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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed deployments
- Performance optimization strategies for GNS3 servers and 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 state and compliance through automated checks
Docker Integration in GNS3
- Installation and configuration of Docker containers in GNS3
- Leveraging prebuilt Docker appliances (e.g., web servers, DNS, Linux services)
- Developing custom Docker containers for specific network testing needs
- Simulating microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Architecting hybrid environments using GNS3 and public cloud services
- Connecting GNS3 to AWS, Azure, or GCP via VPN and tunneling technologies
- Deploying cloud-based endpoints and integrating them with simulated networks
- Security and access management considerations for hybrid topologies
Multi-Vendor Testing and Simulation
- Running and managing multi-vendor VMs (e.g., Cisco, Juniper, Palo Alto)
- Combining QEMU, IOU/IOL, and VirtualBox appliances for comprehensive testing
- Traffic generation and application emulation for interoperability assessment
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines for version control and automated testing
- Automating topology deployment and rollback processes
- Utilizing REST APIs to control GNS3 from external scripts
Use Cases and Best Practices
- Designing labs for pre-deployment validation
- Documenting network behavior and configuration details
- Creating reusable lab templates and efficient team workflows
Summary and Next Steps
Requirements
- Strong proficiency in creating GNS3 topologies and configuring devices
- Practical working knowledge of Python or Ansible
- Understanding of containerization concepts and cloud computing fundamentals
Target Audience
- Senior network engineers and DevNet specialists
- Engineers integrating GNS3 with automation frameworks such as Ansible and Python
- Professionals exploring Dockerized services within virtual laboratory settings
- Advanced users developing hybrid cloud labs or simulating multi-vendor ecosystems
Testimonials (1)
communication, knowledge from experience, solve problems,
