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Back to Showcase
SAMPLE SHOWCASEProjectIT & Technology

Cloud Cost Anomaly Monitor

A lightweight cloud engineering project that detects unusual infrastructure spend and sends explainable alerts before monthly costs drift out of control.

By Ravin Silva (Demo)Cloud EngineerProfessional
Demo content only

This item is used to test the ADE Showcase experience. It is not a real member submission and it does not carry ADE verification.

Cloud cost anomaly monitoring project preview
8
Services monitored
Daily
Alert cycle
4
Prototype functions
PROJECT STORY

Problem / brief

A fictional SaaS team noticed cost spikes only after invoices arrived. They needed an inexpensive way to compare recent spend against expected patterns and explain which service or environment caused a deviation.

Approach

The solution ingested daily billing exports, calculated rolling baselines, applied configurable anomaly thresholds and generated alerts with service-level context. The prototype used Python for processing, SQL for historical queries and a simple scheduled cloud function for automation.

Outcome

The demo flagged synthetic cost spikes within one daily cycle and attached enough context for an engineer to investigate quickly. The project is presented as an engineering case study with architecture, assumptions and failure considerations.

Evidence included
Architecture diagram

Billing export, processing and alert flow

Detection logic

Baseline and threshold approach

Sample alert payload

Service, deviation and investigation context

Failure notes

False positives, missing data and scaling considerations

PROJECT SNAPSHOT
Role
Cloud engineer
Timeframe
2 weeks
Skills demonstrated
PythonAWSSQLAutomationCloud Architecture
Verification
Not ADE verified

Because this is sample content, ADE does not display a verified badge. Real work receives that label only when an active verification record exists.

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ADE V2 beta review build • Subscription catalogue live • Payments disabled during testing