Cases

Configure HTTP and TCP health checks to catch unavailable APIs or down dependency ports.
Set dynamic alert thresholds for API latency spikes to reduce false positives from brief jitter.
Schedule log file scans to detect repeated errors and abnormal patterns, then generate inspection reports.
Inspect core domains and database ports with Ping and TCP checks, producing archivable stability reports.

Best For

Operations engineers who need continuous checks and alerts for APIs, ports, and logs.
SREs managing small sites who need fewer false positives and scheduled inspection reports.
Engineers investigating app anomalies who need repeated errors and abnormal patterns surfaced from logs.
Delivery engineers who need HTTP, TCP, and Ping results packaged into review reports.