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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
- Overseeing multiple projects and facilitating collaborative workflows
Network Automation with Python and Ansible
- Foundations of automation 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 (such as web servers, DNS, and Linux services)
- Crafting custom Docker containers for specific network testing scenarios
- Emulating microservices and service chaining within GNS3 topologies
Cloud and Hybrid Lab Integration
- Architecting hybrid environments that combine GNS3 with public cloud services
- Establishing connections from GNS3 to AWS, Azure, or GCP using VPNs and tunneling
- Integrating cloud-based endpoints with simulated network infrastructure
- Addressing security and access protocols for hybrid topologies
Multi-Vendor Testing and Simulation
- Executing and managing VMs from various vendors (including Cisco, Juniper, Palo Alto)
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances in tandem
- Generating traffic and emulating applications for interoperability validation
CI/CD and Advanced Lab Automation
- Incorporating GNS3 into Git and CI pipelines for robust version control and testing
- Automating the deployment and rollback of network topologies
- Controlling GNS3 instances via REST APIs from external scripts
Use Cases and Best Practices
- Designing labs for pre-deployment validation processes
- Thoroughly documenting network behavior and configuration states
- Creating reusable lab templates and standardized team workflows
Summary and Next Steps
Requirements
- Strong command of creating GNS3 topologies and configuring devices
- Practical experience with either Python or Ansible
- Understanding of core concepts related to containerization and cloud technologies
Target 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 laboratory settings
- Advanced users developing hybrid cloud labs or simulating multi-vendor network environments
Testimonials (1)
communication, knowledge from experience, solve problems,
