azure-cost-optimizer 1.0.0

Analyze Azure resource costs and get actionable optimization recommendations with projected savings.

Azure Cost Optimizer

A powerful CLI tool that analyzes Azure resources and identifies cost optimization opportunities. Provides actionable recommendations with projected savings across compute, storage, networking, and database services.

Features

• 30 cost checks across 5 categories (Compute, Storage, Networking, Database, General)
• Severity classification — HIGH, MEDIUM, LOW with effort estimates
• Beautiful terminal output — Rich tables, panels, color-coded findings
• Export reports — JSON and CSV formats for stakeholder sharing
• Demo mode — Try instantly without Azure credentials
• Filtering — By severity level or resource category
• Optimization grading — Letter grade (A-F) based on savings potential

Quick Start

Install

pip install -e .

Run Demo

azure-cost scan --demo

See All Checks

azure-cost summary

Usage

Scan with Demo Data

# Full scan with demo data
azure-cost scan --demo

# Filter by severity
azure-cost scan --demo --severity HIGH

# Filter by category
azure-cost scan --demo --category COMPUTE

# Export JSON report
azure-cost scan --demo --export-json report.json

# Export CSV report
azure-cost scan --demo --export-csv findings.csv

# Combine filters and export
azure-cost scan --demo --severity HIGH --category DATABASE --export-json critical-db.json

Available Commands

Command	Description
azure-cost scan --demo	Run cost analysis with demo data
azure-cost summary	Show all 30 checks the tool performs
azure-cost --version	Show version

What It Checks

Compute (7 checks)

Check	Severity	Potential Savings
Stopped but allocated VMs	HIGH	~85%
Idle VMs (< 5% CPU)	HIGH	~95%
Underutilized VMs (< 20% CPU)	MEDIUM	~40%
Dev/test VMs without auto-shutdown	MEDIUM	~65%
Reserved Instance candidates	LOW	~38%
Scale sets with fixed instance count	MEDIUM	~30%
Overprovisioned App Services	HIGH	~60%

Storage (5 checks)

Check	Severity	Potential Savings
Unattached managed disks	HIGH	100%
Premium disks with low IOPS	MEDIUM	~65%
Old snapshots (> 90 days)	MEDIUM	100%
Aging snapshots (> 30 days)	LOW	~80%
Hot storage with infrequent access	MEDIUM	~45%

Networking (5 checks)

Check	Severity	Potential Savings
Orphaned public IP addresses	HIGH	100%
Load balancers with no backends	HIGH	100%
Load balancers with no rules	MEDIUM	~50%
Unused NAT Gateways	HIGH	100%
Oversized Application Gateways	MEDIUM	~35%

Database (8 checks)

Check	Severity	Potential Savings
Oversized SQL Databases (low DTU)	HIGH	~55%
SQL storage over-provisioned	LOW	~10%
Dev/test DBs on production SKUs	HIGH	~80%
Idle Cosmos DB accounts	HIGH	~90%
Over-provisioned Cosmos DB RUs	MEDIUM	~45%
Oversized Redis Cache	MEDIUM	~50%
Idle Redis Cache	HIGH	~95%
Underutilized MySQL servers	MEDIUM	~45%

General (5 checks)

Check	Severity	Potential Savings
Empty resource groups	LOW	—
High-cost untagged resources	MEDIUM	—
Untagged resources	LOW	—
Resources in expensive regions	LOW	~20%
Long-running resources (> 1 year)	LOW	—

Architecture

azure_cost_optimizer/
├── cli.py              # Click CLI entry point
├── scanner.py          # Orchestrator — runs all analyzers
├── models.py           # Data models (Severity, Category, CostFinding, etc.)
├── demo.py             # Demo mode with realistic mock data
├── analyzers/
│   ├── base.py         # Abstract base analyzer
│   ├── compute.py      # VM, scale set, app service checks
│   ├── storage.py      # Disk, snapshot, storage account checks
│   ├── networking.py   # Public IP, load balancer, NAT gateway checks
│   ├── database.py     # SQL, Cosmos DB, Redis, MySQL checks
│   └── misc.py         # Resource groups, tags, regions
└── output/
    ├── console.py      # Rich terminal rendering
    └── report.py       # JSON/CSV export

Development

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest -v

# Run linter
ruff check .

# Run with demo
azure-cost scan --demo

Tech Stack

• Python 3.9+ — Core runtime
• Click — CLI framework
• Rich — Terminal formatting and tables
• pytest — Testing framework
• ruff — Linting

License

MIT License — see LICENSE for details.

Author

Sanjay S — Senior DevOps Engineer

• GitHub: @SanjaySundarMurthy
• Portfolio: sanjaysundarmurthy-portfolio.vercel.app