The dashboard operates on a Django monolith with PostgreSQL and is transitioning to ClickHouse for denormalization. The initial p50 metric was 0.7 seconds, but the p95 was 8 seconds, which was reduced to 1 second. Observability tools were established to monitor performance, and slow HTTP requests were identified using OpenTelemetry traces. Optimization techniques included late joining, asynchronous counting, creating a PostgreSQL replica for read operations, and improving full-text search. Denormalization was explored to enhance filtering performance by creating composite indexes. The production stack was upgraded to PostgreSQL 18, which provided incremental performance improvements. The final p95 value achieved was 1 second, below the target of 3 seconds.