analytics

name	analytics
description	Analytics and observability skills for Azure monitoring

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