Operations | Monitoring | ITSM | DevOps | Cloud

In this episode, Itiel Shwartz kicks off a series on MLOps, LLM, and GenAI in Kubernetes. Starting with Alexei Ledenev, who has over two decades in software development and deep experience in cloud architecture and distributed systems. He shares his journey from CoreOS Fleet to his current role on the Platform Team at Doit.

Meet Idan Gazit from GitHub Next, a team responsible for projects like GitHub Copilot. Gazit, despite jokingly claiming to be "the least knowledgeable about Kubernetes," shares his diverse career journey, spanning from early web development with Perl and Django to his time at Heroku and eventually GitHub. He discusses his team's role in prototyping future software development solutions, emphasizing the importance of identifying and nurturing risky, impactful ideas for developers, even if it means "killing projects" that don't gain traction.

Amit Bar-Oz, Sr. Solution Architect at Komodor, showcases the all-encompassing capabilities of Komodor's Kubernetes Platform, including AI-driven RCA, cost/performance optimization, and first-class-citizenship support for cluster add-ons, CRDs, and ecosystem integrations.