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Course Outline

Advanced GNS3 Architecture

  • Overview of GNS3 architecture 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
  • Validating network state and compliance through automated checks

Docker Integration in GNS3

  • Installation and configuration of Docker containers within GNS3
  • Utilizing prebuilt Docker appliances (such as web servers, DNS, and Linux services)
  • Creating custom Docker containers for specific network testing needs
  • Simulating microservices and service chaining within GNS3 topologies

Cloud and Hybrid Lab Integration

  • Designing hybrid environments by combining GNS3 with public cloud resources
  • Establishing connections from GNS3 to AWS, Azure, or GCP using VPN and tunneling
  • Deploying cloud-based endpoints and integrating them with simulated networks
  • Addressing security and access protocols for hybrid topologies

Multi-Vendor Testing and Simulation

  • Operating and managing VMs from various vendors (including Cisco, Juniper, Palo Alto)
  • Combining QEMU, IOU/IOL, and VirtualBox appliances for comprehensive testing
  • Employing traffic generation and application emulation for interoperability assessments

CI/CD and Advanced Lab Automation

  • Connecting GNS3 with Git and CI pipelines for effective version control and testing
  • Automating the deployment and rollback of network topologies
  • Leveraging REST APIs to control GNS3 via external scripts

Use Cases and Best Practices

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

Summary and Next Steps

Requirements

  • Competent in building GNS3 topologies and configuring network devices
  • Functional understanding of Python or Ansible
  • Basic grasp of containerization principles and cloud infrastructure concepts

Target Audience

  • Senior network engineers and DevNet specialists
  • Professionals incorporating GNS3 into automation stacks using tools like Ansible and Python
  • Experts exploring Dockerized services within virtual laboratory settings
  • Advanced practitioners developing hybrid cloud labs or simulating complex multi-vendor scenarios
 21 Hours

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