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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Exploring GNS3 architecture for distributed deployment scenarios.
- Optimizing performance for the GNS3 server and GNS3 VM.
- Oversight of multiple projects and management of collaborative workflows.
Network Automation via Python and Ansible
- Foundations of automation within network engineering.
- Development and deployment of automation scripts specifically for GNS3.
- Automation of router and switch configurations using Ansible playbooks.
- Validating network state and ensuring compliance through automated checks.
Docker Integration in GNS3
- Installation and configuration of Docker containers directly within GNS3.
- Utilizing pre-built Docker appliances, such as web servers, DNS resolvers, and Linux services.
- Creation of custom Docker containers tailored for network testing needs.
- Simulation of microservices and service chaining across GNS3 topologies.
Cloud and Hybrid Lab Integration
- Architecture design for hybrid environments combining GNS3 with public cloud services.
- Establishing connections between GNS3 and AWS, Azure, or GCP using VPNs and tunneling techniques.
- Deployment of cloud-based endpoints and their integration with simulated local networks.
- Addressing security protocols and access control in hybrid topology designs.
Multi-Vendor Testing and Simulation
- Operation and management of VMs from multiple vendors, including Cisco, Juniper, and Palo Alto.
- Combined utilization of QEMU, IOU/IOL, and VirtualBox appliances.
- Implementation of traffic generation and application emulation for interoperability testing.
CI/CD and Advanced Lab Automation
- Integration of GNS3 with Git repositories and CI pipelines for robust version control and testing.
- Automation of topology deployment processes and rollback mechanisms.
- Utilization of REST APIs to manage GNS3 instances via external scripts.
Use Cases and Best Practices
- Strategic lab design for pre-deployment validation processes.
- Effective documentation of network behavior and configuration states.
- Development of reusable lab templates and optimized team workflows.
Summary and Next Steps
Requirements
- Solid experience in creating GNS3 topologies and configuring network devices.
- Functional understanding of Python or Ansible scripting.
- Basic grasp of containerization concepts and cloud infrastructure fundamentals.
Target Audience
- Lead network engineers and DevNet specialists.
- Professionals focused on coupling GNS3 with automation stacks like Ansible and Python.
- Engineers exploring the use of Dockerized services within virtualized lab settings.
- Advanced users developing hybrid cloud labs or simulating diverse multi-vendor network environments.
Testimonials (1)
communication, knowledge from experience, solve problems,
