Multi-Cloud Cost Analytics: From Cost-Export to Parquet to Rill

The text provides a comprehensive tutorial on creating a unified multi-cloud cost dashboard that integrates cost data from various cloud service providers such as AWS and GCP, combined with revenue data from platforms like Stripe, using tools like dlt, SQL, Python, and Rill. It explains the step-by-step process of setting up cost exports from these cloud services, storing the data in DuckDB or ClickHouse, and using Rill for visualization, aiming to provide businesses with a clear overview of their cloud expenses and revenues to calculate margins. The project is designed to be extendable, allowing for the integration of additional data sources and cloud providers, and emphasizes the importance of having a single pane of glass for cost visibility across multiple platforms. The tutorial also highlights the challenges encountered during implementation, such as the manual setup required for AWS and GCP cost exports, but ultimately showcases the value of having a consolidated view of cloud costs and revenues, which can be crucial for financial decision-making in multi-cloud environments.