The application was built on top of the Flask framework. In addition, just as when running the Docker Stats command and using cAdvisor, Sysdig’s open source version allows you to get a real-time view of your containers. Because Docker operates using virtual software packages (called “containers”) running from the same software kernel, Docker can help you reduce storage overhead while deepening the complex functions of your server. Here we will use alert-manager component to send notification to a hipchat account when alerts are triggered.To setup notification, we need to configure three files-To map the alert rules in docker-compose.yml, add the following line to the volumes section of the prometheus service in docker-compose.ymlAt last edit prometheus.yml to tell the prometheus about the path of rule files.Let us restart the containers with the following command-Once docker is up, click alerts in prometheus dashboard, you can view the alerts.As we have already defined an alert by the name high_load with load average greater than 0.5, let us trigger this alert by creating a load with the following command.After few seconds, we will see the alert high_load is active.Remember alerts themselves are metrics means alerts can be viewed in grafana dashboard.
If you want to know more about Prometheus, You can watch all the Prometheus related videos from … # docker-compose.yml version: '2' services: prometheus: image: prom/prometheus:latest volumes: Node exporter can be run as a docker container while reporting stats for the host system. We will append configuration setting to the existing docker-compose.yml and prometheus.yml to bring up life to node-exporter. How can we get Prometheus running in docker container able to scrape the target running on the host? Node exporter can be run as a docker container while reporting stats for the host system. The docker stats reference page has more details about the docker stats command.. Control groups. It is therefore very easy to instrument any system that can run docker containers. The application was built on top of the Flask framework.The project was created to give an alternative to the popular cAdvisor metrics exporter for Prometheus.
Node exporter collects system matrices like CPU/memory/storage usage for the host machine and exports these to prometheus in format that it understands. The beauty of this is that it can be run as a docker container while also reporting stats for the host system. If there is no error its state will be UP.To check the container metrics, click graphs from the top menu bar and select any of the container parameter from the drop-down list and click execute. Use Git or checkout with SVN using the web URL. docker-stats-exporter is a Prometheus Metrics Exporter which integrates with the Docker API to transform Docker stats into Prometheus metrics. Press 'Graph' tab to view the graph.As of now we have installed and configured prometheus server and Node exporter. to mount the proper cgroup and proc volumes.To figure out where your control groups are mounted on the host, you can runHere is a full list of the available environment variables you can set and a short explanation for each. Our final configuration for docker-compose.yml looks like this.This is all need to be done to configure alert manager and to connect Prometheus but we still need to create alertmanager.yml. Most of our containers are surfacing there own prometheus stats which provide the application specifics which we are looking to surface in Grafana. To use docker stats we simply write on the command line: docker stats [OPTIONS] [CONTAINER…] The execution of this command will show us this output: We can use many options with docker stats command line. Created in 2012 at SoundCloud, Prometheus is a time series database used in DevOps for real time monitoring. Let us now set-up Grafana which is a graphical interface with a dashboard that supports prometheus as a back-end to query for the data to generate the graph.Although prometheus has a built in graph features that can be access through its web interface but grafana offers a much more powerful features.
What is Prometheus? Hopefully you will find it more useful How to Setup Monitoring for Docker Containers using Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud.Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community.It is now a standalone open source project and maintained independently of any company. Explaining Prometheus is out of the scope of this article. In this tutorial, we will install/configure following component:The primary function of prometheus is to query docker services on predefined metrics, create graphs, query database, to check health status of services and to notify the alertmanager based on alert rules. Docker stats shows the percentage of CPU utilization for each container, the memory used and total memory available to the container. What it does is collect system metrics like cpu/memory/storage usage and then it exports it for Prometheus to scrape. Before that let us configure an alert receiver.Login to your hipchat account->select the room->integrations Now click “Build your own integration's”Note down room no and authentication token that we will use in configuring alertmanager.confThis is our alertmanager.yml which is configured to send alerts to a hipchat account. 需要对模板就行修改，在设置---templating 点击，修改label_values(up{job="container"}, instance)，其中注意修改container，它是在prometheus里面的标签，cadvisor端口为8090 docker run The execution of notification is done by alertmanager and routes alerts to different channels like hipchat, slacks, email etc. Lastly cAdvisor scrapes information about containers inside the host system and send this data to the prometheus.To install the above components, make sure you have installed these two pre-requisites iLet us create a very simple docker-compose.yml configuration file and prometheus configuration file prometheus.yml to install prometheus.Inside docker-compose.yml the mapping of prometheus config file into the container as a volume is done under volume tag and adding a config parameter to the command pointing to this file. The alertmanager can also suppress notification if it has the same source so as to avoid spam.