Containerization has become a pivotal technology in the modern IT landscape, and while it's often associated with software developers, its implications and benefits extend to network engineers as well.
As containerization continues to gain traction, network engineers who understand its intricacies will be better equipped to design, secure, and manage modern networks. It's not just about staying relevant; it's about being prepared for the future of networking. This intensive three-day course equips university IT engineers with essential knowledge and hands-on experience in containerization, focusing on Docker and Kubernetes. Participants will delve into the core concepts of container technology, explore Docker's components, and harness Kubernetes' orchestration capabilities. Real-world scenarios and labs will provide practical insights into building, deploying, and managing containers.
It should be a good opportunity for network/systems engineers/operators to know about LEARN operations and how individual campuses operate their IT infrastructures. 20 minutes will be given for a presentation from each institute. Your presentation may include current operations/status of your network, network topology, its services, your experience, successful stories and future development plans, etc. A presentation should have 10 minutes current operations/status and 10 minutes future plans and discussion.
Venue: Information Technology Center, University of Peradeniya
Duration: 5 days
Class size: 50
Target group: Senior network/systems engineers/managers/administrators and developers from the LEARN member institutes. (one who deals with the campus network)
Program Level: Advanced
Prerequisites: Advanced understanding of Linux command-line operations
Learning Outcomes: By the end of this course, participants will be proficient in containerization concepts, Docker operations, and Kubernetes deployment strategies.
Course fee: Free of charge (Four nights accommodation sharing basis, morning and afternoon refreshment, lunch, dinner and break-first will be provided)
Dates: 11th to 15th December 2023
Note: Participant are requested to bring a laptop (minimum 8GB RAM and recommended 16GB, 50GB free disk space)
Application closing: 17th November 2023