Join us at the Capital Factory for Food, Drinks, and Kubernetes on March 27, 2025!🎉

Everyone is invited to join! We hope to bring the latest about the Kubernetes and CNCF projects. 

We have two special guests, Lucas from AWS and Krishna from Nirmata !!!

We will be meeting at Capital Factory! The address is 701 Brazos St, Austin, TX 78701. When arriving at the building, the elevators are "unlocked" to go to this floor after 5:45 pm.

We know parking in Downtown is tricky!

So, you can park in the building garage for just $8.00 (validation parking tickets will be distributed)! 

Street parking will still be an option. More information on parking here: https://www.capitalfactory.com/parking/

Thank you to Capital Factory for sponsoring Kubernetes Austin. Capital Factory is the center of gravity for entrepreneurs in Texas. They meet the best entrepreneurs in Texas and introduce them to their first investors, employees, mentors, and customers. To sign up for a Capital Factory membership, click here.

Krishna Khandavilli

Code Your Policies: Policy-as-Code for Kubernetes Governance

In this session, we’ll explore Policy-as-Code and its benefits for DevOps, Platform, Security, and Development teams, enabling seamless integration of security across the organization.
Discover how Kyverno empowers Kubernetes governance by bringing the principles of Policy-as-Code into action.

Lucas Duarte

From Logs to Insights: Real-time Conversational Troubleshooting for Kubernetes with GenAI

In today’s distributed microservices landscape, Kubernetes environments generate vast volumes of logs, making troubleshooting complex and time-consuming. Operators often sift through massive data to identify issues, leading to prolonged downtime—a challenge that intensifies with multiple clusters. Discover how GenAI optimizes troubleshooting by transforming traditional logs into conversational insights. This session covers building an AI-driven observability solution with Large Language Models (LLMs). We start by configuring Fluent Bit collectors to gather systemd logs, Kubernetes events, and application logs, which are then streamed to a scalable object storage. By constructing a vector database, we enable users to query and interact with logs in natural language. We will provide a step-by-step guide that equips attendees with actionable knowledge to implement GenAI observability in their Kubernetes clusters.