Summary
You've learnt some practical steps for estimating, tracking, and allocating AI costs, including how to estimate token usage, apply tools like the Azure Pricing Calculator, and apply billing filters to gain visibility into your AI spend. For ongoing cost management, we've covered how to configure alerts for budget thresholds or usage anomalies, and how to use Azure API Management Gateway for granular token tracking.
By applying these practices, you can ensure that your AI investments remain transparent, well-managed, and aligned with your organization's broader financial objectives.
Learn more
- FinOps Foundation's FinOps Framework
- Jtokkit Java Tokenizer Kit
- Python tiktoken tokenizer
- Token emit metric with Azure API Management Gateway
- Sample: Manage your Azure OpenAI APIs with Azure API Management
- Tag support for resources
- Cost Management automation overview (APIs)
- Import data into Power BI Desktop with the Cost Management data connector
- Retrieve large cost datasets recurringly with exports
- Introduction to cost allocation
- Create and manage Azure cost allocation rules
- Manage your generative AI APIs with Azure API Management
- Automate budget creation
- Configure budget-based actions
- Create and manage budgets
- Overview of AI gateway capabilities in Azure API Management
- Monitor Azure OpenAI
- Azure OpenAI monitoring data reference
- Observability in generative AI