Cloud Cost CLI

Optimize Your Cloud Spending Instantly

cloud-cost-cli is an efficient command-line tool designed to help users analyze their AWS and Azure resources, uncovering opportunities for cost savings quickly. With its straightforward interface and powerful functionality, cloud-cost-cli identifies idle resources, oversized instances, unattached volumes, and much more, all within seconds.

Key Problem Addressed

Cloud expenses are escalating faster than revenue for many organizations, often due to overprovisioning and lack of visibility into resource usage. Traditional cost management tools can be costly and complicated, making it challenging for engineering teams to keep cloud spending in check.

Effective Solution

By simply connecting to existing cloud accounts, cloud-cost-cli assesses resource usage and billing data, producing a ranked list of actionable savings opportunities, displayed right in the terminal in under 60 seconds. Here’s what it can analyze for savings:

• Idle VMs/EC2 instances: Detect instances with low or no CPU usage.
• Unattached volumes, disks, and snapshots: Identify unused storage that incurs costs.
• Oversized database instances: Suggest downsizing for better resource efficiency.
• Old load balancers: Find load balancers that aren't handling any traffic.
• Unused public IPs: Locate public IPs that can be released.
• Underutilized resources: Recommend resizing options or downsizing for cost efficiency.
• Storage without lifecycle policies: Highlight storage solutions lacking management policies for optimization.

Notable Features

• Multi-cloud Support: Compatible with both AWS and Azure.
• Comprehensive Analyzers: Includes support for EC2, EBS, RDS, S3, ELB, Managed Disks, Storage, SQL in both cloud environments.
• AI-Powered Explanations: Receive clear, human-readable insights into why resources are incurring charges.
• Natural Language Queries: Ask questions directly, such as "What's my biggest cost?" or "Show me idle VMs."
• Privacy First AI: Utilize local processing or cloud solutions for AI, offering options with both OpenAI and Ollama.
• Cost Tracking: Monitor spending on AI API subscriptions, specifically for OpenAI users.
• Configurable Preferences: Options to save specific settings for future scans and analyses.
• Detailed Reporting: Generate reports in JSON format or as terminal tables, with options to filter by minimum savings.
• Robust Testing Suite: Includes comprehensive test coverage to ensure reliability.

Getting Started

For a quick overview of how to perform scans, below are examples for both AWS and Azure:

AWS Scan Command:

cloud-cost-cli scan --provider aws --profile default --region us-east-1

Azure Scan Command:

cloud-cost-cli scan --provider azure --location eastus

Incorporating AI-Powered Explanations: To receive AI-driven suggestions during scans, utilize the following command:

cloud-cost-cli scan --provider aws --region us-east-1 --explain

Future Directions

Potential enhancements include support for Google Cloud Platform (GCP), additional AWS and Azure services, multi-region analyses, and CI/CD integrations to provide even deeper insights into cloud cost management.

Conclusion
By prioritizing actionable insights and efficiency, cloud-cost-cli serves as an invaluable asset for organizations looking to optimize their cloud expenditures, thereby freeing up resources for strategic priorities.

For more comprehensive usage details, setup instructions, and configuration options, please refer to the repository.