Operations | Monitoring | ITSM | DevOps | Cloud

#051 - Surviving the Shift: From Legacy Monoliths to Day 2 Chaos with Hayato Shimizu (Digitalis)

From the early days of "neural nets" and WebSphere to the modern complexities of Kubernetes, Hayato Shimizu has seen the evolution of infrastructure firsthand. In this episode of Kubernetes for Humans, the co-founder of Digitalis joins the show to discuss the harsh realities of enterprise platform engineering and his personal journey from corporate employee to consultancy owner.

[Webinar] Building Quality-Driven Agentic AI in Noisy Big Data Environments

Watch as Itiel Shwartz, Komodor CTO and Co-Founder as he shares hard-won lessons from developing an AI agent that processes millions of K8s events daily to deliver autonomous troubleshooting that reached 95%+ accuracy in benchmarking. This webinar covers: Building production ready systems that maintain reliability when 90% of your data is noise. How Komodor developed an AI SRE agent that processes millions of K8s events daily to deliver autonomous troubleshooting that reached 95%+ accuracy in benchmarking.

[Webinar] Accelerating Kubernetes Intelligence: Cisco's Platform Evolution

Join Hasith Kalpage, Director of Platform Engineering , and Arthur Drozdov, Agentic AI Engineer, as they share how Cisco is using Komodor’s Klaudia Agentic AI to evolve its platform strategy, to unlock smoother developer experience, slash MTTR, and reduce bottlenecks across the enterprise. – Including a live demo of the CAIPE platform!

#050 - Data Protection and Kubernetes Resilience with Michael Cade & Julia Furst Morgado (Veeam)

In this episode Itiel hosts Veeam experts Julia and Michael, to share their distinct paths into cloud-native technology. Julia discusses her transition from a background in law and marketing to becoming a CNCF ambassador and AWS container hero. Michael, a veteran who has been with Veeam for over 10 years, details his traditional CIS admin background (virtualization, storage) and the evolution of this role into platform engineering.

[WEBINAR] From Blueprint to Production: A Live Workshop for Creating an MCP Server for Kubernetes

In this hands-on workshop, we covered how to build your own MCP server from scratch and connect it to AI tools like Cursor IDE or Claude Desktop. The first half is a live coding session you can follow along with to set up an MCP server for Kubernetes troubleshooting. In the second half, we take you behind the scenes at Komodor to show how we built our MCP Server MVP: a powerful bridge between AI assistants and Kubernetes infrastructure. This is just part of the 'magic' that helps the Klaudia agentic AI technology power Komodor's AI SRE Platform.

#049 - The AI Translator: Using LLMs & MCP for K8s Operations & Self-Healing Infra with Alexei Le...

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.

#048 - Shaping the Future of Software Development with Idan Gazit (GitHub Next)

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.

Product Klip: Komodor's Advanced Cost Optimization Capabilities

This Product Klip covers Komodor's cost optimization features, highlighting how the platform helps users reduce Kubernetes spending while maintaining operational stability. Key features discussed include: Before activation, Komodor provides simulations of potential savings, and for activated clusters, it shows CPU and memory usage before and after Komodor's bin packing and the resulting dollar savings. Komodor enhances existing autoscalers rather than replacing them, unlocking up to 40% in additional savings.