ソース情報
- リポジトリ
- NeuralBlitz/Mito
- ソースの最終更新活動
- 2026年3月22日 13:29
- 検出された SKILL.md の言語
- 英語
- スター
- 0
- フォーク
- 0
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- monitoring-sysadmin
- description
- System monitoring, metrics, alerting, dashboards, and observability
- license
- MIT
- compatibility
- opencode
- metadata
- {"audience":"devops","category":"systems-administration"}
## 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
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