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 Duration 21 hours

Course Outline

Introduction to GNS3 for Network Simulation

  • GNS3 architecture and its capabilities for design and testing.
  • Comparison of GNS3 with physical labs and other simulators.
  • Recommended hardware, operating systems, and setup tips.

Setting Up the GNS3 Environment

  • Installation of the GNS3 GUI and GNS3 VM.
  • Connecting GNS3 to physical devices and virtual machines.
  • Utilizing Docker containers, appliances, and external tools.

Constructing Enterprise Network Topologies

  • Layer 2 and Layer 3 network components.
  • Simulation of multi-site WANs and data centers.
  • Representation of cloud and hybrid architectures in GNS3.

Reproducing Production Environments

  • Capturing configurations from live networks.
  • Importing existing routing and switching setups.
  • Designing scalable testbeds with realistic traffic.

Testing, Validation, and Documentation

  • Techniques for traffic generation and fault injection.
  • Automated testing scenarios, such as BGP failover, QoS, and ACLs.
  • Packet capture and flow validation using Wireshark.

Integration with Third-Party Tools

  • Connecting GNS3 to VirtualBox, VMware, or KVM.
  • Incorporating Linux-based services (DHCP, DNS, FTP) into topologies.
  • Linking with network automation tools, such as Ansible.

Advanced Applications and Best Practices

  • Utilizing GNS3 for network migrations and proof-of-concept testing.
  • Load testing, failover simulation, and performance tuning.
  • Client demonstrations and architecture validation exercises.

Conclusion and Next Steps

Requirements

  • Solid understanding of network protocols and architectures.
  • Experience in configuring network equipment, including routers, switches, and firewalls.
  • Familiarity with virtualization and system administration tools.

Target Audience

  • Network engineers and system architects.
  • IT consultants involved in network planning and migration.
  • QA and testing teams responsible for evaluating network changes.
  • Professionals engaged in lab replication of production environments.

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