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What if you could deploy a production-ready containerized application with just one command? Amazon ECS Express Mode makes this possible. In this lightning talk, watch a live demonstration of deploying a containerized application that's instantly production-ready with automatic URL generation, scaling, and AWS best practices built-in. Learn how you can start simple and still access the full power of ECS as your application needs grow.

Managing thousands of SaaS customer domains doesn’t have to be complex. In this session, discover how Amazon CloudFront SaaS Manager lets you deliver multi-tenant applications with speed, security - reducing operational overhead. See how to enforce security policies across every tenant, automate SSL/TLS provisioning with AWS Certificate Manager, and deliver branded, low-latency experiences worldwide.

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In this session, learn how Netflix successfully orchestrated the migration of terabytes of mission-critical data across 100+ clusters to Amazon Aurora while ensuring continuous service for millions of global subscribers. Through a detailed examination of their innovative approach combining AWS Database Migration Service and Netflix's proprietary Data Streaming Platform, explore how they achieved near-zero downtime and maintained data integrity throughout this complex transition.

Cisco is committed to delivering generative AI responsibly—focusing on fairness, transparency, and security to build customer trust. To support features that require wide regional availability and low latency without high initial loads, Cisco turned to Amazon Bedrock. The platform’s easy access to cutting-edge models from multiple providers, combined with global scalability, made it the right choice for cost-effective AI deployment.

In this presentation during the AWS Summit NYC 2025 Keynote, Ashok N. Srivastava, Ph.D., SVP, Chief Data Officer at Intuit, shares how Intuit is powering prosperity following decades of re-invention that positioned them to take advantage of cutting-edge, AI-driven technology. He focuses on how Intuit is delivering agentic solutions to their customers and pursuing bold objectives for prosperity, reputation, and growth.

Join us for an exciting deep dive into how Pieces Technologies is transforming healthcare with Generative AI and AWS! We’ll explore their cutting-edge platform that’s changing the game in clinical decision support, care coordination, and patient outcomes.

In this video, learn how to set up your dev environment, use AWS CLI, and deploy your first app using CDK. No more console confusion - whether you're a beginner or looking to streamline your workflow, become an AWS command line pro today! Github Repo: https://go.aws/4bLzGos IAM User Setup: https://go.aws/4tfcGnG AWS CLI Install Guide: https://go.aws/4sI50dE Read more on AWS Builder Center: https://go.aws/3PJoEHN Follow AWS Developers! 🆇 X: https://go.aws/47DcaYq 💼 LinkedIn: https://go.

Discover how emotional intelligence is revolutionizing cybersecurity leadership in this episode of AWS Executive Insights, featuring Hart Rossman, VP of Global Services Security. Beyond technical expertise, security leaders must cultivate empathy, emotional regulation, and interpersonal skills within their workforce in order to avoid burnout, reduce human errors, and realize greater productivity.

Cloud administrators face challenges in efficiently managing temporary sandbox environments while maintaining security and cost control. Innovation Sandbox on AWS addresses this by automating the deployment and management of short-lived sandbox environments. It implements service control policies, spend controls, and account recycling mechanisms, saving weeks of administration time.

Organizations struggle to customize AI models for complex tasks due to the extensive human annotation required for traditional fine-tuning approaches. Learn how Amazon Bedrock's new Reinforcement Fine Tuning (RFT) capabilities enable developers to train models using custom evaluators instead of large labeled datasets. Discover how to implement RFT with Amazon Nova and open-source models using techniques like RLVR for code generation and RLAIF for AI feedback.

Software developers face challenges that go beyond coding, such as preparing design documentation, deep diving into architecture component choices, making complex decisions, and expediting ticket resolution. With Quick, developers can dramatically speed up decision-making by eliminating the need to manually navigate scattered documentation, tribal knowledge, and switching between tools. For instance, they may want to understand security policies for an application they’re building.