
Explore best practices and challenges in building scalable AI/ML platforms using cloud-native technologies like Kubernetes, Kubeflow, and KServe. Deep dive into a reference platform for modern AI infrastructure.

Explore The New York Times' journey in crafting a powerful Internal Developer Platform, gaining insights on abstracting Kubernetes complexities while maintaining control and customization.

Explore multi-cluster Kubernetes architectures as essential components of Internal Developer Platforms. Learn to enhance resource isolation, scalability, and disaster recovery in your infrastructure.

Explore Infrastructure as Code for Kubernetes package management, addressing limitations of text-based templating and introducing Yoke as a solution for efficient resource management.

Leverage Kubernetes Operators and CRDs to engineer higher-level abstractions for developers, lowering cognitive load and enabling focus on value delivery in platform orchestration.

Learn to deploy and manage GitHub self-hosted runners on Kubernetes using Actions Runner Controller (ARC) for enhanced CI/CD workflows, improved scalability, and cost-efficiency.

Explore Kargo for GitOps-based multi-stage deployment pipelines, addressing challenges in application delivery without compromising core principles or relying on complex CI systems.

Discover observability best practices for internal platforms. Learn to ensure resiliency, measure adoption, and provide self-service observability for deployed code, enhancing developer experience and platform efficiency.

Uncover valuable lessons from RELEX Solutions' journey in building an Internal Developer Platform, exploring mistakes made and insights gained since 2019.

Discover how GitOps and Argo CD revolutionize software delivery, improving efficiency and reliability for thousands of teams in cloud-native environments.

Optimize Kubernetes for faster, reliable on-demand environments. Learn to handle high pod churn, eliminate single points of failure, and implement guardrails for controllers at scale.

Optimize Kubernetes resource allocation using open-source tools. Learn to set accurate requests and limits, improving utilization, cost-efficiency, and reliability in your clusters.

Explore security policies and guardrails in Kubernetes deployments, bridging the gap between development, security, and operations teams for enhanced collaboration and protection.

Discover how to rapidly set up a production-ready Kubernetes cluster using an extendable Argo CD framework in this live demo, simplifying cloud-native tool integration.

Explore Kubernetes with Compute Engine VMs: Learn K8s basics, GKE Autopilot, pricing, developer operations, containerization, and how to choose between K8s and VMs for your projects.

Explore tools and best practices for enhancing containerized development productivity using Google Cloud and open source solutions. Learn to streamline workflows and overcome common challenges.

Explore on-premises AI solutions for secure, scalable applications using Google Distributed Cloud. Learn to build, deploy, and manage AI models at the edge for improved data security and agile development.

Explore hybrid connectivity networking with GKE Enterprise. Learn about service mesh, config management, migration, and see a demo showcasing its capabilities for modern application development.

Explore serverless patterns, Kubernetes, and secure software delivery to simplify, accelerate, and scale container applications using Google's decade-long expertise.

Explore Chaos Engineering to enhance infrastructure resilience. Learn about simulating failures, designing workflows, and improving system stability through proactive testing and observability.

Discover tools to accelerate development and boost productivity when deploying cloud-native Java apps to Kubernetes, revolutionizing your workflow.