HaproxyServerResponseErrors

HaproxyServerResponseErrors #

Too many response errors to {{ $labels.server }} server (> 5%).

Alert Rule
alert: HaproxyServerResponseErrors
annotations:
  description: |-
    Too many response errors to {{ $labels.server }} server (> 5%).
      VALUE = {{ $value }}
      LABELS = {{ $labels }}    
  runbook: https://srerun.github.io/prometheus-alerts/runbooks/embedded-exporter-v2/haproxyserverresponseerrors/
  summary: HAProxy server response errors (instance {{ $labels.instance }})
expr: (sum by (server) (rate(haproxy_server_response_errors_total[1m])) / sum by (server)
  (rate(haproxy_server_http_responses_total[1m]))) * 100 > 5
for: 1m
labels:
  severity: critical

Here is a runbook for the HaproxyServerResponseErrors alert:

Meaning #

The HaproxyServerResponseErrors alert is triggered when the rate of HAProxy server response errors exceeds 5% of the total HTTP responses for a given server over a 1-minute period. This alert indicates that there is an issue with the HAProxy server or the backend server that is causing a significant number of response errors.

Impact #

If left unchecked, this issue can lead to:

  • Poor user experience due to failed requests
  • Increased latency and decreased throughput
  • Potential security issues if errors are not properly handled
  • Impact on business-critical applications and services that rely on HAProxy

Diagnosis #

To diagnose the issue, follow these steps:

  1. Check the HAProxy server logs for errors and exceptions that may indicate the root cause of the response errors.
  2. Verify that the backend server is functioning correctly and responding to requests as expected.
  3. Check the HAProxy configuration to ensure that it is correctly configured to handle errors and exceptions.
  4. Use tools such as haproxyctl or curl to test the HAProxy server and verify that it is responding as expected.

Mitigation #

To mitigate the issue, follow these steps:

  1. Identify and fix the root cause of the response errors, whether it be a configuration issue, a backend server issue, or a HAProxy server issue.
  2. Implement error handling and retry mechanisms to minimize the impact of response errors on users.
  3. Consider increasing the logging level on the HAProxy server to gather more detailed information about the response errors.
  4. Verify that the HAProxy server is properly configured to handle high levels of traffic and errors.

Additionally, consider implementing long-term solutions such as:

  • Implementing a load balancer or redundancy to reduce the impact of server failures
  • Improving the overall health and monitoring of the HAProxy server and backend servers
  • Implementing automated error detection and correction mechanisms
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