Database Partitioning: Why Is Its Operational Burden Underestimated? When it comes to database performance, topics like query optimization, index strategies, or hardware upgrades often take center stage. However, in systems dealing with large datasets, structural changes like partitioning increase operational complexity, and this burden is often overlooked. While working on a production ERP, I saw that data volume was constantly increasing, and to solve the resulting performance issues, we resorted to partitioning methods. At the time, we hadn't fully accounted for the operational burden this decision would bring. In this post, I will explain, based on my own experiences, why the operational burden of database partitioning is often underestimated, its true costs, and how to deal with this situation. By presenting the technical depth and trade-offs of this topic with concrete examples, I aim to help you make more informed decisions.…