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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- An overview of GNS3 architecture geared towards distributed deployments.
- Strategies for optimising the performance of GNS3 servers and GNS3 VMs.
- Techniques for managing multiple projects and fostering collaborative workflows.
Network Automation with Python and Ansible
- Understanding the role of automation in modern network engineering.
- Writing and deploying automation scripts within GNS3.
- Using Ansible playbooks to automate the configuration of routers and switches.
- Implementing automated checks to test network state and ensure compliance.
Docker Integration in GNS3
- Steps for installing and configuring Docker containers within GNS3.
- Leveraging prebuilt Docker appliances, including web servers, DNS, and Linux services.
- Constructing custom Docker containers tailored for network testing.
- Simulating microservices and service chaining across 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 VPN and tunneling techniques.
- Integrating simulated networks with cloud-based endpoints.
- Addressing security and access considerations specific to hybrid topologies.
Multi-Vendor Testing and Simulation
- Running and managing VMs from various vendors, such as Cisco, Juniper, and Palo Alto.
- Coordinating QEMU, IOU/IOL, and VirtualBox appliances for comprehensive testing.
- Utilising traffic generation and application emulation to test interoperability.
CI/CD and Advanced Lab Automation
- Connecting GNS3 to Git and CI pipelines to enhance version control and testing processes.
- Automating the deployment and rollback of network topologies.
- Controlling GNS3 from external scripts using REST APIs.
Use Cases and Best Practices
- Designing labs specifically for pre-deployment validation.
- Effectively documenting network behaviours and configurations.
- Creating reusable lab templates and establishing efficient team workflows.
Summary and Next Steps
Requirements
- Demonstrated proficiency in creating GNS3 topologies and configuring devices.
- Practical working knowledge of Python or Ansible.
- A solid understanding of containerisation and cloud computing fundamentals.
Audience
- Senior network engineers and DevNet professionals.
- Engineers focused on integrating GNS3 with automation frameworks, such as Ansible and Python.
- Professionals experimenting with Dockerised services within virtual labs.
- Advanced users developing hybrid cloud labs or simulating multi-vendor environments.
Testimonials (1)
communication, knowledge from experience, solve problems,
