Get in Touch
 Duration 21 hours

Course Outline

Advanced GNS3 Architecture

  • Overview of GNS3 architecture tailored for distributed deployments
  • Optimizing performance for the GNS3 server and GNS3 VM
  • Handling multiple projects and establishing collaborative workflows

Network Automation using Python and Ansible

  • Fundamentals of automation in network engineering
  • Development and deployment of automation scripts within GNS3
  • Streamlining router and switch configuration via Ansible playbooks
  • Verifying network state and compliance through automated checks

Docker Integration within GNS3

  • Setup and configuration of Docker containers inside GNS3
  • Utilizing pre-built Docker appliances (such as web servers, DNS, and Linux services)
  • Creating custom Docker containers specifically for network testing
  • Emulating microservices and service chaining in GNS3 topologies

Cloud and Hybrid Lab Integration

  • Architecting hybrid environments combining GNS3 with public cloud services
  • Establishing connections from GNS3 to AWS, Azure, or GCP using VPN and tunneling
  • Implementing cloud-based endpoints and merging them with simulated networks
  • Addressing security and access control for hybrid topologies

Multi-Vendor Testing and Simulation

  • Managing and running VMs from various vendors (e.g., Cisco, Juniper, Palo Alto)
  • Combining QEMU, IOU/IOL, and VirtualBox appliances for comprehensive testing
  • Generating traffic and emulating applications for interoperability validation

CI/CD and Advanced Lab Automation

  • Linking GNS3 with Git and CI pipelines to manage version control and testing
  • Automating the deployment and rollback of topologies
  • Leveraging REST APIs to manage GNS3 via external scripts

Use Cases and Best Practices

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

Summary and Next Steps

Requirements

  • Strong skills in creating GNS3 topologies and configuring devices
  • Practical understanding of Python or Ansible
  • Basic knowledge of containerization concepts and cloud fundamentals

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 involved in hybrid cloud labs or the simulation of multi-vendor environments

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories