Category: Amazon Elastic Kubernetes Service

Every Thanksgiving, tens of thousands of Peloton Members log on for Turkey Burn, a community tradition that has grown into one of the most technically demanding real-time workloads in the fitness industry. In 2024 and 2025, that engineering foundation held flawlessly: two consecutive events, zero major incidents. This builds on a 2023 Guinness World Record that saw 27,556 simultaneous participants in a single cycling class. Behind those results is a sophisticated cloud architecture on AWS, shaped by years of rigorous engineering, deep partnership between Peloton and AWS teams, and a relentless commitment to continuous improvement.

Learn how financial institutions in Hong Kong face a defining moment in how they deliver technology-driven banking: the Hong Kong Monetary Authority (HKMA) launched Fintech 2030 on November 3, 2025, introducing the DART framework with named initiatives and clear supervisory expectations.

Danone, one of the world’s leading food and beverage companies, operates a global cloud infrastructure supporting critical workloads across research and innovation, supply chain, and digital platforms. Their Cloud-Native Engineering team manages a growing fleet of Amazon Elastic Kubernetes Service (Amazon EKS) clusters across multiple AWS accounts and regions.

In this post, we describe a comprehensive, HIPAA-ready generative AI architecture for healthcare on Amazon Web Services (AWS) using a defense-in-depth approach. By layering compliance controls at multiple distinct levels, this architecture creates a system where no single point of failure compromises patient data protection, and each component that touches ePHI is independently auditable.

In this post, we show how to build that system on Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Bedrock, and Amazon Bedrock AgentCore, with authentication, tracing, cost control, and sandboxed code execution at every layer.

In this blog post, we show how Rivian, a leading innovator in the electric vehicle market, is using this feature to support modern containerized workloads and highly available database architectures for their critical manufacturing workloads at the edge.

Learn how AI has changed the economics of core banking modernization. Services like AWS Transform for mainframe and development tools such as Kiro now enable banks to compress multi-year migration programs into months , reducing the manual effort necessary, project risk, and overall transformation costs associated with modernizing the mainframe platform.

This article focuses on the Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Elastic Kubernetes Service (Amazon EKS) integration pattern that enable elastic, cost-efficient processing at scale.

This blog will cover how PQD enables the transformation of after-sales vehicle quality from a reactive to a proactive, data-driven approach enabled by connected vehicle data, software-defined architectures, and AI/ML services from AWS.

Autonomous Vehicles (AV) development has been maturing and is advancing through clear architectural changes: AV 1.0: classical modular stacks (perception → prediction → planning → control) with hand-engineered interfaces AV 2.0: multi-modal LLM end-to-end (E2E) learned stacks that reduce modularity and improve scaling with data AV 3.0: end-to-end reasoning VLA (Vision–Language–Action) systems that perceive, reason, […]