MySQL Logs Monitoring & Observability
Effortlessly track MySQL logs, gaining instant insights into errors and refining logging for a more efficient and reliable application.
Monitor MySQL logs and database activity in production environments
Collect MySQL server logs
Ingest MySQL error logs, general query logs, and slow query logs generated by database servers to gain visibility into operational issues.
Analyze slow query behavior
Inspect MySQL slow query log entries to identify long-running queries, inefficient execution plans, and indexing gaps affecting performance.
Track database startup and crashes
Monitor MySQL startup messages, shutdown events, and crash-related logs to diagnose configuration errors and unexpected restarts.
Detect replication and binlog issues
Capture MySQL replication and binary log related messages to identify replication lag, relay log errors, and failover problems.
Monitor authentication and access errors
Surface MySQL login failures, permission errors, and connection issues recorded in server logs to help audit access problems.
Correlate logs with performance metrics
Link MySQL log events with query execution time, connection usage, and resource metrics to understand performance degradation.
Investigate storage and engine warnings
Analyze InnoDB and storage engine log messages related to locking, deadlocks, and buffer pool pressure.
Support clustered MySQL deployments
Aggregate logs from standalone MySQL servers, read replicas, and clustered environments into a centralized view.
Make MySQL Log Data Clear and Actionable in Atatus
Bring MySQL log streams into Atatus so you can parse, structure, and analyze log entries in real time and explore them with operational context for faster investigation.
Logs Live in Separate Files on Hosts
MySQL generates multiple logs such as error, slow query, and general logs, and when they are scattered across servers it becomes difficult to investigate issues without centralized ingestion.
Unstructured Text Is Hard to Query
Raw MySQL log text mixes different message types, and structuring logs into fields enables filtering and sorting by attributes like query patterns or connection identifiers.
Important Entries Are Buried in Volume
High-volume MySQL logs can overwhelm manual inspection, and custom pipelines with filters help surface the signals that matter most.
Context Switching Slows Troubleshooting
Jumping between local log files and other tools wastes time, and centralizing MySQL logs enables exploration with consistent operational context.
Finding Events by Time or Pattern Is Slow
Without powerful search, locating relevant log events requires repeated manual steps, and fast search with filtered exploration helps pinpoint issues quickly.
Why choose Atatus for MySQL logs monitoring?
Production-grade visibility into MySQL query behavior, errors, and database health
Native MySQL log awareness
Designed to ingest and interpret MySQL error logs, slow query logs, and general logs generated by production database servers.
Query-level troubleshooting
Helps database teams investigate slow queries and execution anomalies by correlating log data with performance indicators.
Replication and availability insights
Surfaces replication-related log signals that indicate lag, synchronization issues, and replica failures.
Faster incident resolution
Centralizes MySQL logs across environments to reduce time spent diagnosing outages and performance regressions.
Scales with database workloads
Handles high-volume MySQL logging from busy production systems without impacting database performance.
Works across modern infrastructure
Aggregates MySQL logs from virtual machines, bare-metal servers, and cloud-hosted database deployments.
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.
Unified Logs Monitoring & Observability Across Different Platforms
Frequently Asked Questions
Find answers to common questions about our platform