Zero Trust Observability: Securing Google & Microsoft's Cloud-Native Universe (Combines security an

Securing and observing infrastructure beyond imagination across Google and Microsoft requires a paradigm shift. This session details our Zero Trust approach to observability across a massive multi-cloud environment supporting diverse services (OTT, broadband, health, telecom, gaming, farming, AI like Gemini, Copilot, ChatGPT). Learn how we integrate security at every layer (entry, infra, data, AI) using tools like Dragonfly, Kong, Sentry, SonarQube, Kafka, Harbor, OPA, and Dynatrace. Discover strategies for secure instrumentation, threat detection within observability data, confidential computing insights, and managing vulnerabilities in our hyper-scale Kubernetes landscape (AKS, EKS, GKE). Gain practical insights into building observable security for the most demanding cloud-native environments.

Observability at Scale: Taming 49 Clouds & 21K+ Pods

Managing observability across 49 cloud accounts (AWS, Azure, GCP, Digital Ocean), 1900+ servers, 21K+ Kubernetes pods (AKS, EKS, GKE), and hundreds of applications presents unique challenges. This session shares practical methodologies and tooling for instrumenting, collecting, and correlating metrics, logs, and traces in such a massive, diverse environment. Learn how we leverage open-source and CNCF projects alongside tools like Kong, Sentry, SonarQube, and Kafka to achieve meaningful alerting, insightful dashboards, and proactive performance management for our OTT platform. Discover strategies for unified querying, effective alerting policies, and managing observability at hyper-scale.

Beyond Data Silos: Microsoft Fabric Cloud-Native for End-to-End Analytics

Explore Microsoft Fabric, a revolutionary SaaS platform integrating data engineering, warehousing, science, and BI. Learn how its cloud-native architecture empowers developers, data engineers, and scientists with a unified, scalable, and collaborative environment, accelerating time-to-insight and simplifying the modern data landscape. Discover its relevance, benefits, and potential impact on your data strategy.

Session for KubeCon India:

Unifying Data & Analytics on Kubernetes: Introducing Microsoft Fabric
Beyond Data Silos: How Microsoft Fabric Leverages Cloud-Native for End-to-End Analytics
Empowering Data Teams with Fabric: A Cloud-Native Approach to Data Engineering, Science, and BI
From Raw Data to Insights: Exploring Microsoft Fabric's Kubernetes-Powered Architecture
The Future of Data Platforms: Microsoft Fabric's Cloud-Native Vision for Developers and Data Professionals

How to Tell Your Kids You Upgraded Kubernetes

The Kubernetes Ages: A Historical Romp (for Developers)

Before we dive into the upgrade drama, let's take a quick trip down memory lane. Kubernetes, like any complex system, evolves over time. Think of it like your own kids:Adorable in the beginning, a little messy in the middle, and hopefully, becoming awesome adults (fingers crossed).

The Toddler Years (v1.x): It all began with simple joys: deployments, pods, and the thrill of getting things up and running. Explaining this to your kids back then? Easy! "Look honey, Kubernetes just learned to walk!"

The Terrible Twos (v1.10 - v1.19): Namespaces became a labyrinth, deployments turned into tantrums, and rollbacks became your new lullaby. Confessing to your offspring,

TheAwkward Adolescence (v1.20 - v1.1.25): Teenage Kubernetes is all about exploration. New features sprouted like pimples, some cool (mutating webhooks!), some questionable (Ephemeral containers? Really?).