1. Set up Prometheus on the server.
2. Make a file with the prometheus configuration.
3. start prometheus using the settings you've chosen.
4. Put in place Grafana

You can try to contact Sangfor Team

Use predefined or custom queries in Grafana to display key performance indicators (KPIs) such as CPU usage, memory utilization, storage performance, network throughput, and HCI cluster health.

. Include prometheus in Grafana's data sources.
. Make dashboards with Grafana.
set up Grafana alert rules according to the desired HCI metrics to be tracked.
. Over time, explore and analyze HCI data using Prometheus and Grafana.
observing and keeping an eye on

In your Sangfor HCI environment, install and set up Prometheus.
Set up Grafana on your computer.
Set up Grafana to establish a connection with the Prometheus data source.
In Grafana, create a new dashboard and add the necessary metrics.

What should be the use case why you want to use prometheus?

You can try this detailed instructions on how to monitor Sangfor HCI via Grafana and Prometheus:

1. Prometheus Node Exporter Installation:

    Install on Each HCI Node: Deploy the Prometheus Node Exporter on each node of your Sangfor HCI cluster. This component collects system metrics (CPU, memory, disk, network, etc.).
    Follow Official Instructions: Refer to the official Prometheus Node Exporter documentation for installation steps, considering your operating system and environment.

2. Prometheus Configuration:

    Target Node Exporters: Configure Prometheus to scrape metrics from the Node Exporters running on your HCI nodes.
    Scraping Configuration:
        Edit the prometheus.yml file to add the Node Exporter targets:
    YAML

    scrape_configs:
      - job_name: 'node_exporter'
        static_configs:
          - targets: ['<node_exporter_IP_1:9100>', '<node_exporter_IP_2:9100>', ...]

    Use code with caution. Learn more

        Replace the placeholders with the actual IP addresses or hostnames of your HCI nodes.

3. Grafana Integration:

    Install Grafana: Set up a Grafana instance to visualize the collected metrics.
    Add Prometheus Data Source: In Grafana, add Prometheus as a data source:
        Provide the Prometheus server's URL.
        Configure authentication if required.
    Create Dashboards: Design Grafana dashboards with panels that display relevant HCI metrics (e.g., CPU usage, memory usage, disk I/O, network traffic).
    Prometheus Query Language (PromQL): Use PromQL to query and visualize metrics from Prometheus within Grafana panels.

4. Additional Considerations:

    Sangfor HCI Metrics: Explore if Sangfor HCI provides specific metrics or APIs for integration with Prometheus.
    Custom Exporters: If needed, develop custom exporters to collect additional metrics not exposed by Node Exporter.
    Alerting: Set up alerting in Grafana to notify you of potential issues or anomalies in your HCI environment.
    Custom Dashboards: Customize dashboards to align with your specific monitoring needs and preferences.

5. Visualization and Alerting:

    Create Visualizations: Use Grafana's features to create various visualizations (graphs, charts, gauges, etc.) to represent the collected metrics.
    Set Alerts: Configure alerts in Grafana to trigger notifications when certain thresholds are met or anomalies are detected.

Remember:

    Documentation: Refer to the official documentation of Prometheus, Node Exporter, and Grafana for detailed instructions and troubleshooting guidance.
    Security: Implement appropriate security measures to protect your monitoring infrastructure.
    Maintenance: Regularly update and maintain your monitoring components to ensure optimal performance and security.