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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed deployments
- Performance optimization for GNS3 server and GNS3 VM
- Management of multiple projects and collaborative workflows
Network Automation with Python and Ansible
- Introduction to automation principles in network engineering
- Development and deployment of automation scripts within GNS3
- Automation of router and switch configurations using Ansible playbooks
- Verification of network state and compliance via automated checks
Docker Integration in GNS3
- Installation and configuration of Docker containers inside GNS3
- Leveraging prebuilt Docker appliances for web servers, DNS, and Linux services
- Construction of custom Docker containers for specific network testing needs
- Simulation of microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Design of hybrid environments combining GNS3 and public clouds
- Establishing connections from GNS3 to AWS, Azure, or GCP via VPN and tunneling
- Deployment of cloud-based endpoints and their integration with simulated networks
- Security protocols and access controls for hybrid topologies
Multi-Vendor Testing and Simulation
- Execution and management of multi-vendor VMs including Cisco, Juniper, and Palo Alto
- Utilization of QEMU, IOU/IOL, and VirtualBox appliances in conjunction
- 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 procedures
- Control of GNS3 from external scripts using REST APIs
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
- Expertise in GNS3 topology design and device setup
- Practical experience with Python or Ansible
- Understanding of containerization principles and cloud basics
Target Audience
- Senior network engineers and DevNet specialists
- Professionals integrating GNS3 with automation frameworks such as Ansible and Python
- Individuals exploring Dockerized services within virtual laboratory settings
- Advanced users focused on hybrid cloud labs or simulating multi-vendor environments
Testimonials (1)
communication, knowledge from experience, solve problems,
