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1. #Prometheus postgres exporter how to
2. #Prometheus postgres exporter install
3. #Prometheus postgres exporter verification
4. #Prometheus postgres exporter password

To avoid putting sensitive information like username and password in the URL, preconfigured auth modules are supported via the auth_modules section of the config file. To use the multi-target functionality, send an http request to the endpoint /probe?target=foo:5432 where target is set to the DSN of the postgres instance to scrape metrics from.

#Prometheus postgres exporter install

Using the milti-target funcationality of this exporter is optional and meant for users where it is impossible to install the exporter as a sidecar. This allows running a single instance of this exporter for multiple postgres targets. This exporter supports the multi-target pattern. This Feature is in beta and may require changes in future releases. Quay.io/prometheuscommunity/postgres-exporter

The built-in metrics that are supported by the Postgres Exporter are listed below:įor more details, see Postgres Exporter Metrics Map.Docker run -net=host -it -rm -e POSTGRES_PASSWORD=password postgres Save the sample yaml to a file, and apply to the cluster: kubectl apply -n INSTANCE-NAMESPACE -f metrics-network-policy-sample.yaml Label the Prometheus namespace to easily use the namespaceSelector section of the NetworkPolicy spec, for example: kubectl label namespace prometheus networking/namespace=prometheus An example PodMonitor for a Postgres instance named as postgres-sample is shown below: cat

#Prometheus postgres exporter verification

To enable the Prometheus Operator to scrape metrics from the Postgres instance with TLS verification enabled, create a PodMonitor in the Postgres instance namespace and provide the metrics TLS configuration.

#Prometheus postgres exporter how to

Where is the name of the Postgres instance.įor details on how to configure Prometheus with TLS, see tls_config in the Prometheus Configuration documentation. # TYPE pg_stat_database_xact_rollback counter To test that the metrics are being emitted, you may use port forwarding (for more details see Use Port Forwarding to Access Applications in a Cluster in the Kubernetes documentation): kubectl port-forward pod/ 9187:9187Īnd then in another shell window, use a tool like curl to run: curl -k A successful output would show metrics emitted by the exporter, similar to (this example is a small extract): # HELP pg_stat_database_xact_rollback Number of transactions in this database that have been rolled back The Tanzu Postgres pods include the exporter that emits the built-in Postgres metrics. For an example installation of Prometheus, see Using Prometheus Operator to Scrape the Tanzu Postgres Metrics. To take advantage of the metrics endpoint, ensure your environments has a metrics collector like Prometheus, or Wavefront. Prometheus could be your primary consumer of the metrics, but any monitoring tool can take advantage of the /metrics endpoint. The diagram below shows the architecture of a single-node Postgres instance with Postgres server exporter, where the metrics are exported on port 9187:Ĭlick here to view a larger version of this diagram The exporter queries the Postgres database and provides metrics in the Prometheus format on a /metrics https endpoint (port 9187) on the pod, conforming to the Prometheus HTTP API. Prometheus sends HTTPS requests to the exporter. Upon initialization, each Postgres pod adds a Postgres server exporter container. The Postgres Server Exporter shares metrics about the Postgres instances. The Prometheus exporter provides an endpoint for Prometheus to scrape metrics from different application services. Tanzu Postgres uses the Postgres Exporter, a Prometheus exporter for Postgres server metrics. This topic describes how to collect metrics and monitor Tanzu Postgres instances in a Kubernetes cluster.