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Kubernetes

container_orchestration devops microservices

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2020-Q1 2026-Q1

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Grappling with scaling your AI and machine learning (ML) platforms to meet demand and ensuring rapid recovery from failures? This session dives into strategies for optimizing end-to-end startup latency for AI and ML workloads on Google Kubernetes Engine (GKE). We’ll explore how image and pod preloading techniques can significantly reduce startup times, enabling faster scaling and improved reliability. Real-world examples will show how this has led to dramatic improvements in application performance, including a 95% reduction in pod startup time and 1.2x–2x speedup.

session
by Gari Singh (Google Cloud) , Drew Bradstock (Google Cloud) , Basil Shikin (AppLovin Corporation)

Ten years ago, Google Kubernetes Engine (GKE) was born! Since then, it has become the industry-leading managed Kubernetes platform, powering mission-critical workloads across all industries. But the innovations have just begun. Join this session to learn about the latest GKE features and upcoming innovations – such as next-generation autoscaling, lightning-fast node startup, and multi-cluster fleet management – that make GKE the best Kubernetes platform for the next generation of AI and modern workloads.

Today's applications are built using containers, and Kubernetes has become the de facto standard for running containerized workloads. Google Kubernetes Engine (GKE) is the most automated, scalable, and fully managed Kubernetes platform run by the largest contributor to Kubernetes. Join this session to learn how GKE simplifies compute orchestration, provides cost-optimized autoscaling and reduces Day 2 operations, allowing you to focus on building and running your application workloads while Google Cloud manages your infrastructure.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Kubernetes is the de facto standard for running modern, containerized workloads in cloud. Google open-sourced Kubernetes 10 years ago and has built the easiest to use and most scalable managed service in Google Kubernetes Engine (GKE). Join this keynote to learn how top customers are leveraging GKE to run their businesses and to hear about the latest innovations and future directions of GKE.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.