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Build a Cost Optimization Dashboard for Cloud Resources

Track and optimize cloud spending across AWS, Azure, or GCP using a unified dashboard that highlights underutilized resources, spending anomalies, and cost-saving recommendations.
Why Cloud Cost Optimization Matters

As cloud adoption grows, so do unexpected bills from unused instances, over-provisioned storage, or traffic surges. A cost optimization dashboard helps track usage patterns, forecast expenses, and find opportunities to reduce cloud waste.

Project Objectives

Build a responsive dashboard that visualizes cloud resource usage and costs. Integrate billing APIs, apply cost-savings logic, and generate alerts for potential optimizations like unused VMs, expensive data transfers, or idle storage volumes.

Core Features to Include

Multi-Cloud Cost Tracking

Pull cost and usage data from AWS, Azure, and GCP billing APIs into a central view.

Resource Utilization Insights

Correlate usage metrics with cost data to detect over-provisioned or idle resources.

Anomaly Detection & Alerts

Set up alerts for budget breaches, sudden cost spikes, or unexpected service usage.

Optimization Recommendations

Provide tips like switching to reserved instances, downsizing VMs, or auto-shutdown scheduling.

Architecture Overview

The system periodically fetches billing and usage data from cloud providers. A backend engine processes the data and stores it for visualization and optimization logic. The frontend provides interactive charts and insights for decision-making.

  • Data Sources: AWS Cost Explorer, Azure Consumption API, GCP Billing Catalog
  • Backend: Node.js / Python for data collection and anomaly detection
  • Database: PostgreSQL / MongoDB for storing usage metrics
  • Frontend: React.js dashboard with charts, alerts, and filters
  • Notifications: Slack / Email integration for cost alerts
Recommended Tech Stack

Frontend

React.js, Chart.js / Recharts for interactive graphs and trends

Backend

Node.js with cron jobs or Python (Flask) with scheduler for data sync

APIs & Data

AWS Cost Explorer API, Azure Cost Management API, GCP Billing Export + BigQuery

Database & Alerting

MongoDB / PostgreSQL, NodeMailer / Slack Webhooks for notifications

Step-by-Step Development Guide

1. Set Up API Access

Authenticate and connect to billing APIs for AWS, Azure, and GCP with proper credentials and scopes.

2. Build Data Sync Logic

Write scripts or background jobs that periodically fetch and store usage/cost data.

3. Develop Dashboard UI

Design cost charts by service, resource, and time; show trends and forecasts visually.

4. Add Alert Engine

Allow users to define cost thresholds, and trigger email/Slack alerts if breached.

5. Implement Optimization Engine

Analyze stored data and suggest downsizing, instance reservation, or service alternatives.

Helpful Resources & Tools

Take Control of Cloud Expenses

Build a powerful dashboard that gives businesses clear insights into cloud costs and helps them reduce unnecessary spend with actionable intelligence.

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