Charting Your Own Course Through the Cloud Native Landscape

The presentation discusses a cycle for learning complex topics like Kubernetes, emphasizing the importance of collecting resources, refining them, and repeating the cycle. It also highlights the need to evaluate personal knowledge level, learning style, and available time when choosing resources.

• Collect introductory resources to get a sense of the landscape
• Skim resources to identify patterns and evaluate assumed knowledge
• Narrow down resources based on personal resonance and learning style
• Track study habits and accept that learning is a lifelong process
• Seek guidance from mentors and participate in public learning communities
• Deep learning takes time, so build a good pattern and repeat the cycle

The speaker shares a personal anecdote about struggling to learn Kubernetes due to a lack of familiarity with Linux commands. They emphasize the importance of evaluating assumed knowledge when choosing resources.

The cloud native landscape is notoriously vast, and there is no hope of one human ever understanding every piece of it. Perhaps you should just quit now! Or instead, join Matty and Whitney on a journey with three fictional learners who are all trying to level up their Kubernetes knowledge, but with different backgrounds, goals, and learning styles. They will share resources and learning strategies that are beneficial to each. Anecdotal stories about how some real-life, well-known Kubernetes community members got their start will be sprinkled in along the way! The goal is not to give a comprehensive view of the Kubernetes learning landscape but instead to leave you feeling empowered to define your own personal learning strategies and goals, and then to seek out the resources that will best help you!Click here to view captioning/translation in the MeetingPlay platform!