This is compatible with familiar syslog tools like Rsyslog, as well as the newer systemd service journald. HAProxy can emit log message for processing by a syslog server. We’ll then list some tools that you’ll find helpful when operationalizing your log data.
#Awstats error.log how to#
In this post, you’ll learn how to configure HAProxy logging and how to read the log messages that it generates. Termination status of a session and the ability to track where failures are occurring (client side, server side?) Information about requests and responses: headers, status codes, payloads, etc. Information about HAProxy decisions: content switching, filtering, persistence, etc. Metrics about the traffic: timing data, connections counters, traffic size, etc. HAProxy provides very detailed logs with millisecond accuracy and generates a wealth of information about traffic flowing into your infrastructure. Other ways include getting metrics using the Stats page or Runtime API, setting up email alerts, and making use of the various open-source integrations for storing log or statistical data over time.
It’s one of the many ways to get information from HAProxy. It enables observability needed for troubleshooting and can even be used to detect problems early. Logging gives you insights about each connection and request. Whether used as an edge load balancer, a sidecar, or as a Kubernetes ingress controller, getting meaningful logs out of HAProxy is a must-have. HAProxy sits in the critical path of your infrastructure. In this blog post, we demonstrate how to set up HAProxy logging, target a Syslog server, understand the log fields, and suggest some helpful tools for parsing log files.
When it comes to operationalizing your log data, HAProxy provides a wealth of information.
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