Fleet Management API Use Cases

Fleet Management API use cases.

The following use cases illustrate the scenarios where the Fleet Management API can be leveraged to enhance automation, validation, and incident response processes. These examples demonstrate how the API supports quick debugging through scripting, integration into CI/CD pipelines for deployment validation, and automation of incident response workflows to improve operational efficiency and reliability.

Debugging and validation with scripts

  • Purpose: Quickly debug and validate agent states from the command line.
  • How to use: Add Fleet Management API curl commands to Bash or Python scripts to perform rapid troubleshooting and state validation.
  • Benefit: Provides fast, automated checks without requiring manual UI interaction.

Validate rollouts in CI/CD pipelines

  • Purpose: Automate agent rollout validation as part of CI/CD workflows.
  • How to use: Add post-deployment validation steps in Jenkins or GitHub Actions that call Fleet Management APIs to verify agent states before the pipeline marks deployments as successful.
  • Examples: Jenkins pipeline configuration with a validation stage after deployment that checks agent health and readiness using Fleet Management API calls.
    CODE 
    stage('Check Client Inventory API') {
            when {
                expression { return params.API_CHECK_ENABLED }
            }
            steps {
                script {
                    runClientInventoryApiCheck()
                }
            }
        }
  • Benefit: Improves deployment quality and reduces the need for manual rollout validation.

Automate incident response with Fleet Management APIs

  • Purpose: Integrate Fleet Management APIs into automated incident response workflows and runbooks.
  • How to use: Automate tasks such as listing unhealthy agents or retrieving live configurations (for example, OpenTelemetry agents) through Fleet Management API calls.
  • Examples: Integrate with a chat-based workflow (for example, a Slack bot) to return real-time agent health and configuration details during an incident.
  • Benefit: Speeds incident response with automated, real-time data and reduces manual lookups.