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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed deployments
- Optimizing performance for GNS3 servers and GNS3 VMs
- Managing multiple projects and collaborative workflows
Network Automation with Python and Ansible
- Fundamentals of automation in network engineering
- Developing and deploying automation scripts within GNS3
- Automating router and switch configuration using Ansible playbooks
- Testing network state and compliance through automated checks
Docker Integration in GNS3
- Installation and configuration of Docker containers inside GNS3
- Utilizing prebuilt Docker appliances, such as web servers, DNS, and Linux services
- Creating custom Docker containers for specific network testing needs
- Simulating microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Designing hybrid environments by combining GNS3 with public clouds
- Connecting GNS3 to AWS, Azure, or GCP via VPN and tunneling solutions
- Deploying cloud-based endpoints and integrating them with simulated networks
- Addressing security and access considerations for hybrid topologies
Multi-Vendor Testing and Simulation
- Running and managing virtual machines from multiple vendors (e.g., Cisco, Juniper, Palo Alto)
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances in conjunction
- Traffic generation and application emulation for interoperability testing
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines for version control and testing
- Automating the deployment and rollback of topologies
- Controlling GNS3 from external scripts using REST APIs
Use Cases and Best Practices
- Designing labs for pre-deployment validation
- Documenting network behavior and configurations
- Developing reusable lab templates and optimizing team workflows
Summary and Next Steps
Requirements
- Demonstrated proficiency in creating GNS3 topologies and configuring network devices
- Functional knowledge of Python or Ansible
- Basic understanding of containerization and cloud computing fundamentals
Target Audience
- Senior network engineers and DevNet professionals
- Engineers tasked with integrating GNS3 with automation frameworks such as Ansible and Python
- Professionals exploring the use of Dockerized services within virtual labs
- Advanced users focused on hybrid cloud laboratories or simulating multi-vendor environments
Testimonials (1)
communication, knowledge from experience, solve problems,
