Performance Impact of High Cardinality in Time-Series DBs
Time-series databases have become the backbone of modern observability, financial analytics, and IoT systems. But there's a common challenge that can bring even the most robust systems to their knees: high cardinality. When your database starts tracking millions of unique values across various dimensions, performance doesn't just dip—it can collapse entirely. Let's understand the technical details of what happens when cardinality spikes and how you can architect your systems to handle it.