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Course Outline

Advanced GNS3 Architecture

  • Overview of GNS3 architecture for distributed deployments.
  • Performance optimization for GNS3 server and GNS3 VM.
  • Managing multiple projects and collaborative workflows.

Network Automation with Python and Ansible

  • Introduction to automation in network engineering.
  • Creating 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

  • Installing and configuring Docker containers within GNS3.
  • Utilizing pre-built Docker appliances (e.g., web servers, DNS, Linux services).
  • Creating custom Docker containers for network testing.
  • Emulating microservices and service chaining in GNS3 topologies.

Cloud and Hybrid Lab Integration

  • Designing hybrid environments combining GNS3 and public clouds.
  • Connecting GNS3 to AWS, Azure, or GCP via VPN and tunneling.
  • Deploying cloud-based endpoints and integrating them with simulated networks.
  • Addressing security and access 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.
  • Generating traffic and emulating applications 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 processes.
  • Controlling GNS3 via REST APIs from external scripts.

Use Cases and Best Practices

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

Summary and Next Steps

Requirements

  • Proficiency in creating GNS3 topologies and configuring devices.
  • Working knowledge of Python or Ansible.
  • Familiarity with the fundamentals of containerization and cloud computing.

Audience

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

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