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  1. Docker. It is intended that this exporter be placed on the host that Fluentd is running from. If you are using fluentd as a log driver for Docker then place this exporter on the host. Documentation around setting up Fluentd as a logging driver for Docker can be found here.

  2. 17 de jul. de 2019 · We’ve already established that getting the labels right with the corresponding Prometheus labels is key to deriving value from Loki and given that down in fluentd land Prometheus constructs are ...

  3. 27 de ene. de 2022 · Another powerful feature is the Prometheus plugin that allows you expose Prometheus metrics from your Fluentd server. For example, we can export our metrics using the forward output plugin and use Prometheus to generate counters reporting the number of forwarded records. You can also add labels to your Prometheus metric.

  4. prometheus_tail_monitor input plugin. This plugin collects internal metrics for in_tail plugin in Fluentd. in_tail plugin holds internal state for files that the plugin is watching. The state is sometimes important to monitor plugins work correctly. This plugin uses internal class of Fluentd, so it's easy to break.

  5. Using multiple buffer flush threads. Similarly, when using flush_thread_count > 1 in the buffer section, a thread identifier must be added as a label to ensure that log chunks flushed in parallel to loki by fluentd always have increasing times for their unique label sets.. This plugin automatically adds a fluentd_thread label with the name of the buffer flush thread when flush_thread_count > 1.

  6. 29 de jun. de 2021 · Using Prometheus and Fluentd. As you know, Prometheus is a very popular open source project as a metric toolkit, which holds a dominant position especially in the recent metric monitoring for Kubernetes environments. Prometheus uses a pull model that scrapes metrics from endpoints and ingests them into Prometheus server.

  7. fluentd 1.11 (it may work with older images but not tested) kubernetes 1.14 and up. prometheus 2.17.x deployed via prometheus-operator. grafana 6.7.x, (notice this was not tested with grafana 7.x) This should be compatible with most of installations that support prometheus metrics in fluentd - this depends how it is deployed, for example some ...