How to configure highly available container orchestration platform monitoring on Linux

How to configure high-availability container orchestration platform monitoring on Linux

With the development of container technology, container orchestration platforms are used by more and more enterprises as an important tool for managing and deploying containerized applications. use. In order to ensure the high availability of the container orchestration platform, monitoring is a very important part. It can help us understand the operating status of the platform in real time, quickly locate problems, and perform fault recovery. This article will introduce how to configure high-availability container orchestration platform monitoring on Linux and provide relevant code examples.

1. Select appropriate monitoring tools
Before configuring container orchestration platform monitoring, we need to select appropriate monitoring tools. Common container monitoring tools include Prometheus, Grafana, CAdvisor, etc. Among them, Prometheus is an open source monitoring system, suitable for monitoring container environments, and has high availability features. Grafana is a visual monitoring and analysis platform that can be integrated with Prometheus to provide more intuitive monitoring data display and analysis functions. CAdvisor is a tool for monitoring container resource usage. It can expose container resource usage and other data to Prometheus for collection.

2. Install and configure Prometheus

1. Installing Prometheus
   Installing Prometheus on Linux is very simple, we can install it by downloading the binary file. The specific steps are as follows:

   $ wget https://github.com/prometheus/prometheus/releases/download/v2.26.0/prometheus-2.26.0.linux-amd64.tar.gz
   $ tar -zxvf prometheus-2.26.0.linux-amd64.tar.gz
   $ cd prometheus-2.26.0.linux-amd64

2. Configuring Prometheus
   In the Prometheus configuration file prometheus.yml, we need to configure the targets and collection rules that need to be monitored. The sample configuration is as follows:

   global:
     scrape_interval: 15s
     scrape_timeout: 10s
     evaluation_interval: 15s
   
   scrape_configs:
     - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']
   
     - job_name: 'cadvisor'
    static_configs:
      - targets: ['localhost:8080']

   In the above configuration, we defined two jobs, one monitoring Prometheus itself and one monitoring CAdvisor. Among them, the targets field defines the target address and port that need to be monitored.

3. Install and configure Grafana

1. Installing Grafana
   We can install Grafana by downloading the binary file. The specific steps are as follows:

   $ wget https://dl.grafana.com/oss/release/grafana-8.1.5.linux-amd64.tar.gz
   $ tar -zxvf grafana-8.1.5.linux-amd64.tar.gz
   $ cd grafana-8.1.5.linux-amd64

2. Configuring Grafana
   In Grafana’s configuration file grafana.ini, we need to configure the data source and panel. The sample configuration is as follows:

   [datasource.prometheus]
   type = prometheus
   url = http://localhost:9090
   access = proxy
   
   [dashboard]
   enabled = true

   In the above configuration, we configured Prometheus as the data source and defined the URL and access permissions of Prometheus.

4. Configure CAdvisor
CAdvisor is a tool for container resource monitoring. We need to configure the container runtime to start CAdvisor and expose it to Prometheus. Taking Docker as an example, we can add the following parameters when the container starts:

$ docker run -d --name=cadvisor --privileged --volume=/:/rootfs:ro --volume=/var/run:/var/run:rw --volume=/sys:/sys:ro --volume=/var/lib/docker/:/var/lib/docker:ro --publish=8080:8080/google/cadvisor:latest

The above parameters mean to add / and /var/lib/docker/## in the container #Mount the directory into the CAdvisor container and expose the CAdvisor monitoring port to port 8080 of the host.

5. Run the monitoring system

1. Start Prometheus and Grafana

   Open a terminal window and execute the following command to start Prometheus:
   

   $ ./prometheus --config.file=prometheus.yml

   Open it again In a terminal window, execute the following command to start Grafana:

   $ ./bin/grafana-server

Configure Grafana's data source
2. Open the browser, visit http://localhost:3000, and enter Grafana's web interface. Select the data source menu on the interface, add a Prometheus data source, and configure the corresponding URL and access permissions.
   
Add monitoring panel
3. Enter the dashboard menu, click Add Dashboard, and select relevant indicators and charts for configuration. Through Grafana, we can customize the monitoring indicators and charts we need to display.
   

6. Summary

Through the above steps, we successfully configured a highly available container orchestration platform monitoring system on Linux. Prometheus, as the monitoring engine, is used to collect and store monitoring data of the container orchestration platform; Grafana provides intuitive and customizable monitoring data display and analysis functions. During the configuration process, we need to pay attention to correctly configuring monitoring targets, data sources, and panels to ensure that the monitoring system can correctly collect and display the running status of the container orchestration platform.

I hope this article can provide some help to developers and operation and maintenance personnel who are using or planning to use container orchestration platforms and better configure and manage high-availability container orchestration platform monitoring. If necessary, you can modify and adjust the configuration in the example according to the actual situation to meet your own monitoring needs.

The above is the detailed content of How to configure highly available container orchestration platform monitoring on Linux. For more information, please follow other related articles on the PHP Chinese website!