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
- Optimizing performance for GNS3 servers and GNS3 VMs
- Managing multiple projects and 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
- Verifying network state and compliance through automated checks
Docker Integration in GNS3
- Setting up and configuring Docker containers inside GNS3
- Leveraging prebuilt Docker appliances for web servers, DNS, and Linux services
- Creating custom Docker containers for network testing purposes
- 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
- Managing and running 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 testing
CI/CD and Advanced Lab Automation
- Connecting GNS3 to Git and CI pipelines for 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 pre-deployment validation
- Documenting network behavior and configuration details
- Creating reusable lab templates and efficient team workflows
Summary and Next Steps
Requirements
- Strong proficiency in creating GNS3 topologies and configuring network devices
- Practical knowledge of Python or Ansible
- Basic understanding of containerization concepts and cloud computing fundamentals
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 network ecosystems
Testimonials (1)
communication, knowledge from experience, solve problems,
