Since 2009, the author has focused on understanding and managing the complexities of cloud computing costs, initially developing vendor-neutral tools to aid organizations in adopting public clouds by assessing suitability, benefits, risks, and costs. Over time, cloud cost complexity has significantly increased, with current tools like Infracost.io now tracking millions of price points due to the intricate pricing structures of major providers like AWS, Azure, and Google. This complexity makes it challenging to predict costs accurately, leading to budget misalignments and unexpected charges, often placing engineers under pressure to optimize costs and address discrepancies. Infracost.io, an open-source project, helps engineers understand the cost impacts of infrastructure changes by integrating with CI/CD workflows to provide detailed cost breakdowns, thereby enabling better communication with management and mitigating unexpected billing surprises. Despite new solutions, addressing cloud cost complexity remains an ongoing challenge that requires engineers' involvement due to their essential contextual knowledge.