HAProxy Logs Monitoring & Observability
Effortlessly track HAProxy logs, gaining instant insights into errors and refining logging for a more efficient and reliable application.
Monitor HAProxy logs to troubleshoot load balancing and traffic routing issues
Analyze request routing logs
Inspect HAProxy logs to understand frontend to backend routing decisions and request handling flow.
Track backend server health
Monitor HAProxy log entries related to backend server failures, health check errors, and server state changes.
Detect timeout and retry issues
Capture HAProxy logs indicating connection timeouts, retries, and queue overflows affecting traffic.
Monitor connection limits
Analyze logs for max connection breaches and queue saturation during traffic surges.
Track SSL termination errors
Inspect HAProxy SSL log entries for certificate issues and handshake failures.
Observe load balancing behavior
Analyze HAProxy logs to understand server selection and balancing algorithms in action.
Detect malformed requests
Identify invalid or incomplete requests captured by HAProxy during traffic processing.
Correlate proxy and service logs
Link HAProxy logs with backend service logs to trace traffic-related failures.
Bring HAProxy Log Streams Into One Unified View
Collect HAProxy log data into Atatus so you can parse key fields, refine log streams, and explore messages across your load balancers without juggling log files across hosts.
Logs Scattered Across Load Balancer Hosts
HAProxy logs typically live on individual servers or syslog, and central ingestion lets you explore events from all nodes in one place.
Raw Log Messages Obscure Details
Unstructured HAProxy log text mixes request and connection data, and parsing them into fields makes attributes like request timing and backend information easier to query.
Volume Can Bury Meaningful Entries
Continuous HAProxy log output can overwhelm manual review, and pipelines with filters help you focus on the events and fields that matter most.
Recreating Search Context Takes Time
Manually rebuilding filters slows investigation, and saved views allow quick switching between commonly used log contexts.
Logs Alone Do Not Tell the Full Story
Individual log lines lack broader context, and structured exploration in Atatus makes it easier to understand behavior patterns across HAProxy traffic.
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
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