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Course Outline
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.
Requirements
- 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 Hours
Testimonials (1)
I liked the practical, hands‑on part of the training the most.
