Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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 collaborative workflows
Network Automation with Python and Ansible
- Foundations of automation in network engineering
- Developing and deploying automation scripts in GNS3
- Automating router and switch configurations using Ansible playbooks
- Verifying network state and compliance through automated checks
Docker Integration in GNS3
- Installing and configuring Docker containers within GNS3
- Leveraging prebuilt Docker appliances (e.g., web servers, DNS, Linux services)
- Creating custom Docker containers for network testing
- Emulating microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Designing hybrid environments utilizing GNS3 and public cloud services
- Connecting GNS3 to AWS, Azure, or GCP via VPN and tunneling
- 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 multiple vendor VMs (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 topology deployment and rollback processes
- Controlling GNS3 from external scripts using REST APIs
Use Cases and Best Practices
- Lab design strategies for pre-deployment validation
- Documenting network behavior and configurations
- Creating reusable lab templates and efficient team workflows
Summary and Next Steps
Requirements
- Demonstrated proficiency in creating GNS3 topologies and configuring network devices
- Practical knowledge of Python or Ansible
- Understanding of containerization and fundamental cloud concepts
Target Audience
- Senior network engineers and DevNet professionals
- Engineers integrating GNS3 with automation frameworks (e.g., Ansible, Python)
- Professionals exploring Dockerized services within virtual labs
- Advanced users developing hybrid cloud labs or simulating multi-vendor environments
Testimonials (1)
communication, knowledge from experience, solve problems,
