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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed deployment scenarios.
- Performance tuning for GNS3 servers and GNS3 VMs.
- Managing multiple projects and facilitating collaborative workflows.
Network Automation with Python and Ansible
- Foundations of automation in network engineering.
- Development and deployment of automation scripts within GNS3.
- Automating router and switch configurations using Ansible playbooks.
- Validating network states and compliance through automated checks.
Docker Integration in GNS3
- Installation and configuration of Docker containers inside GNS3.
- Leveraging pre-built Docker appliances, such as web servers, DNS, and Linux services.
- Creating custom Docker containers tailored for network testing.
- Simulating microservices and service chaining across GNS3 topologies.
Cloud and Hybrid Lab Integration
- Architecting hybrid environments that combine GNS3 with public cloud services.
- Establishing connections between GNS3 and AWS, Azure, or GCP using VPN and tunneling techniques.
- Integrating cloud-based endpoints with simulated network environments.
- Addressing security and access management for hybrid topologies.
Multi-Vendor Testing and Simulation
- Operationalizing and managing VMs from various vendors, including Cisco, Juniper, and Palo Alto.
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances in conjunction.
- Generating traffic and emulating applications for interoperability validation.
CI/CD and Advanced Lab Automation
- Connecting GNS3 with Git and CI pipelines to enable version control and automated testing.
- Automating the deployment and rollback of network topologies.
- Utilizing REST APIs to control GNS3 operations from external scripts.
Use Cases and Best Practices
- Designing labs for rigorous pre-deployment validation.
- Documenting network behaviors and configurations effectively.
- Creating reusable lab templates and optimizing team workflows.
Summary and Next Steps
Requirements
- Advanced proficiency in building GNS3 topologies and configuring devices.
- Practical knowledge of Python or Ansible.
- Understanding of containerization concepts and fundamental cloud principles.
Target Audience
- Senior network engineers and DevNet specialists.
- Engineers focused on integrating GNS3 with automation frameworks such as Ansible and Python.
- Professionals exploring Dockerized services within virtual lab environments.
- Advanced users developing hybrid cloud labs or simulating multi-vendor ecosystems.
Testimonials (1)
communication, knowledge from experience, solve problems,
