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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture tailored for distributed deployments.
- Performance optimization strategies for GNS3 servers and GNS3 VMs.
- Techniques for managing multiple projects and fostering collaborative workflows.
Network Automation with Python and Ansible
- Foundational concepts of automation in network engineering.
- Development and deployment of automation scripts within GNS3.
- Automating router and switch configuration processes using Ansible playbooks.
- Verifying network state and ensuring compliance through automated checks.
Docker Integration in GNS3
- Installation and configuration of Docker containers within the GNS3 ecosystem.
- Utilizing prebuilt Docker appliances, such as web servers, DNS, and Linux services.
- Developing custom Docker containers specifically for network testing scenarios.
- Simulating microservices and service chaining across GNS3 topologies.
Cloud and Hybrid Lab Integration
- Designing hybrid environments that leverage both GNS3 and public cloud resources.
- Establishing connections between GNS3 and AWS, Azure, or GCP using VPN and tunneling technologies.
- Deploying cloud-based endpoints and integrating them with simulated network infrastructure.
- Evaluating security and access control considerations for hybrid topologies.
Multi-Vendor Testing and Simulation
- Operational management of multiple vendor VMs, including Cisco, Juniper, and Palo Alto.
- Concurrent use of QEMU, IOU/IOL, and VirtualBox appliances within the same environment.
- Traffic generation and application emulation techniques for robust interoperability testing.
CI/CD and Advanced Lab Automation
- Integration of GNS3 with Git and CI pipelines to enhance version control and testing capabilities.
- Automation of topology deployment and rollback procedures.
- Controlling GNS3 instances via REST APIs from external scripts.
Use Cases and Best Practices
- Lab design strategies for rigorous pre-deployment validation.
- Effective documentation of network behavior and configuration states.
- Creation of reusable lab templates and standardized team workflows.
Summary and Next Steps
Requirements
- Demonstrated proficiency in creating GNS3 topologies and configuring network devices.
- Practical working knowledge of Python or Ansible.
- Sound understanding of containerization concepts and cloud fundamentals.
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 laboratories or simulating complex multi-vendor environments.
Testimonials (1)
communication, knowledge from experience, solve problems,
