AGENT SKILL

monitoring-sysadmin

System monitoring, metrics, alerting, dashboards, and observability

License 许可
MIT
所属仓库
NeuralBlitz/Mito
最近更新
2026-11-12
Stars
★ 0
Forks
0

01 前言 Front Matter

name
monitoring-sysadmin
license
MIT
metadata
{ "audience": "devops", "category": "systems-administration" }
description
System monitoring, metrics, alerting, dashboards, and observability
compatibility
opencode

03 SKILL.md 正文

What I do

  • Set up comprehensive monitoring systems
  • Configure meaningful alerts
  • Create actionable dashboards
  • Analyze metrics and trends
  • Implement observability
  • Establish SLOs and SLIs

When to use me

When tracking system health, debugging issues, or establishing operational excellence.

The Three Pillars

Metrics (Prometheus, Datadog)

  • Quantitative measurements
  • Time-series data
  • Counters, gauges, histograms
  • Aggregations

Logs (ELK, Loki, Splunk)

  • Detailed event records
  • Structured/unstructured
  • Log levels (DEBUG, INFO, WARN, ERROR)
  • Correlation IDs

Traces (Jaeger, Zipkin)

  • Request flow across services
  • Latency breakdown
  • Distributed tracing
  • Span context

Metrics Types

Golden Signals

  • Latency: Response time
  • Traffic: Requests per second
  • Errors: Error rate
  • Saturation: Resource utilization

RED Metrics (Rate, Errors, Duration)

  • For request-driven services

USE Metrics (Utilization, Saturation, Errors)

  • For resource-driven services

Alerting

Best Practices

  • Alert on symptoms, not causes
  • Tune thresholds
  • Avoid alert fatigue
  • Include context
  • Runbooks for each alert

Severity Levels

  • Critical: Immediate action needed
  • Warning: Attention needed
  • Info: For awareness

Dashboards

Design Principles

  • Show relevant data
  • Include context
  • Time ranges
  • Drill-down capability
  • Shareable links

Common Dashboards

  • Service overview
  • Infrastructure
  • Application performance
  • Business metrics
  • Incident response

Tools

Monitoring

  • Prometheus: Metrics, alerting
  • Datadog: Full-stack
  • CloudWatch: AWS
  • Stackdriver: GCP

Visualization

  • Grafana: Dashboards
  • Kibana: Logs

Logging

  • ELK Stack: Elasticsearch, Logstash, Kibana
  • Loki: Promtail + Loki + Grafana
  • Splunk: Enterprise

Tracing

  • Jaeger: Distributed tracing
  • Zipkin: Twitter's tracer
  • AWS X-Ray: Cloud

SRE Concepts

SLI (Service Level Indicator)

  • Metric measuring service level
  • Request latency
  • Error rate
  • Availability

SLO (Service Level Objective)

  • Target SLI value
  • "99.9% of requests < 200ms"

SLA (Service Level Agreement)

  • Customer-facing commitment
  • SLO + consequences

04 同仓库更多 Skills