MariaDB Monitoring & Query Performance
Boost MariaDB efficiency by fine-tuning queries, ensuring optimal performance without compromising your database's health.
MariaDB Database Monitoring
Query Execution Analysis
Analyzes slow queries and execution behavior specific to MariaDB query optimizer.
Thread Pool Utilization
Monitors thread pool activity affecting concurrent query processing.
Replication Delay
Measures replication lag in MariaDB primary-replica configurations.
Storage Engine Metrics
Tracks InnoDB and Aria engine behavior under transactional workloads.
Lock Contention
Detects row and table locks impacting write throughput.
Disk IO Behavior
Monitors read/write latency and fsync operations.
Error Log Tracking
Surfaces MariaDB errors related to crashes and replication.
Resource Consumption
Tracks CPU and memory usage across MariaDB processes.
Monitor Query Behavior in MariaDB Databases
Track query execution time, slow queries, active connections, and throughput using real-time database performance metrics.
Queries Taking Longer Than Expected
Some MariaDB queries can consume more time than usual, and execution time metrics show which queries consistently run slow.
Slow Queries Hidden in Normal Load
A small set of slow queries can affect overall performance, and slow query visibility helps isolate them quickly.
Rising Active Connections Over Time
An increase in active connections can impact database responsiveness, and connection metrics reveal abnormal usage growth.
Throughput Changes Increasing Latency
Higher query volume can lead to slower responses, and throughput trends help relate load changes to shifts in latency.
Latency Spikes Missed in Averages
Average latency may appear stable while short spikes occur, and latency trend views expose these temporary performance drops.
Why choose Atatus for MariaDB database monitoring?
MariaDB optimizer visibility
Query execution behavior and optimizer decisions are monitored to detect inefficient SQL.
Thread pool behavior analysis
Thread pool utilization is tracked to understand concurrency handling.
Replication performance tracking
Replica lag and synchronization issues are monitored across MariaDB nodes.
Storage engine metrics
InnoDB and Aria engine behavior is tracked under transactional workloads.
Lock contention detection
Row and table locks are monitored to identify write contention.
Resource consumption trends
CPU, memory, and disk IO usage are tracked for capacity planning.
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