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Cloud & DevOps · Major Project
Cloud Cost Monitoring Dashboard
Billing data charted by service, with anomaly flags and budget alerts
2-3 weeks build
Overview
A dashboard that tells a team where its cloud money goes before the invoice does. It ingests AWS Cost and Usage Report exports, stores daily spend by service and tag, flags days that break from the usual pattern and emails an alert when a budget is on course to be exceeded. A generated sample billing dataset ships with the kit, so the full demo works without a paid cloud account.
What makes it stand up
- 01Ingests AWS Cost and Usage Report CSV exports into PostgreSQL
- 02Spend broken down by service, tag and day
- 03Anomaly flags from a rolling baseline and an Isolation Forest
- 04Budget forecasts that alert before the limit, not after
- 05Sample billing dataset included, so no cloud bill is needed to demo
Module breakdown
- 01
Ingestion
Parses billing exports and normalises them into a daily spend table.
- 02
Explorer
Streamlit views by service, tag, account and date range.
- 03
Anomalies
Rolling z-score and Isolation Forest compared on the same series.
- 04
Budgets
Monthly budgets with a linear burn-rate forecast.
- 05
Alerts
Email and Telegram alerts with the service that caused them.
After this, you will be able to
- Explain how cloud pricing is metered and where bills come from
- Defend the anomaly method you chose and its false alarms
- Demo an injected cost spike being flagged and alerted
Technology stack
- Python
- Pandas
- scikit-learn
- Streamlit
- PostgreSQL
- Level
- Major Project
- Domain
- Cloud & DevOps
- Build time
- 2-3 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support