Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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: using 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: dispatching workflows, polling job status, creating releases, and managing issues.
- GitLab node: triggering pipelines, monitoring stage progress, and managing merge requests.
- Jenkins node: handling parameterized builds, job status queries, and configuration management.
- CircleCI and Bitbucket Pipeline nodes: triggering pipelines and retrieving 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: managing conditional branching and parallel execution paths.
- Schedule Trigger: implementing 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: moving from 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: configuring 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: implementing 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 the 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 proficiency in 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 seeking to automate CI/CD pipelines using 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.
