Database Performance Metrics are technical data points tracked to measure how fast, efficiently, and reliably a database operates. These metrics provide answers to questions such as how the database uses system resources, how many transactions it processes, and how long it takes to complete those transactions. Query Response Time, Throughput, CPU & Memory Usage, Disk I/O, Connection Count, Lock Wait Time / Deadlocks, Cache Hit Ratio, and Replication Lag are the most common database performance metrics.
Database Monitoring is limited to simply measuring and displaying these metrics. Database Observability, on the other hand, provides deeper insights by correlating these metrics with meaningful context. Monitoring tells you, “Query response time is high.” Observability, on the other hand, shows you which application, which user, which table, at what time, and under what workload conditions the query originated, and helps you understand why it slowed down.