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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
- Oversight of multiple projects and collaborative workflows
Network Automation via Python and Ansible
- Foundations of automation in network engineering
- Development and deployment of automation scripts within GNS3
- Streamlining router and switch configuration through Ansible playbooks
- Validating network state and compliance using automated verification checks
Docker Integration within GNS3
- Setup and configuration of Docker containers inside GNS3
- Leveraging pre-built Docker appliances for web servers, DNS, and Linux services
- Development of custom Docker containers specifically for network testing
- Simulation of microservices and service chaining within GNS3 topologies
Cloud and Hybrid Laboratory Integration
- Architecture of hybrid environments combining GNS3 with public cloud services
- Establishing connectivity between GNS3 and AWS, Azure, or GCP using VPN and tunneling
- Deployment of cloud-based endpoints and their integration with simulated networks
- Security protocols and access management for hybrid topologies
Multi-Vendor Testing and Simulation
- Execution and management of multi-vendor VMs including Cisco, Juniper, and Palo Alto
- Concurrent use of QEMU, IOU/IOL, and VirtualBox appliances
- Traffic generation and application emulation for interoperability validation
CI/CD and Advanced Laboratory Automation
- Linking GNS3 with Git and CI pipelines to ensure version control and testing rigor
- Automation of topology deployment and rollback procedures
- Utilization of REST APIs to govern GNS3 via external scripts
Practical Applications and Best Practices
- Designing laboratories for pre-deployment validation
- Documentation of network behavior and configurations
- Creation of reusable laboratory templates and team-oriented workflows
Recap and Future Recommendations
Requirements
- Expertise in creating GNS3 topologies and configuring devices
- Practical understanding of Python or Ansible
- General familiarity with containerization concepts and cloud fundamentals
Target Audience
- Senior network engineers and DevNet specialists
- Engineers responsible for integrating GNS3 with automation frameworks such as Ansible and Python
- Professionals exploring Dockerized services within virtual laboratory environments
- Advanced users engaged in hybrid cloud laboratory projects or simulating multi-vendor ecosystems
Testimonials (1)
communication, knowledge from experience, solve problems,
