The “name” is the name of the metric field in Prometheus, in this case the name is consul_runtime. To view this data, you must send a signal to the Consul process: on Unix, this is USR1 while on Windows it is BREAK. In fact, if you need to use a label structure as in the example, you may need to define a separate job for the whole elasticsearch node since each “_hostname” tag should be different.You can register-deregister the services to your consul server You can reach the detailed document from the link below.If there is a consul agent on your servers, it will be enough to save a json file under “/etc/consul/consul.d/” path as below and reload the consul-agent service.As an additional option, you can remove the “Service” section and save it to your local computer with the json extension and create your service via http api provided by the consul catalog.While creating the consul service, we should define Consul tags according to our needs because we will export these Consul tags to Prometheus as labels. I have been using Ansible to generate the prometheus.yml configuration file, using variables to generate each section of the … So some graphs shows information specific to the selected Consul server (Dropdown at the top of the page) and some graphs show specific data for the Consul Leader.If you have suggestions to improve the current situation, by either suggestion a better statsd mapper configuration file or for the Dashboard, please let me know so I can improve it. Review the These are some metrics emitted that can help you understand the health of your cluster at a glance.
Once we have configured this on all the Consul Servers, we need to restart them one by one so we keep the Consul Cluster running.When you use Prometheus, you’ll use exporters for your applications or databases to expose the metrics for Prometheus. It stores the collected metrics in the time-series database. The last “host” label is something I add with Ansible. We need to make sure we have a statd mapper file. Thus we can monitor our services end to end, by using prometheus. With Prometheus you can easily gather metrics of applications and/or databases to see the actual performance of the application/database. I’ve gained huge insights into my home network (and a few external services I rely on), and have been very happy with it. In Trendyol, we use prometheus for monitoring lots of services such as kubernetes, elasticsearch, couchbase, postgresql, kafka, rabbitmq.Most services expose “/metrics” endpoint for prometheus scrape jobs. This appears to be the normal behaviour for summaries in Prometheus: the sum and count are eternal, but the quantiles expire and afterwards only contain NaN. This blogpost was before Consul made the new endpoint available for metrics, but this exporter is way easier to use!Fill in your details below or click an icon to log in:Monitoring Consul with statsd exporter and Prometheus When you have a tool like Zabbix or Nagios, you’ll need to write one or multiple scripts to gather all metrics and see how much you can store in your database without loosing performance of your monitoring tool.
We already configured the Consul Servers to send metrics to a statsd server, so we only have to make sure we start one on each host running Consul Server.Before we start an statsd-exporter, we first have to do some configuration first. These metrics are aggregated on a ten You can check the supported exporters the link below.In Prometheus server, we need to specify targets(metric urls) in config file: “/etc/prometheus/prometheus.yaml ”After lots of researches and comparisons to overcome this challenge, we decided to use Consul Service Discovery to automate our monitoring systems.You can check the detailed configuration document in the link below.For example, to monitor an Elasticsearch service we need to install a node-exporter which serves at 9100 port as metric url and we need to modify the prometheus config file like this:In such use, we will need to update the targets when you add or remove each elasticsearch node. In addition to being a good way to quickly collect metrics, it can be added to a script or it can be used with monitoring agents that support HTTP scraping, such as Prometheus, to visualize the data.