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 Duration 21 hours

Course Outline

Advanced GNS3 Architecture

  • Overview of GNS3 architecture suited for distributed deployments
  • Optimizing performance for GNS3 servers and GNS3 VMs
  • Managing multiple projects and facilitating collaborative workflows

Network Automation with Python and Ansible

  • Fundamentals of automation in network engineering
  • Developing and deploying automation scripts within GNS3
  • Automating router and switch configurations using Ansible playbooks
  • Verifying network state and compliance through automated checks

Docker Integration in GNS3

  • Installation and configuration of Docker containers within GNS3
  • Leveraging prebuilt Docker appliances (e.g., web servers, DNS, Linux services)
  • Creating custom Docker containers for network testing purposes
  • Simulating microservices and service chaining within GNS3 topologies

Cloud and Hybrid Lab Integration

  • Designing hybrid environments that combine GNS3 with public cloud services
  • Establishing connections between GNS3 and AWS, Azure, or GCP using VPN and tunneling
  • Deploying cloud-based endpoints and integrating them with simulated networks
  • Addressing security and access control considerations in hybrid topologies

Multi-Vendor Testing and Simulation

  • Executing and managing VMs from multiple vendors (e.g., Cisco, Juniper, Palo Alto)
  • Utilizing QEMU, IOU/IOL, and VirtualBox appliances in tandem
  • Performing 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 the deployment and rollback of network topologies
  • Controlling GNS3 via REST APIs from external scripts

Use Cases and Best Practices

  • Designing labs for pre-deployment validation
  • Documenting network behavior and configurations effectively
  • Developing reusable lab templates and optimizing team workflows

Summary and Next Steps

Requirements

  • Competence in creating GNS3 topologies and configuring devices.
  • Practical knowledge of Python or Ansible.
  • Understanding of containerization concepts and cloud fundamentals.

Audience

  • Senior network engineers and DevNet specialists.
  • Engineers integrating GNS3 with automation frameworks (e.g., Ansible, Python).
  • Professionals exploring Dockerized services within virtual laboratories.
  • Advanced users developing hybrid cloud labs or simulating multi-vendor environments.

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