tomevault-io Analytics Skills
Skills for implementing observability, dashboards, and analytics on Azure.
Available Skills
| Skill | Description | When to Use |
|---|---|---|
| kql | Generate KQL queries for Log Analytics | Querying logs and metrics |
| dashboards | Create Azure Workbooks | Building monitoring dashboards |
| metrics | Define custom metrics | Tracking business KPIs |
| alerts | Configure Azure Monitor alerts | Setting up alerting |
Azure Specialization
The analytics role is expert in Azure Monitor ecosystem:
- Log Analytics: KQL queries, workspace management
- Application Insights: APM, distributed tracing, availability tests
- Azure Workbooks: Interactive dashboards
- Azure Monitor Alerts: Action groups, smart detection
- Azure Data Explorer: Large-scale analytics
Quick Reference
KQL Basics
// Filter and project
requests
| where timestamp > ago(1h)
| where success == false
| project timestamp, name, resultCode, duration
| order by timestamp desc
// Aggregation
requests
| summarize count(), avg(duration) by bin(timestamp, 5m)
| render timechart
Dashboard Structure
Dashboard
├── Overview Section
│ ├── Key metrics summary
│ └── Health status
├── Performance Section
│ ├── Response times
│ └── Throughput
├── Errors Section
│ ├── Error rate
│ └── Top errors
└── Resources Section
├── CPU/Memory
└── Scaling events
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