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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed deployment scenarios.
- Optimizing performance for GNS3 servers and GNS3 VMs.
- Strategies for managing multiple projects and collaborative workflows.
Network Automation with Python and Ansible
- Introduction to automation principles in network engineering.
- Developing and deploying automation scripts within GNS3.
- Automating router and switch configurations using Ansible playbooks.
- Validating network state and compliance through automated checks.
Docker Integration in GNS3
- Installation and configuration of Docker containers inside GNS3.
- Leveraging prebuilt Docker appliances for web servers, DNS, and Linux services.
- Developing custom Docker containers for specialized network testing.
- Simulating microservices and service chaining within GNS3 topologies.
Cloud and Hybrid Lab Integration
- Architecting hybrid environments by combining GNS3 with public cloud services.
- Establishing connections between GNS3 and AWS, Azure, or GCP using VPNs and tunneling.
- Deploying cloud-based endpoints and integrating them with simulated networks.
- Addressing security and access control considerations in hybrid topologies.
Multi-Vendor Testing and Simulation
- Managing and running virtual machines from multiple vendors, including Cisco, Juniper, and Palo Alto.
- Utilizing a combination of QEMU, IOU/IOL, and VirtualBox appliances.
- Performing traffic generation and application emulation for interoperability testing.
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines to support version control and automated testing.
- Automating the deployment and rollback of network topologies.
- Controlling GNS3 via REST APIs from external scripts.
Use Cases and Best Practices
- Designing labs for pre-deployment validation and assurance.
- Documenting network behavior and configuration details effectively.
- Creating reusable lab templates and establishing efficient team workflows.
Summary and Next Steps
Requirements
- Demonstrated proficiency in creating GNS3 topologies and configuring network devices.
- Practical working knowledge of Python or Ansible.
- Foundational familiarity with containerization concepts and cloud computing principles.
Intended 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 environments.
Testimonials (1)
communication, knowledge from experience, solve problems,
