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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 facilitating collaborative workflows
Network Automation with Python and Ansible
- Introduction to automation principles in network engineering
- Development and deployment of automation scripts within GNS3
- Automating router and switch configurations using Ansible playbooks
- Verifying network state and compliance through automated checks
Docker Integration in GNS3
- Installation and configuration of Docker containers inside GNS3
- Utilizing prebuilt Docker appliances (e.g., web servers, DNS, Linux services)
- Creating custom Docker containers for network testing purposes
- Simulating microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Designing hybrid environments that combine GNS3 with public cloud services
- Connecting GNS3 to AWS, Azure, or GCP using VPN and tunneling technologies
- 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 VMs from multiple vendors (e.g., Cisco, Juniper, Palo Alto)
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances in conjunction
- Performing 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 effectively
- Creating reusable lab templates and establishing team workflows
Summary and Next Steps
Requirements
- Expertise in creating GNS3 topologies and configuring devices
- Practical knowledge of Python or Ansible
- Understanding of containerization concepts and cloud fundamentals
Audience
- Senior network engineers and DevNet professionals
- Engineers integrating GNS3 with automation frameworks (such as Ansible and Python)
- Professionals exploring Dockerized services within virtual lab settings
- Advanced users engaged in hybrid cloud labs or simulating multi-vendor environments
Testimonials (1)
communication, knowledge from experience, solve problems,
