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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture tailored 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 practices 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
- Installing and configuring Docker containers within the GNS3 environment
- Utilizing 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
- 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)
- Combining QEMU, IOU/IOL, and VirtualBox appliances for comprehensive testing
- Generating traffic and emulating applications for interoperability validation
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines for effective version control and 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 thorough pre-deployment validation
- Documenting network behavior and configuration details
- Creating reusable lab templates and establishing team workflows
Summary and Next Steps
Requirements
- Demonstrated proficiency in creating GNS3 topologies and configuring devices.
- Practical knowledge of scripting with Python or automating with Ansible.
- Basic understanding of containerization principles and cloud computing fundamentals.
Target Audience
- Senior network engineers and DevNet specialists.
- Engineers looking to combine GNS3 with automation frameworks such as Ansible and Python.
- Professionals interested in deploying Dockerized services within virtual lab environments.
- Advanced users working on hybrid cloud labs or simulating complex multi-vendor environments.
Testimonials (1)
communication, knowledge from experience, solve problems,
