Local-first AWS cost analysis and evidence CLI. Read-only by construction.
Detects structural waste in cloud billing exports (AWS/GCP/Azure) using rolling-median + MAD, robust to the masking effect that breaks mean+stddev anomaly detection. Python library, CLI, FastAPI service, and GitHub Action.
Cloud FinOps anomaly detection and cost risk system with spend forecasting, projected overrun detection, business impact scoring, executive dashboard, alerts, and reporting.
STL, Isolation Forest, Z-Score detectors on AWS CUR data — severity-banded alerts + Streamlit dashboard. Cloud Computing term project.
AWS FinOps and Cloud Engineering case study covering cost optimisation, Terraform/Infracost controls, governance, automation and executive decision support using synthetic data.
Operator surface for AWS Cost Anomaly Detection routing, budget breach posture, FinOps ownership clarity, and stop-the-bleed evidence packaging.
AWS Cost Anomaly Detection lab — ML-based spend monitoring with DIMENSIONAL monitor, multi-frequency SNS/email subscriptions, and documented single-account limitations vs. AWS Organizations.
Full AWS Cost Anomaly Detection lifecycle automation — monitor creation, dynamic threshold tuning, Slack alerting, and QuickSight dashboards. Catches cost spikes within hours vs. end-of-month billing surprises.
Terraform module to manage Azure cost anomaly alert rules. Create cost anomaly alert rules to receive daily detailed alerts by email. Support only Azure subscription, other scopes such as billing account (EA/MCA/MPA) or resource groups aren't supported by this service.
Seven detectors for resources that cost money and do nothing — and they never call Azure, so CI proves the logic on every commit at zero cost. Median absolute deviation for month-end forecasting
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