Azure Docs

Performance Overview

Azure Database for MySQL provides a fully managed, high‑performance relational database service. This guide covers best practices for optimizing query performance, resource utilization, and scalability.

Key Performance Areas

Query Optimization +
  • Use EXPLAIN to analyze query execution plans.
  • Ensure appropriate indexes are in place.
  • Avoid SELECT *
  • Leverage prepared statements where possible.
Connection Management +

Reuse connections via connection pooling. Limit max connections based on tier size to prevent resource exhaustion.

Resource Scaling +

Scale compute and storage independently. Use the Scaling page for detailed steps.

Monitoring & Alerting +

Enable Azure Monitor metrics: CPU, memory, IOPS, and query stats. Set up alerts for thresholds.

Performance Tools

  • Query Performance Insight – Built‑in dashboard for slow queries.
  • Azure Monitor – Custom dashboards and alerts.
  • MySQL Tuning Primer – Run mysqltuner.pl against your instance.

Sample Configuration

# Example my.cnf adjustments for high‑throughput workloads
[mysqld]
innodb_buffer_pool_size = 75%      # Adjust based on instance memory
innodb_log_file_size   = 512M
max_connections        = 200
query_cache_type       = 0
query_cache_size       = 0