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 Duration 21 hours

Course Outline

Advanced GNS3 Architecture

  • Overview of GNS3 architecture for distributed deployments
  • Optimizing the performance of the GNS3 server and GNS3 VM
  • Managing multiple projects and facilitating collaborative workflows

Network Automation with Python and Ansible

  • Fundamentals of automation in network engineering
  • Development and deployment of automation scripts within GNS3
  • Automating router and switch configurations using Ansible playbooks
  • Testing network state and compliance through automated checks

Docker Integration in GNS3

  • Installation and configuration of Docker containers inside GNS3
  • Utilizing 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 by combining GNS3 with public cloud services
  • Establishing connections from GNS3 to AWS, Azure, or GCP via VPN and tunneling
  • Deploying cloud-based endpoints and integrating them with simulated networks
  • Security and access management considerations for hybrid topologies

Multi-Vendor Testing and Simulation

  • Running and managing VMs from multiple vendors (e.g., Cisco, Juniper, Palo Alto)
  • Combining QEMU, IOU/IOL, and VirtualBox appliances in a single environment
  • 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 topologies
  • Controlling GNS3 from external scripts using REST APIs

Use Cases and Best Practices

  • Lab design strategies for pre-deployment validation
  • Documentation of network behavior and configurations
  • Creating reusable lab templates and optimizing team workflows

Summary and Next Steps

Requirements

  • Proficiency in creating GNS3 topologies and configuring devices
  • Practical knowledge of either Python or Ansible
  • Understanding of containerization and fundamental cloud concepts

Target Audience

  • Senior network engineers and DevNet specialists
  • Engineers focused on integrating GNS3 with automation frameworks (such as Ansible and Python)
  • Professionals exploring Dockerized services within virtual lab settings
  • Advanced users developing hybrid cloud labs or simulating multi-vendor environments

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