- Event
- Bootcamp
- Open-source SONiC migration journey bootcamp
1 hr
- Bootcamp
Open-source SONiC migration journey bootcamp
- Thursday, October 17, 2024
- 8:00 am PST - 9:00 am PST
Discover how the SONiC open-source network operating system can revolutionize your enterprise network. Join us for an in-depth bootcamp designed to help you reduce Total Cost of Ownership (TCO), avoid vendor lock-ins, and future-proof your network with scalable, cost-effective solutions.
Agenda
- 01. SONiC Overview
What is SONiC and why is it the future of networking?
- 02. Deployment Models:
Explore various network deployment architectures including IPCLOS, L2LS, and DCI-VXLAN.
- 03. Migration cookbook:
Side-by-side views of EOS, PICA8, Cumulus, NXOS, and SONiC configurations.
- 04. Tool Integration:
Demonstrations on how to use tools like Ansible for automation and orchestration with SONiC.
- 05. ONES Orchestration and Monitoring:
Learn about Aviz’s template orchestration and real-time monitoring capabilities.
- 06. Case Studies:
Hear customer success stories highlighting the transition to and benefits of SONiC.
- 07. Q&A Session:
Have your specific questions answered by our SONiC experts.
Why Attend?
Discover more
- Expert Guidance: Learn directly from the pioneers integrating SONiC into enterprise networks.
- Hands-On Experience: Get practical experience with SONiC through live demonstrations and guided sessions.
- Live demos and config migration templates
Speakers
Learn from industry experts Khurram Khani, who have extensive experience in data networking, cloud technologies, and open source.
Khurram Khani, VP of Customer Success, Aviz Networks
Khurram Khani is a technology leader with 20yrs of experience in Data Networking, Cloud and Open Source. His leadership in large-scale data center transformations demonstrates his ability to navigate complex technical environments and drive successful implementations. Currently, he is at the helm of Customer Success at Aviz, where he plays a crucial role in making SONiC/ Open Networking and generative AI technologies accessible to a broad audience.
