Course Outline

Advanced GNS3 Architecture

  • GNS3 architecture overview for distributed deployments
  • GNS3 server and GNS3 VM performance optimization
  • Managing multiple projects and collaborative workflows

Network Automation with Python and Ansible

  • Introduction to automation in network engineering
  • Creating and deploying automation scripts in GNS3
  • Automating router and switch configuration with Ansible playbooks
  • Testing network state and compliance with automated checks

Docker Integration in GNS3

  • Installing and configuring Docker containers within GNS3
  • Using prebuilt Docker appliances (e.g., web servers, DNS, Linux services)
  • Building custom Docker containers for network testing
  • Simulating microservices and service chaining in GNS3 topologies

Cloud and Hybrid Lab Integration

  • Designing hybrid environments using GNS3 and public clouds
  • Connecting GNS3 to AWS, Azure, or GCP via VPN and tunneling
  • Deploying cloud-based endpoints and integrating with simulated networks
  • Security and access considerations for hybrid topologies

Multi-Vendor Testing and Simulation

  • Running and managing multiple vendor VMs (e.g., Cisco, Juniper, Palo Alto)
  • Using QEMU, IOU/IOL, and VirtualBox appliances together
  • Traffic generation and application emulation for interoperability testing

CI/CD and Advanced Lab Automation

  • Integrating GNS3 with Git and CI pipelines for version control and testing
  • Automating topology deployment and rollback
  • Using REST APIs to control GNS3 from external scripts

Use Cases and Best Practices

  • Lab design for pre-deployment validation
  • Documenting network behavior and configurations
  • Reusable lab templates and team workflows

Summary and Next Steps

Requirements

  • Proficiency in GNS3 topology creation and device configuration
  • Working knowledge of Python or Ansible
  • Familiarity with containerization and cloud fundamentals

Audience

  • Senior network engineers and DevNet professionals
  • Engineers integrating GNS3 with automation frameworks (e.g., Ansible, Python)
  • Professionals experimenting with Dockerized services in virtual labs
  • Advanced users working on hybrid cloud labs or simulating multi-vendor environments
 21 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories