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HomeOperation and MaintenanceLinux Operation and MaintenanceHow to configure highly available container orchestration tool monitoring on Linux

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

Introduction:
With the widespread application of container technology, container orchestration tools such as Kubernetes, Docker Swarm, etc. are becoming more and more important. . In a production environment, in order to ensure the high availability and stability of services, we need to monitor and manage container orchestration tools. This article will introduce how to configure highly available container orchestration tool monitoring on Linux and provide you with relevant code examples.

Step 1: Install Prometheus
Prometheus is an open source monitoring and alerting system suitable for container environments. First, we need to install Prometheus on Linux. Please follow the steps below:

  1. Download the Prometheus binary:

    wget https://github.com/prometheus/prometheus/releases/download/v2.15.2/prometheus-2.15.2.linux-amd64.tar.gz
  2. Unzip the file:

    tar -zxvf prometheus-2.15.2.linux-amd64.tar.gz
  3. Enter the decompressed directory:

    cd prometheus-2.15.2.linux-amd64/
  4. Configure Prometheus:
    Add the following content to the prometheus.yml file:

    global:
      scrape_interval: 15s
      evaluation_interval: 15s
    
    scrape_configs:
      - job_name: 'prometheus'
     scrape_interval: 5s
     static_configs:
       - targets: ['localhost:9090']
    
      - job_name: 'kubernetes'
     kubernetes_sd_configs:
       - api_server: 'http://localhost:8001'
     relabel_configs:
       - source_labels: [__meta_kubernetes_pod_label_app]
         action: keep
         regex: 'your-app-name-here'
  5. Start Prometheus:

    ./prometheus

At this point, Prometheus has been installed and running on Linux.

Step 2: Configure Grafana
Grafana is an open source data visualization and monitoring dashboard tool. We can use Grafana to display monitoring data collected by Prometheus. Please follow the steps below:

  1. Download Grafana binary:

    wget https://dl.grafana.com/oss/release/grafana-6.6.0.linux-amd64.tar.gz
  2. Unzip the file:

    tar -zxvf grafana-6.6.0.linux-amd64.tar.gz
  3. Enter the decompressed directory:

    cd grafana-6.6.0/bin/
  4. Start Grafana:

    ./grafana-server
  5. Access Grafana in the browser:
    In the browser Enter http://localhost:3000, and the default username and password to log in to Grafana are admin.
    Click "Configuration" -> "Data Sources" on the left menu, and then click "Add data source".
    Fill in the following information:
    Name: Prometheus
    Type: Prometheus
    URL: http://localhost:9090
    Click "Save & Test".

Step 3: Configure Alertmanager
Alertmanager is a component used to manage and send alerts and can be integrated with Prometheus. Please follow the steps below:

  1. Download Alertmanager binary:

    wget https://github.com/prometheus/alertmanager/releases/download/v0.20.0/alertmanager-0.20.0.linux-amd64.tar.gz
  2. Unzip the file:

    tar -zxvf alertmanager-0.20.0.linux-amd64.tar.gz
  3. Enter the decompressed directory:

    cd alertmanager-0.20.0.linux-amd64/
  4. Configure Alertmanager:
    Add the following content to the alertmanager.yml file:

    global:
      slack_api_url: 'your-slack-api-url'
    route:
      receiver: 'slack'
  5. name: 'slack'
    slack_configs:

    • channel: '#your-slack-channel'

Where, your-slack-api-url is your Slack API URL and your-slack-channel is the Slack channel you want to send alerts to.

  1. Start Alertmanager:

    ./alertmanager

At this point, Alertmanager has been installed and running on Linux.

Conclusion:
Through the above steps, we successfully installed and configured a highly available container orchestration tool monitoring system. Prometheus is responsible for collecting and storing monitoring indicators, Grafana provides visual dashboards, and Alertmanager is used to manage and send alerts. These tools will help you monitor and manage container orchestration tools and improve system availability and stability. Continuously learn and become proficient in using these tools to better manage your container environment.

Code examples:
In the above steps, we have provided corresponding code examples, including Prometheus configuration fileprometheus.yml, Grafana configuration and Alertmanager configuration filealertmanager.yml. You can follow the above example and modify it accordingly according to your actual situation.

Please note that the code examples are for reference only. The specific configuration and parameters may vary depending on the actual situation. Please make corresponding adjustments according to your needs.

Reference materials:

  • Prometheus official documentation: https://prometheus.io/docs/
  • Grafana official documentation: https://grafana.com/ docs/
  • Alertmanager official documentation: https://prometheus.io/docs/alerting/alertmanager/

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