When cloud costs spike, teams scramble to answer: “What changed?”
Often the root cause is known — a deployment, new region, or event like Black Friday — but there’s no structured correlation between these events and the cost data.
This slows investigation and increases noise in monthly reporting.
Challenges
- Cost data and events live in separate tools
- RCA takes time and context is often lost
- Knowledge doesn’t carry over across incidents
- Engineers are stuck repeating investigations from scratch
How Costory Helps
Costory ingests technical and business events and aligns them with cost timelines.
Supported inputs include:
- AWS commercial events (SPs, RIs, EDP renewals)
- GitHub metadata (PRs, deploys, labels)
- CI/CD pipelines (custom events via API)
- Manually created events (e.g., traffic spikes, client onboarding)
All events are timestamped and visualized alongside cost time series.
They also improve the accuracy of Digest summaries and ML-driven anomaly detection.
Benefits
- Speeds up root cause analysis with event-aware timelines
- Builds memory across engineering and finance
- Improves accuracy of cost explanations and alerts
- Increases confidence in cost anomaly RCA