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This information is for Palo Alto Networks Telemetry Pipeline, which is a standalone product separate from Palo Alto Networks Cortex XCOR.
To get started with Palo Alto Networks Telemetry Pipeline on Linux, you’ll need to install a Core Operator in each Linux environment where you want to deploy pipelines.

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Supported Linux distributions

Palo Alto Networks Telemetry Pipeline is compatible with the following Linux distributions:
  • Amazon Linux 2023
  • Red Hat Enterprise Linux 7.9, 8.0 or later, and 9.0 or later
  • CentOS Linux 8 and 9
  • Rocky Linux 9
  • Ubuntu Server 20.04 LTS and 24.04 LTS

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Installation steps

To install a Core Operator on Linux:
  1. Review the Palo Alto Networks Telemetry Pipeline installation prerequisites.
  2. Review the K3s requirements. As part of the Core Operator installation process, Palo Alto Networks Telemetry Pipeline deploys a local K3s cluster in your Linux environment.
  3. Run the following command:
    This command installs Pipeline CLI, deploys a K3s cluster, and installs a Core Operator inside that cluster.
  4. Repeat these steps for each Linux environment where you want to use Palo Alto Networks Telemetry Pipeline. For example, if you have multiple Linux virtual machines, you must install a dedicated Core Operator inside every virtual machine.

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Health checks

As part of the Core Operator installation process, Palo Alto Networks Telemetry Pipeline performs the following health checks:
  • Checks for curl
  • Checks for systemctl
  • Ensures the system meets the basic requirements
  • Checks that Federal Information Processing Standards (FIPS) mode isn’t enabled
  • Checks that a firewall isn’t enabled
  • Tests connectivity to https://cloud-api.calyptia.com
  • Tests connectivity to https://ghcr.io/calyptia/core
  • Checks SELinux status
If the checks find an issue, an error message outputs to the console. See Troubleshoot Palo Alto Networks Telemetry Pipeline installations on Linux for additional help.

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Next steps

After you’ve installed a Core Operator in your Linux environment, you can create a Core Instance in that environment.