Kontakt aufnehmen

Schulungsübersicht

Advanced n8n Nodes for DevOps Automation

  • Webhook node: authentication methods, response modes, and header processing
  • HTTP Request node: REST API calls, pagination handling, error responses, and retry logic
  • SSH node: key-based authentication, remote command execution, and file transfer
  • Execute Command node: running shell scripts, kubectl, and Terraform CLI on the n8n host
  • Code node: JavaScript and Python for data transformation between pipeline stages
  • Git node: cloning repositories, committing changes, and pushing from within a workflow
  • Lab: build a webhook receiver that enriches incoming payloads and dispatches conditional responses

CI/CD Platform Integration with n8n

  • GitHub node: dispatch workflows, poll job status, create releases, and manage issues
  • GitLab node: trigger pipelines, monitor stage progress, and manage merge requests
  • Jenkins node: parameterized builds, job status queries, and configuration management
  • CircleCI and Bitbucket Pipeline nodes: trigger pipelines and retrieve build results
  • Pattern: multi-platform CI/CD hub with fan-out from a single webhook trigger
  • Pattern: build-status aggregation with conditional promotion gates
  • Lab: create a workflow that triggers builds on two CI platforms and waits for both to pass

Workflow Composition and Error Handling

  • Sub-workflow node: breaking monolithic workflows into modular, reusable components
  • Error Trigger node: centralized error handling for multi-step CI/CD automations
  • Switch and Merge nodes: conditional branching and parallel execution paths
  • Schedule Trigger: cron-based pipeline orchestration and periodic health checks
  • Loop Over Items node: batch processing across multiple repositories or environments
  • Lab: design a modular pipeline with sub-workflows and centralized error routing

Building Continuous Deployment Pipelines

  • Environment promotion: dev to staging to production with manual approval gates
  • Infrastructure as Code integration: triggering Terraform and Terragrunt runs from n8n
  • Container deployment: orchestrating Docker image builds, registry pushes, and service restarts
  • Notification integration: Slack, Microsoft Teams, and email alerts for pipeline events
  • Artifact tracking: capturing and propagating build metadata across pipeline stages
  • Lab: build an end-to-end deployment pipeline with approval gates and multi-channel notifications

n8n Configuration for DevOps Environments

  • Docker deployment with PostgreSQL backend and Redis for queue mode execution
  • Environment variables and configuration methods for production-grade setups
  • Credential management: API keys, SSH keys, OAuth tokens, and credential overwrites
  • User management: role-based access control and team-level permissions
  • Security hardening: SSL setup, SSO configuration, and API access control
  • Lab: deploy and configure a production-ready n8n instance using Docker Compose

Monitoring, Logging, and Workflow Observability

  • n8n execution data: viewing, filtering, and exporting workflow run history
  • Structured logging configuration and log level management for debugging
  • Prometheus-compatible metrics and OpenTelemetry tracing integration
  • Building workflow health dashboards with webhook-triggered status checks
  • Automated alerting on workflow failures and execution time anomalies
  • Lab: set up monitoring and failure alerting for a multi-step CI/CD workflow

Real-World DevOps Automation Scenarios

  • Incident response automation: alert enrichment, on-call notification, and runbook triggering
  • Kubernetes pod health monitoring with automated restart and escalation workflows
  • Automated rollback: detecting deployment failures and reverting to last known good state
  • Configuration drift detection: comparing deployed state against desired configuration
  • Scheduled infrastructure maintenance: cleanup tasks, snapshot creation, and resource reaping
  • Lab: build a complete incident response workflow with enrichment, notification, and automated remediation

Voraussetzungen

  • Basic understanding of DevOps principles and the software delivery lifecycle
  • Experience with Git and at least one CI/CD platform such as Jenkins, GitHub Actions, or GitLab CI
  • Familiarity with the Linux command line and Docker containers
  • No prior n8n experience required - all nodes and workflows are taught hands-on from first principles

Audience

  • DevOps engineers and platform engineers who want to automate CI/CD pipelines with visual, version-controlled workflows
  • Site Reliability Engineers looking to build incident response and monitoring automations
  • Infrastructure engineers responsible for deployment orchestration across multiple environments
  • Teams of up to 13 participants seeking a compact, practical training with immediate on-the-job applicability
 14 Stunden

Teilnehmerzahl


Preis je Teilnehmer (exkl. USt)

Erfahrungsberichte (1)

Kommende Kurse

Verwandte Kategorien