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Prometheus postgres exporter metrics1/30/2024 This port name, is from the sidecar container explicitly configured in the postgres-operator configuration above, that is now deployed with every postgresql cluster.You an also provide a list of namespaces if you prefer to be more selective. Without a namespaceSelector, the PodMonitor would only look in the same namespace. This namespaceSelector explicitly instructs the PodMonitor to search in all namespaces.It’s also the default set label by the operator, this should find all cluster instances. spilo is the image that the postgres-operator uses and contains PostgreSQL, splio and everything needed to cluster the setup. The selector for this PodMonitor targets all spilo applications.This CR is deployed in the operator namespace, and will instruct the Prometheus operator to automatically scrape all PostgreSQL clusters created by the operator across the Kubernetes cluster to be monitored without requiring additional instructions. To understand this CR a bit better, lets explain the various parts of the spec. # podmonitor.yaml - apiVersion : /v1 kind : PodMonitor metadata : name : postgresql spec : selector : matchLabels : application : spilo # (1) namespaceSelector : any : true # (2) podMetricsEndpoints : - port : exporter # (3) interval : 15s scrapeTimeout : 10s - targetPort : 8008 # (4) interval : 15s scrapeTimeout : 10s podTargetLabels : # (5) - spilo-role - cluster-name - team To install the operator using these values, you can use the official install instructions with the addition of the -values parameter and the path to the values file you just created: This sidecar container runs the postgresql-exporter form the Prometheus community and is configured to connect the local installed cluster and collect various metrics about the individual PostgreSQL-instance. This values.yaml file instructs the helm chart, to deploy a configuration for the operator, that will create all PostgreSQL clusters with a sidecar container. # values.yaml - configGeneral : sidecars : - name : " exporter" image : " quay.io/prometheuscommunity/postgres-exporter:latest" ports : - name : exporter containerPort : 9187 protocol : TCP resources : limits : cpu : 500m memory : 256M requests : cpu : 100m memory : 200M env : - name : " DATA_SOURCE_URI" value : " $(POD_NAME)/postgres?sslmode=require" - name : " DATA_SOURCE_USER" value : " $(POSTGRES_USER)" - name : " DATA_SOURCE_PASS" value : " $(POSTGRES_PASSWORD)" - name : " PG_EXPORTER_AUTO_DISCOVER_DATABASES" value : " true" In order to install the operator using helm, we want to provide a values.yaml, that provides some simple modifications to the default configuration of the operator itself: To install the Zalando postgres-operator, we’ll utilise their helm chart, following the official installation guide. It’s also assumed that you are familiar with the concepts of selectors, pods, deployments, services and basics of CRDs.Īnd that you have used helm before. A popular setup, which I also use, is the kube-prometheus-stack It’s assumed that you already have the prometheus-operator and a Grafana instance installed. When all of this sounds to much for you, relax, read a bit more about these concepts before diving in deeper. It provides a Kubernetes-native way to configure scraping by using selectors. So while the PostgreSQL cluster itself might be up and running, working as expected, the performance might be terrible or there are other problems taking place within the database that are not visible.įor monitoring there is another operator, the prometheus-operator, a Kubernetes controller that manages Prometheus instances, their configuration and their integration with tools like Alertmanager. One major headache is that this operator deploys your clusters, but doesn’t take care of the monitoring of these clusters. I use the “Zalando postgres-operator”, a Kubernetes operator that manages PostgreSQL clusters on my Kubernetes setup. Or to put it easier: Operators are programs that configure and manage other software. Operators are a concept of application specific Kubernetes controller. When running PostgreSQL in Kubernetes, operators become quickly a topic.
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