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 Duration 21 hours

Course Outline

Advanced GNS3 Architecture

  • Overview of GNS3 architecture for distributed deployments.
  • Performance optimization techniques for GNS3 servers and GNS3 VMs.
  • Managing multiple projects and establishing collaborative workflows.

Network Automation with Python and Ansible

  • Foundations of automation in network engineering.
  • Developing and deploying automation scripts within GNS3.
  • Using Ansible playbooks to automate router and switch configurations.
  • Verifying network state and compliance through automated checks.

Docker Integration in GNS3

  • Installation and configuration of Docker containers inside GNS3.
  • Leveraging pre-built Docker appliances, such as web servers, DNS, and Linux services.
  • Creating custom Docker containers for specialized network testing.
  • Simulating microservices and service chaining within GNS3 topologies.

Cloud and Hybrid Lab Integration

  • Architecting hybrid environments by combining GNS3 with public clouds.
  • Establishing connections between GNS3 and AWS, Azure, or GCP via VPN and tunneling.
  • Integrating cloud-based endpoints with simulated networks.
  • Addressing security and access management for hybrid topologies.

Multi-Vendor Testing and Simulation

  • Running and managing VMs from various vendors (e.g., Cisco, Juniper, Palo Alto).
  • Utilizing QEMU, IOU/IOL, and VirtualBox appliances in tandem.
  • Employing traffic generation and application emulation for interoperability tests.

CI/CD and Advanced Lab Automation

  • Connecting GNS3 with Git and CI pipelines for version control and automated testing.
  • Automating the deployment and rollback of network topologies.
  • Utilizing REST APIs to control GNS3 from external scripts.

Use Cases and Best Practices

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

Summary and Next Steps

Requirements

  • Competence in creating GNS3 topologies and configuring network devices.
  • Functional understanding of Python or Ansible.
  • Basic familiarity with containerization concepts and cloud computing fundamentals.

Target Audience

  • Senior network engineers and DevNet specialists.
  • Professionals focused on integrating GNS3 with automation frameworks such as Ansible and Python.
  • Specialists exploring Dockerized services within virtual laboratory settings.
  • Advanced users engaged in hybrid cloud laboratories or the simulation of multi-vendor environments.

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