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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed setups
- Optimizing performance for GNS3 servers and GNS3 VMs
- Oversight of multiple projects and collaborative workflows
Network Automation with Python and Ansible
- Fundamentals of automation in network engineering
- Development and deployment of automation scripts within GNS3
- Streamlining router and switch configuration using Ansible playbooks
- Validating network state and compliance through automated checks
Docker Integration in GNS3
- Setup and configuration of Docker containers inside GNS3
- Utilization of pre-built Docker appliances (including web servers, DNS, and Linux services)
- Construction of custom Docker containers for network testing
- Emulation of microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Architecting hybrid environments combining GNS3 with public clouds
- Establishing connectivity from GNS3 to AWS, Azure, or GCP via VPN and tunneling
- Implementation of cloud-based endpoints and their integration with simulated networks
- Security and access management for hybrid topologies
Multi-Vendor Testing and Simulation
- Execution and management of multi-vendor VMs (such as Cisco, Juniper, Palo Alto)
- Collaborative use of QEMU, IOU/IOL, and VirtualBox appliances
- Traffic generation and application emulation for interoperability validation
CI/CD and Advanced Lab Automation
- Integration of GNS3 with Git and CI pipelines for version control and testing
- Automation of topology deployment and rollback processes
- Utilization of REST APIs to manage GNS3 via external scripts
Use Cases and Best Practices
- Lab design strategies for pre-deployment validation
- Documentation of network behavior and configurations
- Creation of reusable lab templates and team workflows
Summary and Next Steps
Requirements
- Competence in building GNS3 topologies and configuring devices
- Practical understanding of Python or Ansible
- Basic knowledge of containerization and cloud computing principles
Target Audience
- Senior network engineers and DevNet specialists
- Professionals linking GNS3 with automation stacks (such as Ansible and Python)
- Experts exploring Dockerized services in virtualized labs
- Advanced users developing hybrid cloud labs or simulating multi-vendor ecosystems
Testimonials (1)
communication, knowledge from experience, solve problems,
