MySQL Monitoring & Query Performance
Detect and resolve sluggish MySQL queries in your requests, along with transaction traces, to gather actionable insights for optimized functionality.
MySQL Database Monitoring
Query Execution Analysis
Analyzes MySQL query execution time, optimizer decisions, index selection, and full table scans to detect inefficient SQL patterns affecting transactional workloads.
Connection Pool Saturation
Monitors active threads, max connection limits, and aborted connections to identify concurrency pressure and connection management issues.
InnoDB Lock Monitoring
Tracks row-level locks, deadlocks, and transaction wait states within InnoDB to pinpoint contention caused by concurrent writes.
Replication Lag Tracking
Measures binary log application delay between primary and replicas to identify replication bottlenecks and data freshness risks.
Buffer Pool Efficiency
Evaluates InnoDB buffer pool hit ratio, memory pressure, and page eviction behavior impacting read latency.
Disk IO Performance
Correlates MySQL read/write latency with underlying storage throughput, fsync operations, and checkpoint behavior.
Error Log Analysis
Surfaces MySQL error logs related to startup failures, crash recovery, table corruption, and replication issues.
Resource Utilization Trends
Tracks CPU, memory, and disk usage attributed to MySQL processes to support capacity planning and workload forecasting.
See What's Costing You Time in Your MySQL Workload
Measure query durations, throughput, lock waits, and index usage with correlated performance metrics so you can optimize where it matters.
Slow Queries Drag Overall Performance
Without query-level timing, long-running SQL statements quietly pad response time, and per-query duration metrics show which queries dominate execution.
Inefficient Index Usage Remains Hidden
Queries running without proper indexes can scan large data sets, and index usage insight tied to performance metrics reveals when missing indexes cost time.
Lock and Wait Times Inflate Response Latency
Row or table locks can introduce waits that extend end-to-end response time, and lock and wait metrics expose hidden contention.
Throughput Variability Masks Performance Issues
High query volume can drive latency spikes, and viewing throughput alongside latency trends reveals when load patterns degrade performance.
Unseen Peaks in Query Latency Hurt Stability
Short bursts of slow queries may slip past aggregate metrics, and slow query detection highlights these peaks before they impact users.
Why choose Atatus for MySQL database monitoring?
MySQL-aware performance metrics
Atatus collects MySQL-specific metrics such as InnoDB buffer pool usage, thread states, query execution time, and replication delay to reflect real production behavior.
Query-centric observability
Slow queries, full table scans, and inefficient index usage are surfaced with execution context to support SQL tuning and schema optimization.
Concurrency and lock visibility
Transaction locks, deadlocks, and row contention are monitored to expose write-heavy workload bottlenecks.
Replication health tracking
Primary and replica lag, binlog application delay, and replication errors are continuously monitored.
Integrated resource correlation
Database activity is correlated with CPU, memory, and disk IO to identify infrastructure-driven performance issues.
Production-safe data collection
Metrics are collected without modifying queries or impacting transactional throughput in live MySQL environments.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
Ensure Continuous Database Monitoring Across all SQL and No-SQL Databases
Frequently Asked Questions
Find answers to common questions about our platform