Own the data platform. Know what's running on it.
You built the infrastructure. reCost shows you how every team is using it, what's consuming your S3 budget, which IAM roles diverged from your IaC, and which services are quietly misbehaving.
Book a DemoPlatform teams are accountable for things they can't see
Invisible cost drivers
S3 bills grow. Everyone asks platform why. CloudWatch shows bucket totals but can't tell you which pipeline, team, or table is responsible for the spike.
IaC drift goes undetected
Developers provision IAM roles manually or update policies outside Terraform. Live access diverges from your code silently. You find out in a security audit.
Services misbehaving at scale
A Lambda with a 96% S3 error rate. A Glue job re-reading the same partition 40,000 times. These patterns are invisible in CloudWatch but obvious in S3 access logs.
Full visibility into how the platform is actually being used
reCost gives platform teams the layer of observability that AWS doesn't provide natively: who is using what, at what cost, with what behavior, and where it diverges from your intended architecture.
- Per-team and per-pipeline S3 cost attribution
- IAM role inventory with request volume and access patterns
- IaC drift detection: live access vs Terraform or CDK state
- Service error rate tracking across all writers and readers
- New IAM principal alerts when unknown roles access your buckets
- 25+ AWS service auto-detection and classification
- Cross-account access mapped to assuming principals
We found a Lambda with a 96% S3 error rate that had been running for months. Nothing in our existing monitoring had caught it. reCost flagged it in the first scan.
Start with proof,
not a pitch.
Scoped read-only role, 30-day lookback, results in 48 hours.