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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture suited for distributed deployments.
- Optimizing performance for GNS3 servers and GNS3 VMs.
- Managing multiple projects and establishing collaborative workflows.
Network Automation with Python and Ansible
- An introduction to automation practices in network engineering.
- Developing and deploying automation scripts specifically for GNS3.
- Automating router and switch configurations using Ansible playbooks.
- Verifying network state and ensuring compliance through automated checks.
Docker Integration in GNS3
- Processes for installing and configuring Docker containers inside GNS3.
- Leveraging prebuilt Docker appliances, such as web servers, DNS, and Linux services.
- Crafting custom Docker containers tailored for network testing.
- Simulating microservices and service chaining within GNS3 topologies.
Cloud and Hybrid Lab Integration
- Designing hybrid environments that combine GNS3 with public cloud services.
- Connecting GNS3 to AWS, Azure, or GCP using VPNs and tunneling technologies.
- Deploying cloud-based endpoints and integrating them with simulated networks.
- Addressing security and access control considerations for hybrid topologies.
Multi-Vendor Testing and Simulation
- Running and managing VMs from multiple vendors, including Cisco, Juniper, and Palo Alto.
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances in conjunction.
- Implementing traffic generation and application emulation for interoperability testing.
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines for effective version control and testing.
- Automating the deployment and rollback of network topologies.
- Controlling GNS3 via REST APIs from external scripting environments.
Use Cases and Best Practices
- Designing labs for thorough pre-deployment validation.
- Documenting network behavior and configuration details.
- Creating reusable lab templates and optimizing team workflows.
Summary and Next Steps
Requirements
- Strong proficiency in creating GNS3 topologies and configuring devices.
- Practical working knowledge of Python or Ansible.
- A solid understanding of containerization concepts and cloud computing fundamentals.
Target Audience
- Senior network engineers and DevNet professionals.
- Engineers focused on integrating GNS3 with automation frameworks such as Ansible and Python.
- Professionals exploring Dockerized services within virtual lab settings.
- Advanced users developing hybrid cloud labs or simulating complex multi-vendor environments.
Testimonials (1)
communication, knowledge from experience, solve problems,
