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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture tailored for distributed deployments
- Strategies for optimizing GNS3 server and GNS3 VM performance
- Techniques for managing multiple projects and facilitating collaborative workflows
Network Automation with Python and Ansible
- Fundamentals of automation within network engineering
- Methods for creating and deploying automation scripts specifically for GNS3
- Automating router and switch configurations using Ansible playbooks
- Implementing automated checks to verify network state and compliance
Docker Integration in GNS3
- Processes for installing and configuring Docker containers within GNS3
- Leveraging prebuilt Docker appliances for web servers, DNS, and Linux services
- Developing custom Docker containers to enhance network testing capabilities
- Simulating microservices and service chaining across GNS3 topologies
Cloud and Hybrid Lab Integration
- Designing hybrid environments by combining GNS3 with public cloud services
- Establishing connections between GNS3 and AWS, Azure, or GCP using VPN and tunneling
- Deploying cloud-based endpoints and integrating them with simulated networks
- Addressing security and access management considerations for hybrid topologies
Multi-Vendor Testing and Simulation
- Running and managing virtual machines from multiple vendors, such as Cisco, Juniper, and Palo Alto
- Utilizing QEMU, IOU/IOL, and VirtualBox appliances in conjunction
- Employing traffic generation and application emulation techniques for interoperability testing
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines to manage version control and testing
- Automating the deployment and rollback of topologies
- Utilizing REST APIs to control GNS3 operations from external scripts
Use Cases and Best Practices
- Designing labs for thorough pre-deployment validation
- Effectively documenting network behavior and configurations
- 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
- Understanding of containerization principles and cloud computing fundamentals
Target Audience
- Senior network engineers and DevNet specialists
- Engineers focused on integrating GNS3 with automation frameworks such as Ansible and Python
- Professionals exploring the use of Dockerized services within virtual lab environments
- Advanced users engaged in hybrid cloud lab development or multi-vendor environment simulation
Testimonials (1)
communication, knowledge from experience, solve problems,
