Multi-Cloud Cost Analytics: From Cost-Export to Parquet to Rill
Blog post from Rill
Simon Späti's article outlines a comprehensive approach to managing multi-cloud cost analytics by integrating and visualizing expenses from various cloud service providers such as AWS and GCP, alongside revenue data from platforms like Stripe. The project aims to create a unified dashboard that offers a single view of cloud costs and revenue, enabling companies to better understand their financial performance across different platforms. The solution involves setting up data exports from AWS and GCP, integrating them using dlt, and visualizing the results with Rill. The article details the technical stack, including using DuckDB for local data storage and ClickHouse for cloud storage, and emphasizes the importance of composability, allowing for easy addition of new data sources. Späti also discusses the initial challenges of setting up cost exports and the benefits of achieving a clear, comprehensive view of multi-cloud expenses, encouraging others to replicate the project using the provided GitHub resources. Additionally, the article highlights the use of AI tools like Claude for prompt engineering, demonstrating the potential for further automation and refinement in managing cloud costs.
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