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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed deployments.
- Performance optimization for GNS3 servers and GNS3 VMs.
- Managing multiple projects and facilitating collaborative workflows.
Network Automation with Python and Ansible
- Introduction to automation practices 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 within GNS3.
- Utilizing prebuilt Docker appliances (e.g., web servers, DNS, Linux services).
- Developing custom Docker containers for network testing purposes.
- Simulating microservices and service chaining in GNS3 topologies.
Cloud and Hybrid Lab Integration
- Designing hybrid environments that combine GNS3 with public cloud services.
- Connecting GNS3 to AWS, Azure, or GCP via VPN and tunneling techniques.
- 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).
- Combining QEMU, IOU/IOL, and VirtualBox appliances for comprehensive testing.
- Generating traffic and emulating applications for interoperability assessments.
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines for version control and automated testing.
- Automating the deployment and rollback of network topologies.
- Controlling GNS3 via REST APIs from external scripts.
Use Cases and Best Practices
- Designing labs for pre-deployment validation.
- Documenting network behavior and configurations effectively.
- Creating reusable lab templates and streamlining team workflows.
Summary and Next Steps
Requirements
- Proficiency in creating GNS3 topologies and configuring devices.
- Working knowledge of Python or Ansible.
- Familiarity with containerization and cloud computing fundamentals.
Target Audience
- Senior network engineers and DevNet professionals.
- Engineers integrating GNS3 with automation frameworks (e.g., Ansible, Python).
- Professionals experimenting with Dockerized services in virtual labs.
- Advanced users focusing on hybrid cloud labs or simulating multi-vendor environments.
Testimonials (1)
communication, knowledge from experience, solve problems,
