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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
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
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
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
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.
Open a terminal window and execute the following command to start Prometheus:
$ ./prometheus --config.file=prometheus.ymlOpen it again In a terminal window, execute the following command to start Grafana:
$ ./bin/grafana-server
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.
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