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In this blog post I will setup a local Docker swarm cluster running a sample service to demonstrate how this looks like. And finally you can now start your monitoring: First check if Prometheus is running and detecting all your metric providers by selecting the menu Status -> Targets: If all endpoints are up, you can switch to the Grafana UI: To access the metrics collected by Prometheus you just need create a Prometheus Datasource. So we can configure one scrape job that covers all existing services. I provides metrics about docker itself. We have to convert them into a less problematic format to use them in this way. As Prometheus scrapes the service metrics periodically, and every scrape request is routed independently from the previous ones, chances are that the next scrape request is routed to and answered by a different service instance returning the metrics of this instance, and so on. _paq.push(['enableLinkTracking']); Executing a basic query for one of the metrics written by the sample application I get three resulting time series, one for each of my instances. Now, with one generic scrape job, we have to find another solution for that. I want to call the /federate endpoint of the swarm-prometheus and query for all time series that are collected by my swarm-service scrape job (I use curl with -G and --data-urlencode options to be able to use the unencoded parameter values). This configuration takes all values of the source_labels (here instance), applies the given regex to each value, replaces the value with the given replacement expression (using the group variables ${1}, ${2}, defined by the regex), and writes the replaced value as the target_label (here also instance, so overwriting the original value) into the metrics. application.properties) of each of our Spring Boot services a label named service with a static value containing the service name (here sample-service-1) is added to all metrics written by our service. Looking up the service name itself I get one single virtual IP address, To resolve the virtual IP addresses of all service replicas running in my Docker swarm I have to lookup the tasks. domain name (see Docker overlay network documentation). As defined by our docker-compose.yml file we have two targets the node-exporter and the cAdvisor: The important part here is the targets section in the job descriptions for the node-exporter and the cadvisor. In this blog post I will demonstrate how this can be done quite easily by introducing an intermediate Prometheus instance within the Docker swarm and combining a couple of Prometheus features (mainly dns_sd_configs and cross service federation) to collect and fetch the required metrics data. Just use our S/MIME certificates (.cer, .p7b, .pem) or our public PGP key. var _paq = _paq || []; The concept, which is already an open infrastructure project on Github enables you to run your business applications and microservices in a self-hosted platform. But, doing this we might run into another problem. At this point, I have the metrics of all of my service instances gathered in the swarm-prometheus. He loves light-weight architectures, domain-driven design, clean code, and automated testing. The next service is the node-exporter. There is no need to install extra software on your server nodes. Grafana Dashboards - discover and share dashboards for Grafana. In Docker it is always a good idea to hide as many services from external access as possible. If Prometheus would know about the multiple service instances and could scrape them individually, it would add an instance label to the metrics and by this store distinct time series for every metric and instance. You can start you own monitoring stack with docker-compose and only one single configuration file. You can send us encrypted emails, too. Grafana.com provides a central repository where the community can come together to discover and share dashboards. Here you can enter the internal Prometheus URL. g.type='text/javascript'; g.async=true; g.defer=true; g.src=u+'piwik.js'; s.parentNode.insertBefore(g,s); In my example I define two nodes for each service the manager-001 node and the worker-001 node which are part of my Docker Swarm. Sep 5th, 2019 12:07 am The service is accessible via port 3000. })(); Your email address will not be published. This DNS service discovery feature is exactly what can be used by a Prometheus instance running within the Docker swarm to scrape all those service instances (I will refer to this instance as swarm-prometheus in the remaining text). As I will run the host-prometheus in Docker, connected to the same network as my swarm, I can just use the swarm-prometheus service name as a host name. The instance label, that was added by the prometheus scrape job, contains the IP and port of the according service instance. Got any useful tips about stefanprodan/swarmprom? # HELP jvm_gc_live_data_size_bytes Size of old generation memory pool after a full GC, # HELP jvm_classes_loaded_classes The number of classes that are currently loaded in the Java virtual machine, ^([0-9]+)\.([0-9]+)\.([0-9]+)\. This means it is visible to the Prometheus service but not accessible from outside. Solution architecture: Linux workers with Prometheus and Grafana. The first service in the docker-compose.yml file is the Prometheus service. , Monitoring with Prometheus and Grafana on Docker swarm, Playbooks for installing Prometheus and Grafana on Swarm. The resulting data does not give you any coherent picture of your service. Never miss out on interesting articles, events and podcasts on architecture, development and technology trends! Thats it, you can now see how your docker-swarm is working: Monitoring Docker Swarm is easy with the existing services Prometheus and Grafana. You can add a separate node-exporter definition in your docker-compose.yml file for each docker node which is part of your docker-swarm. I have to install the dnsutils package to be able to use nslookup. Imixs Workflow If you want to deploy the stack with no pre-configured dashboards, you would need to use ./docker-compose.html, but in this case we will deploy the stack with pre-configured dashboards. If you run several different Spring Boot services in your docker swarm, all listening on the default port 8080, setting up a dedicated swarm-prometheus scrape job for each service is quite redundant. Use docker stack services mon to see if all the tasks has checked into its desired count then access grafana on http://grafana.${DOMAIN}. To see the DNS service discovery at work I connect to one of the containers running inside the Docker swarm. Imixs.com Software Solutions GmbH You have to fetch the metrics of all running service instances, but how to identify and access them? If you are looking for more information on Prometheus, have a look at my other Prometheus and Monitoring blog posts. _paq.push(['setTrackerUrl', u+'piwik.php']); var d=document, g=d.createElement('script'), s=d.getElementsByTagName('script')[0]; This service imports the prometheus.yml file form the host directory management/monitioring/ and exposes the api on port 9090 which is public accessible from our frontend network. A docker-compose stack for local development with Prometheus/Grafana metrics. Use our contact form or send us an email to [emailprotected]. Update: Since Prometheus 2.20 theres also a Docker Swarm service discovery available that might be used instead of the DNS service discovery described in this post. https://grafana.com/grafana/dashboards?pg=dashboards&plcmt=featured-sub1). replicas) of this service running. _paq.push(['setSiteId', '4']); Within a Docker swarm cluster an application runs as a service. But you can run the service also on any other node within your swarm network. Prometheus provides a /federate endpoint that can be used to scrape selected sets of time series from another Prometheus instance (see documentation for details). Again this service can be defined for each docker node within your docker-swarm network. Docker Swarm instrumentation with Prometheus, Grafana, cAdvisor, Node Exporter and Alert Manager, Prometheus Docker daemon metrics exporter, Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager, Prometheus & Grafana via Docker Compose with some default dashboards and stuff. In the following example the service exports hardware metrics from the node manager-001: You can replace the host name with the corresponding host name from your environment. - https://github.com/bekkerstacks/monitoring-cpang/wiki, The github repository: The load among the three hosts will be shared as per the following diagram. Playbooks for installing Prometheus and Grafana on Swarm So I will create a custom overlay network first. The endpoint expects one or more instant vector selectors to specify the requested time series. And, as you might have noticed, its possible to provide a list with multiple domain names in the dns_sd_configs. of the running instances. Now as your docker-compose.yml file defines all services needed to monitor, you can setup your prometheus.yml file. Containers and hosts stats logs via docker prometheus & grafana, Sample prometheus that can be used as a sample to get Swarm cluster metrics, A docker-compose stack for Prometheus monitoring, Docker container using the JMX Exporter to easily monitor Kafka via Prometheus. So, that was already it. This file tells Prometheus where to collect the metric data. You can find the full concept explained here on Github in the Imixs-Cloud project. The only thing that would have to be changed for each service is the requested domain name (tasks.). Deploying Prometheus and Grafana on Kubernetes, Deploying Prometheus and Grafana on Docker Swarm. The second network backend is used only internally by the monitoring stack. Inside the swarm, there are usually multiple instances (a.k.a. https://prometheus.io/docs/guides/cadvisor/, https://prometheus.io/docs/guides/node-exporter/, cAdvisor: metric agent for docker swarm cluster, Node_exporter: metric agent for linux host, Server for collecting metric from each agents, Check each services are correctly running on each node, Also can check with metric URLs on the web browser, from the gui, Status > Targets can see the scraping jobs you configured before, import existing dashboard from community (Grafana Labs. Scraping a Docker swarm service from a Prometheus server that is outside the swarm is not as easy as it might look at a first glance. _paq.push(['trackPageView']); With the old configuration, with one scrape job per service, we were able to name the scrape jobs accordingly and use the job label to identify/filter the metrics of the different services. The solution can be configured to enable the use of Prometheus and Grafana for monitoring. Hence, if you run Prometheus itself as a service within the Docker swarm, you can use its dns_sd_configs feature together with the Docker swarm DNS service discovery to scrape all instances individually. docker, grafana, monitoring, prometheus, swarm, Deploy Traefik using Bekker Stacks Figure 18. After implementing the above setup in my current project I came up with some improvements that I think are worth sharing, too. Sample queries for monitoring docker swarm cluster, $instance: grafana variable that you can configure dashboard settings with query(label_values(instance)), Untitled: White board for stacking my life, Prometheus & Grafana: Docker swarm monitoring, https://grafana.com/grafana/dashboards?pg=dashboards&plcmt=featured-sub1), Geofront server with automatic colonize: ssh key management, Kubernetes: Create Cluster with HA in v1.13, ElasticSearch: Install and configure the Curator. Fortunately, Micrometer, the library that we use in our Spring Boot application to provide the Prometheus metrics endpoint, can easily be configured to add custom labels to all written metrics. To setup the swarm-prometheus service I build a Docker image based on the latest official Prometheus image and add my own configuration file. The interesting part of the configuration file is the swarm-service scrape job I added. Have a look at HTTPS Mode if you want to deploy traefik on HTTPS, as I will use HTTP in this demonstration. to repeat panels for all instances or filter data for one concrete instance) this will not work because of the dots and colons in the values (those values will break the data requests to the underlying Prometheus because they are not URL encoded by Grafana). If you want to use them as dashboard variables (e.g. I need to execute a type A DNS query and as the query only returns the IP addresses of the service instance I have to tell Prometheus the port the instances are listening on along with the path to the metrics endpoint. In the example I place the service here on the manager node from my docker swarm. The cAdvisor is the second metrics collector. The following short tutorial shows how you can use Prometheus and Grafana to simplify monitoring. In this tutorial we will deploy a monitoring stack to docker swarm, that includes Grafana, Prometheus, Node-Exporter, cAdvisor and Alertmanager. Imixs on GitHub To the outer world (everything outside the swarm cluster) the service looks like one instance that can be accessed via a published port. /* tracker methods like "setCustomDimension" should be called before "trackPageView" */ You will find a complete description about a lightweight docker swarm environment on Github Join the Imixs-Cloud project! I use a dns_sd_config (see documentation for details) to lookup the scrape targets by executing a DNS query. So, the old value 10.0.1.3:8080 will be converted into 10_0_1_3 which is less problematic for Grafana. The Node-Exporter is a docker image provided by Prometheus to expose metrics like disk, memory and network from a docker host. The last service needed for our monitoring is Grafana. This is because you need a separate node-exporter and cAdvisor running on each node.