Key Performance Indicators (KPIs)
We'll examine key metrics:
- Query Performance: Impact on query execution time.
- Connection Pooling: Resource utilization and scalability.
- Index Usage: Optimize indexing strategy for better performance.
- Database Size: Monitor overall database size for stability.
Analyzing the Query - The Problem
Let's look at a typical scenario: A slow query impacting key performance indicators. It’s likely due to inefficient queries...
This query is taking too long. It's consuming excessive resources.
Analyzing the Connection Pool
Insufficient connection pool size. More client connections are needed to keep the database responsive.
Without sufficient connections, your application might experience slowdowns.
Analyzing Index Usage
Lack of appropriate indexes leads to full table scans, dramatically slowing down queries.
Without well-optimized indexes, the database spends more time scanning the data instead of processing it.
Monitoring - Database Metrics
Monitoring tools are essential. We will use Azure Monitor to track...
- CPU Utilization: High CPU indicates potential bottlenecks.
- Memory Usage: Low memory can cause performance issues.
- Disk I/O: High disk I/O slows down the database.
- Query Execution Time: Directly track the time queries take.
Recommendations - Quick Wins
Start with these quick wins:
- Optimize slow-running queries.
- Add appropriate indexes.
- Review query plans.
- Increase connection pool size.