Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The AWS Cost & Usage Report offers the most detailed collection of AWS cost and usage information, encompassing additional metadata related to AWS services, pricing structures, reserved instances, and savings plans. This report provides a breakdown of usage at both the account and organization levels, categorized by product code, usage type, and specific operations. Users can enhance their cost tracking by utilizing cost allocation tags and defining cost categories for better organization. Available in hourly, daily, or monthly formats, the AWS Cost & Usage Report allows for precise tracking down to the instance level, highlighting where options like reserved instances and savings plans are utilized. It also incorporates the amortization of relevant fees and presents calculations that facilitate internal cost allocations and showbacks, tailored to meet the internal reporting requirements of your organization. This comprehensive approach ensures that businesses can effectively manage and optimize their AWS expenditures.
Description
FinOps LLM serves as an advanced platform for AI cost management and observability, specifically designed for engineering teams utilizing production GenAI. It enables transparency in token expenditures across a variety of providers such as OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, and Groq, while also aligning internal usage data with invoices from these providers. Users can filter token-level expenses based on provider, model, feature, team, customer, environment, and other custom metrics, ensuring that each dollar spent has a designated owner. Additionally, the platform includes attribution and chargeback functionalities that correlate usage with product interfaces and customer demographics, facilitating showback processes and allowing for data exports to systems like NetSuite, QuickBooks, CSV, or through APIs. Furthermore, real-time anomaly detection features track spending, latency, and quality, comparing them against dynamic feature baselines, and issue alerts via Slack, PagerDuty, email, or webhooks whenever notable changes occur. To further enhance cost control, optional budget enforcement and auto-throttling measures can prevent excessive spending due to runaway agents, excessive retries, or unexpected model shifts. This comprehensive approach ensures that engineering teams can manage their AI resources effectively while maintaining financial oversight.
API Access
Has API
API Access
Has API
Integrations
Amazon Bedrock
Amazon Web Services (AWS)
Anthropic
Claude
CloudZero
Elastic Observability
Gemini
Google Sheets
Groq
Microsoft Azure
Integrations
Amazon Bedrock
Amazon Web Services (AWS)
Anthropic
Claude
CloudZero
Elastic Observability
Gemini
Google Sheets
Groq
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1,500 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/aws-cost-management/aws-cost-and-usage-reporting/
Vendor Details
Company Name
FinOps LLM
Country
United States
Website
finopsllm.com
Product Features
Cloud Cost Management
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting