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Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture focused on distributed deployments
- Performance optimization strategies for GNS3 servers and GNS3 VMs
- Managing multiple projects and facilitating collaborative workflows
Network Automation with Python and Ansible
- Foundations of automation in network engineering
- Development and deployment of automation scripts within GNS3
- Automating router and switch configurations using Ansible playbooks
- Verifying network state and compliance through automated checks
Docker Integration in GNS3
- Installation and configuration of Docker containers within the GNS3 environment
- Leveraging prebuilt Docker appliances for web servers, DNS, and Linux services
- Creating custom Docker containers for specific network testing needs
- Simulating microservices and implementing service chaining in GNS3 topologies
Cloud and Hybrid Lab Integration
- Designing hybrid environments that combine GNS3 with public cloud services
- Establishing connections from GNS3 to AWS, Azure, or GCP using VPNs and tunneling
- Deploying cloud-based endpoints and integrating them with simulated networks
- Addressing security and access considerations for hybrid topologies
Multi-Vendor Testing and Simulation
- Executing and managing VMs from various vendors, including Cisco, Juniper, and Palo Alto
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances in conjunction
- Generating traffic and emulating applications for interoperability testing
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines to enable version control and automated testing
- Automating the processes of topology deployment and rollback
- Controlling GNS3 from external scripts using REST APIs
Use Cases and Best Practices
- Designing labs for effective pre-deployment validation
- Documenting network behavior and configuration details
- Developing reusable lab templates and efficient team workflows
Summary and Next Steps
Requirements
- Demonstrated proficiency in creating GNS3 topologies and configuring devices
- Practical working knowledge of Python or Ansible
- General familiarity with containerization concepts and cloud fundamentals
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 lab settings
- Advanced users engaged in hybrid cloud lab development or multi-vendor environment simulation
21 Hours
Testimonials (1)
communication, knowledge from experience, solve problems,
