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kernelcare

Agent Check: kernelcare

Overview

KernelCare is a live patching system that automatically applies security patches to Linux kernel vulnerabilities, with no reboots. It's used on over 500,000 servers, and has been used to patch servers running for 6+ years for Dell, Zoom and other enterprise companies. It works with all major Linux distributions, such as RHEL, CentOS, Amazon Linux, and Ubuntu & interoperates with common vulnerability scanners, cloud monitoring tools & patch management solutions.

This integration allows you to forward the Kernelcare metrics through the Datadog Agent.

Setup

Follow the instructions below to install and configure this check for an Agent running on a host. For containerized environments, see the Autodiscovery Integration Templates for guidance on applying these instructions.

Installation

If you are using Agent v6.8+ follow the instructions below to install the Kernelcare check on your host. See the dedicated Agent guide for installing community integrations to install checks with the Agent prior v6.8 or the Docker Agent:

  1. Download and launch the Datadog Agent.

  2. Run the following command to install the integrations wheel with the Agent:

    datadog-agent integration install -t datadog-kernelcare==<INTEGRATION_VERSION>
  3. Configure your integration like any other packaged integration.

Configuration

  1. Edit the kernelcare.d/conf.yaml file, in the conf.d/ folder at the root of your Agent's configuration directory to start collecting your kernelcare performance data. See the sample kernelcare.d/conf.yaml for all available configuration options.

  2. Restart the Agent.

Validation

Run the Agent's status subcommand and look for kernelcare under the Checks section.

Data Collected

Metrics

See metadata.csv for a list of metrics provided by this check.

Service Checks

kernelcare.can_connect:

Returns Critical if the Agent cannot connect to Kernelcare to collect metrics, returns OK otherwise.

Events

kernelcare does not include any events.

Troubleshooting

Need help? Contact Datadog support.