The article discusses the complexities of cloud pricing, particularly focusing on the Postgres AI product from EDB. With nearly 5 million SKUs resulting from various services, types, tiers, and regions across AWS, Azure, and GCP, accurate pricing estimations are critical. The author, preparing for a talk at PyConLT, highlights their role in developing a data pipeline to efficiently gather and maintain up-to-date SKUs after previously relying on an unsustainable third-party service. This foundational work is crucial for delivering accurate cost estimates to customers using the Postgres AI cloud service.
Cloud pricing can be surprisingly complex, and with nearly 5 million SKUs across major cloud providers, maintaining accurate cost estimates is essential.
We built a new data pipeline to gather the latest service SKUs for Postgres AI, essential for accurate customer cost estimates when selecting cloud options.
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