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 Duration 21 hours

Course Outline

Advanced GNS3 Architecture

  • Overview of GNS3 architecture for distributed deployment scenarios
  • Optimizing performance for both GNS3 servers and GNS3 VMs
  • Managing multiple projects and facilitating collaborative workflows

Network Automation with Python and Ansible

  • Foundations of automation in network engineering
  • Developing and deploying automation scripts within GNS3
  • Automating router and switch configurations using Ansible playbooks
  • Validating network states and compliance through automated checks

Docker Integration in GNS3

  • Installing and configuring Docker containers within the GNS3 ecosystem
  • Leveraging prebuilt Docker appliances, such as web servers, DNS, and Linux services
  • Constructing custom Docker containers to enhance network testing capabilities
  • Simulating microservices and service chaining across GNS3 topologies

Cloud and Hybrid Lab Integration

  • Designing hybrid environments that combine GNS3 with public cloud resources
  • Connecting GNS3 to AWS, Azure, or GCP via VPN and tunneling technologies
  • Deploying cloud-based endpoints and integrating them with simulated network infrastructures
  • Addressing security and access control considerations in hybrid topologies

Multi-Vendor Testing and Simulation

  • Running and managing VMs from multiple vendors, including Cisco, Juniper, and Palo Alto
  • Utilizing QEMU, IOU/IOL, and VirtualBox appliances in conjunction with other components
  • Employing traffic generation and application emulation for interoperability testing

CI/CD and Advanced Lab Automation

  • Integrating GNS3 with Git and CI pipelines to ensure version control and automated testing
  • Automating the deployment and rollback of network topologies
  • Utilizing REST APIs to manage GNS3 operations from external scripts

Use Cases and Best Practices

  • Designing labs specifically for pre-deployment validation
  • Documenting network behaviour and configuration states
  • Creating reusable lab templates and establishing team workflows

Summary and Next Steps

Requirements

  • Proficiency in creating GNS3 topologies and configuring network devices
  • Practical knowledge of Python or Ansible
  • General familiarity with containerization concepts and cloud fundamentals

Target Audience

  • Senior network engineers and DevNet specialists
  • Engineers integrating GNS3 with automation frameworks, including Ansible and Python
  • Professionals exploring the use of Dockerized services within virtual laboratory settings
  • Advanced users developing hybrid cloud labs or simulating complex multi-vendor environments

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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