- name
- watadot-aws-cloudwatch
- description
- Observability and monitoring by Watadot Studio. Log tailing and metric extraction.
- metadata
- openclaw
- emoji
- 📈
- requires
- anyBins
- [aws]
AWS CloudWatch Skills
Observability and automated monitoring patterns.
🚀 Core Commands
Log Insights
# Live tail of a Log Group
aws logs tail /aws/lambda/<function-name> --follow
# Query logs for errors (last 1h)
aws logs filter-log-events --log-group-name <name> --filter-pattern "ERROR" --start-time $(date -d '1 hour ago' +%s000) --query "events[].message"Metrics & Alarms
# List active alarms with state
aws cloudwatch describe-alarms --query "MetricAlarms[?StateValue==\`ALARM\`].{Name:AlarmName,Reason:StateReason}" --output table
# Get CPU utilization metric for EC2
aws cloudwatch get-metric-statistics --namespace AWS/EC2 --metric-name CPUUtilization --dimensions Name=InstanceId,Value=<id> --period 3600 --statistics Average --start-time 2026-03-15T00:00:00 --end-time 2026-03-16T00:00:00Dashboard Orchestration
# List dashboard names
aws cloudwatch list-dashboards --query "DashboardEntries[].DashboardName"🧠 Best Practices
- Retention Policies: Don't keep logs forever. Set retention (e.g., 14 days) to save storage costs.
- Log Streams: Use unique log stream names for different agent instances to avoid interleaving.
- Structured Logging: Log in JSON format to make filtering and automated analysis via OpenClaw easier.
- Alarms: Set up billing alarms to catch sudden spikes in AWS usage early.