In this blog post, we’ll explain how to set up the metrics endpoint, how to configure Prometheus to scrape it and offer some guidance on graphing the data and alerting on it. Enable the service in your HAProxy configuration file and you’ll be all set. Having Prometheus support built-in means that you don’t need to run an extra exporter process. HAProxy Enterprise users can begin using this feature today as it has been backported to version 1.9r1. The new module can be found in the HAProxy source code, under the contrib directory. Starting in version 2.0, you can compile HAProxy with native Prometheus support and expose a built-in Prometheus endpoint. In particular, many users have benefited from the HAProxy Exporter for Prometheus, which consumes the HAProxy Stats page and converts the data to the Prometheus time series. CSV is perhaps one of the easiest formats to parse and, as an effect, many monitoring tools utilize the Stats page to get near-real-time statistics from HAProxy. It can be consumed as a CSV-formatted feed-although you can also use the Runtime API to export the data as JSON. HAProxy currently provides exceptional visibility through its Stats page, which displays more than 100 metrics. Metrics give you essential feedback about how well, or unwell, things are going: Are customers using the new features? Did traffic rates drop after that last deployment? If there’s an error, how long has it been happening, and how many customers have likely been affected? They contain the data that inform you about the state of your systems, which in turn allows you to see patterns and make course corrections as needed. Metrics are a key aspect of observability, along with logging and tracing.
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