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
- An in-depth look at GNS3 architecture for distributed deployment scenarios
- Optimizing the performance of GNS3 servers and GNS3 VMs
- Oversight of multiple projects and management of collaborative workflows
Network Automation with Python and Ansible
- Foundations of automation in modern network engineering
- Development and deployment of automation scripts specifically for GNS3
- Streamlining router and switch configuration processes using Ansible playbooks
- Verifying network state and compliance through automated validation checks
Docker Integration in GNS3
- Installation and configuration of Docker containers within the GNS3 environment
- Leveraging pre-built Docker appliances, such as web servers, DNS, and Linux services
- Developing custom Docker containers tailored for specific network testing needs
- Simulating microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Architecting hybrid environments that combine GNS3 with public cloud resources
- Establishing connections between GNS3 and AWS, Azure, or GCP using VPN and tunneling technologies
- Integrating cloud-based endpoints with simulated network infrastructures
- Addressing security protocols and access control considerations for hybrid topologies
Multi-Vendor Testing and Simulation
- Execution and management of VMs from multiple vendors, including Cisco, Juniper, and Palo Alto
- Collaborative use of QEMU, IOU/IOL, and VirtualBox appliances
- Generating traffic and emulating applications to test interoperability
CI/CD and Advanced Lab Automation
- Aligning GNS3 with Git and CI pipelines to enhance version control and testing processes
- Automating the deployment and rollback of network topologies
- Utilizing REST APIs to manage GNS3 instances from external scripting environments
Use Cases and Best Practices
- Designing labs specifically for pre-deployment validation purposes
- Effectively documenting network behavior and configuration changes
- Creating reusable lab templates and efficient team workflows
Summary and Next Steps
Requirements
- Strong competency in creating GNS3 topologies and configuring network devices
- A functional understanding of either Python or Ansible
- Basic familiarity with containerization concepts and cloud computing fundamentals
Intended Audience
- Senior network engineers and DevNet specialists
- Professionals integrating GNS3 with automation frameworks such as Ansible and Python
- Experts exploring Dockerized services within virtual laboratory settings
- Advanced users developing hybrid cloud labs or simulating multi-vendor network environments
Testimonials (1)
communication, knowledge from experience, solve problems,
