Thus, let’s create Prometheus Docker container using the official Prometheus Docker image and configure it to use our custom network created above, monitoring_stack. Prometheus will publish the metrics it scrapes from Node exporter and cAdvisor on port 9090. While creating Prometheus swarm service, we will mount this configuration file to the default Prometheus configuration file, /etc/prometheus/prometheus.yml. In our setup, we placed the Prometheus configuration file under /opt/prometheus directory. Next, let’s deploy Prometheus as a Docker swarm service to scrape collected swarm node metrics from Node Exporter containers.įirst of all, before you can deploy Prometheus swarm service, create a Prometheus configuration file. You can check the status of the Node exporter container by running the command below on each node docker psĪlso possible to get logs docker logs -f node-exp-swarm01 Deploy Prometheus Docker Swarm Service This port will be reachable within container networks. On the rest of the nodes, run the command, replacing the name of the node exporter on each node.īy default, Node Exporter exposes metrics on port 9100. volume /var/lib/docker/:/var/lib/docker:ro \ To deploy Node Exporter Docker container on our Swarm Node01 You can simply run the command below to deploy Node Exporter and attach it to our custom Docker network above Him49eblt74amba1nghv2f8z1 * swarm01 Ready Active Leader 20.10.22Ĥlxyd0f6d9h039y5itjiffqax swarm02 Ready Active Reachable 20.10.12ĭfmdl4wy4e7ouklu8mu7nqqh9 swarm03 Ready Active Reachable 20.10.22 ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION ![]() We have three nodes in our swarm cluster docker node ls On each Docker Swarm cluster node, deploy the Prometheus Node Exporter to collect individual node metrics docker network create -driver overlay -attachable monitoring_stack Deploy Node Exporter Docker Container You can use this command to create the network, replacing monitoring_stack with your preferred network name. You check available Docker networks using the command below docker network lsĨ41640b7368f docker_gwbridge bridge localĮ5mklugaqapm monitoring_stack overlay swarm We have already created an overlay network called monitoring_stack. If you need to configure Docker containers to use Docker swarm network, then you need to make the Docker swarm network you are creating to be attachable. Since we are dealing with Docker swarm, then overlay networks can be used to provide communication between services. The monitoring tools should be in the same network for them to communicate with each other. How to Setup Docker Swarm Cluster on Ubuntu Create Docker Swarm Network to Interconnect Monitoring Tools If you haven’t, please refer to this guide to learn how to setup swarm cluster. Since we are dealing swarm services, you need to have setup swarm cluster that whose metrics need to be monitored. ![]() Install Docker in Linux Setup Docker Swarm Cluster ![]() If you have not already installed Docker Engine, please refer to appropriate guides in the link below We will run Grafana and Prometheus as swarm services, while Node exporter as separate docker containers on each swarm node. So, how can we be able to monitor Docker swarm node metrics using Grafana, coupled with Prometheus, Node exporter? In this guide, we will monitor Docker swarm node metrics using Grafana, Prometheus and Node exporter. Monitor Docker Swarm Node Metrics using Grafana Such metrics are scraped using Promethes, which acts as data source to Grafana which let’s you create visualization for all your Docker swarm node metrics for monitoring. Prometheus node exporter can be used to collect hardware and OS metrics that are exposed by the kernel. This example uses a prometheus.How can I monitor Docker swarm node metrics? In this tutorial, you will learn how to monitor Docker swarm node metrics using Grafana. In those cases, exported fields retain their last is only reported as unhealthy if givenĪn invalid configuration. The exported targets use the configured in-memory traffic address specified by the run command. The targets that can be used to collect exporter metrics.įor example, the targets can either be passed to a discovery.relabel component to rewrite the targets’ label sets or to a prometheus.scrape component that collects the exposed metrics. The following fields are exported and can be referenced by other components. Ignore server certificate if using https. Omitted fields take their default values. The following arguments can be used to configure the exporter’s behavior.Īll arguments are optional.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |