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Course Outline

Advanced GNS3 Architecture

  • An overview of GNS3 architecture for distributed deployment scenarios
  • Strategies for optimizing GNS3 server and GNS3 VM performance
  • Managing multiple projects and facilitating collaborative workflows

Network Automation with Python and Ansible

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

Docker Integration in GNS3

  • Setup and configuration of Docker containers within the GNS3 environment
  • Utilizing prebuilt Docker appliances, including web servers, DNS, and Linux services
  • Creating custom Docker containers for specialized network testing
  • Simulating microservices and service chaining across GNS3 topologies

Cloud and Hybrid Lab Integration

  • Designing hybrid environments by combining GNS3 with public cloud services
  • Establishing connections between GNS3 and 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 virtual machines from multiple vendors, such as Cisco and Juniper Palo Alto
  • Combining QEMU, IOU/IOL, and VirtualBox appliances for comprehensive testing
  • Employing traffic generation and application emulation for interoperability verification

CI/CD and Advanced Lab Automation

  • Linking GNS3 with Git and CI pipelines for effective version control and testing
  • Automating the deployment and rollback of topologies
  • Controlling GNS3 via REST APIs from external scripts

Use Cases and Best Practices

  • Designing labs for rigorous pre-deployment validation
  • Documenting network behavior and configuration details
  • Creating reusable lab templates to enhance team workflows

Summary and Next Steps

Requirements

  • Advanced proficiency in creating GNS3 topologies and configuring devices
  • Functional expertise in Python or Ansible
  • Foundational understanding of containerization and cloud computing principles

Target Audience

  • Senior network engineers and DevNet specialists
  • Professionals implementing GNS3 integration with automation frameworks such as Ansible and Python
  • Experts exploring Dockerized services within virtual lab settings
  • Advanced users developing hybrid cloud labs or simulating multi-vendor infrastructures
 21 Hours

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