Together with its companion Alertmanager service, Prometheus is a flexible metrics collection and alerting tool. Kubernetes), applications, and services (e.g. Supported "targets" include infrastructure platforms (e.g. Prometheus is open-source software that collects metrics from targets by "scraping" metrics HTTP endpoints. It gathers, organizes, and stores metrics along with unique identifiers and timestamps. Prometheus is a monitoring solution for recording and processing any purely numeric time-series. We will also look at alternative monitoring tools to help you make the right choice for your organization's needs. This article answers these questions and explains how Prometheus monitoring can benefit your company. But how effective is Prometheus, and what are its limits? The Prometheus monitoring platform is one of the most popular TSDBs available today. As a result, telemetry data and time-series databases (TSDB) have exploded in popularity over the past several years. Head over to the main page of Grafana (located at by default), and click on the Import option in the left menu.The best performing organizations rely on metrics to monitor and understand the performance of their applications and infrastructure. In our case, we are going to use the Windows Node dashboard, accessible via the 2129 ID. In Grafana, you can either create your own dashboards or you can use pre-existing ones that contributors already crafted for you. Prometheus should be configured as a Grafana target, and accessible through your reverse proxy. If you are looking to install Grafana on Windows, here is another guide for it. Make sure to configure your Grafana properly before moving to the next section. The Prometheus & Grafana installation was already covered in our previous guides. V - Building an Awesome Grafana Dashboard Now it is time for us to start building an awesome Grafana dashboard to monitor our Windows Server. Great! Our Windows Server monitoring is almost ready. If you are getting the following error, “context deadline exceeded”, make sure that the scrape timeout is set in your configuration file. Head back to the Prometheus UI, and select the “ Targets “ tab to make sure that Prometheus is correctly connected to the WMI exporter. $ sudo systemctl restart prometheus $ sudo systemctl status prometheus Save your file, and restart your Prometheus service. scrape_interval: 6s scrape_timeout: 5s static_configs: - targets: job_name: 'prometheus' # Careful, the scrape timeout has to be lower than the scrape interval. scrape_configs: # The job name is added as a label `job=` to any timeseries scraped from this config. Head over to your configuration file (mine is located at /etc/prometheus/prometheus.yml) and edit the following changes to your file. If you want to keep a low scrape timeout, make sure to configure the WMI exporter to export less metrics (by specifying just a few collectors for example). This is why we are going to set a high scrape timeout in our configuration file. d - Binding Prometheus to the WMI exporterĪs you probably saw from your web browser request, the WMI exporter exports a lot of metrics.Īs a consequence, there is a chance that the scrape request times out when trying to get the metrics. This is done in Prometheus configuration file. If you remember correctly, Prometheus scrapes targets.Īs a consequence, we have to configure our Windows Server as a Prometheus target. Windows Server monitoring is now active using the WMI exporter. In short, here is the final architecture that you are going to build. The WMI exporter will run as a Windows service and it will be responsible for gathering metrics about your system. If you were to monitor a Linux system, you would run a “ Node Exporter “, that would be responsible for gathering metrics about the CPU usage or the disk I/O currently in use.įor Windows hosts, you are going to use the WMI exporter. Such targets are equipped with “ exporters “ : exporters are binaries running on a target and responsible for getting and aggregating metrics about the host itself. Targets are nodes that are exposing metrics on a given URL, accessible by Prometheus. II - Windows Server Monitoring Architectureīefore installing the WMI exporter, let’s have a quick look at what our final architecture looks like.Īs a reminder, Prometheus is constantly scraping targets. Quite a long program, let’s jump into it. How to build an awesome Grafana dashboard to visualize your metrics.How to bind Prometheus to your WMI exporter.How to download and install the WMI exporter for Windows servers.How to install and configure Prometheus on your Linux servers.If you follow this tutorial until the end, here are the key concepts you are going to learn about.
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