![]() is only reported as unhealthy if givenĪn invalid configuration. The exported targets will use the configured in-memory traffic address ![]() The targets that can be used to collect exporter metrics.įor example, the targets can either be passed to a discovery.relabelĬomponent to rewrite the targets’ label sets, or to a prometheus.scrapeĬomponent that collects the exposed metrics. NOTE: is a custom component unrelated to the prometheus exporter from OpenTelemetry Collector. Check out my post about setting up kube-prometheus-stack + blackbox. Features: HTTP status codes / versions / phases. The following fields are exported and can be referenced by other components. accepts OTLP-formatted metrics from other otelcol components, converts metrics to Prometheus-formatted metrics, and forwards the resulting metrics to prometheus components. A Prometheus that scrapes a Blackbox Exporter with target as the probe target’s name (re)labeled. Set up Prometheus alerting rules to alert on your metrics data. Imported Grafana dashboards to visualize your metrics data. Use Prometheus and Grafana to Monitor MySQL or StoneDB Databases Step 1. Maximum size of your metric mapping cache. Size (in bytes) of the operating system’s transmit read buffer associated with the UDP or Unixgram connection. Set up a preconfigured and curated set of recording rules to cache frequent Prometheus queries. The path to a YAML mapping file used to translate specific dot-separated StatsD metrics into labeled Prometheus metrics. Regex filter for consumer groups to be monitored. Configured Prometheus to scrape prom-client for Node.js metrics and optionally ship them to Grafana Cloud. How frequently should the interpolation table be pruned, in seconds. The maximum number of offsets to store in the interpolation table for a partition. If set to true, all scrapes trigger Kafka operations. If set to true, use a group from zookeeper.Īddress array (hosts) of zookeeper server. We strongly recommend configuring a separate user for the Grafana. That’s because this exporter does not collect metrics from multiple nodes. Connect Grafana to data sources, apps, and more. Note: For this integration to work properly, you must have connect each node of your MongoDB cluster to an agent instance. Performance and health metrics for your SQL Servers using windows Exporter v0.16 and Prometheus. This makes your HTTPS connections insecure. The component embeds percona’s mongodbexporter. If set to true, the server’s certificate will not be checked for validity. The optional key file for TLS client authentication. The optional certificate file for TLS client authentication. The optional certificate authority file for TLS client authentication. The SASL SCRAM SHA algorithm sha256 or sha512 as mechanism. Only set this to false if using a non-Kafka SASL proxy. You must manually provide the instance value if there is more than one string in kafka_uris. ![]() The instancelabel for metrics, default is the hostname:port of the first kafka_uris. NameĪddress array (host:port) of Kafka server. Omitted fields take their default values. You can use the following arguments to configure the exporter’s behavior.
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