Cost Analysis
The /cost command analyzes your cloud spending, identifies waste, and projects future costs. NeuBird queries AWS Cost Explorer, Datadog billing data, and resource utilization metrics to produce actionable savings recommendations.
Usage
/cost # 24-hour lookback (default)
/cost 7d # 7-day lookback
What it analyzes
- Top cost drivers — services ranked by spend with 30-day projections
- Idle resources — EC2 instances, RDS clusters, and ElastiCache nodes with low utilization
- Metric cardinality — high-cardinality Datadog metrics driving observability costs
- Log volume — excessive log output and missing log level filters
- Over-provisioning — resources sized larger than their actual usage requires
Savings categories
The report separates findings into two categories:
Quick Wins — savings achievable with minimal engineering effort (terminate idle instances, adjust tag filters, enable lifecycle policies).
Engineering Projects — larger savings that require code or architecture changes (custom metric cleanup, right-sizing, log restructuring).
Each recommendation includes an estimated monthly savings and effort level.