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
- Introduction to automation in network engineering
- Development and deployment of automation scripts in 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
- Leveraging prebuilt Docker appliances (e.g., web servers, DNS, Linux services)
- Constructing custom Docker containers for network testing
- Simulating microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Designing hybrid environments combining 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
- Security and access considerations for hybrid topologies
Multi-Vendor Testing and Simulation
- Executing and managing VMs from multiple vendors (e.g., Cisco, Juniper, Palo Alto)
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances simultaneously
- 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 via REST APIs from external scripts
Use Cases and Best Practices
- Lab design strategies for pre-deployment validation
- Documentation of network behavior and configurations
- Creating reusable lab templates and optimizing team workflows
Summary and Next Steps
Requirements
- Proficiency in creating GNS3 topologies and configuring devices.
- Practical knowledge of Python or Ansible.
- Familiarity with containerization concepts and cloud fundamentals.
Audience
- Senior network engineers and DevNet specialists.
- Engineers incorporating GNS3 with automation frameworks (e.g., Ansible, Python).
- Professionals exploring Dockerized services in virtual laboratories.
- Advanced users developing hybrid cloud labs or simulating multi-vendor environments.
Testimonials (1)
communication, knowledge from experience, solve problems,