Author: Channy Yun (윤석찬)

Amazon Prime Day 2025 achieved record-breaking sales with enhanced AI shopping features, while AWS infrastructure handled unprecedented volumes of data—including 1.7 trillion Lambda invocations per day, DynamoDB peaking at 151 million requests per second, and a 77% increase in Fargate container tasks—showcasing the massive scalability required to power the four-day shopping event.

AWS is recognized as a Leader in the 2025 Gartner Magic Quadrant for Strategic Cloud Platform Services for the fifteenth consecutive year. In the report, Gartner once again placed AWS highest on the “Ability to Execute” axis. We believe this reflects our ongoing commitment to giving customers the broadest and deepest set of capabilities to accelerate innovation as well as unparalleled security, reliability, and performance they can trust for their most critical applications.

Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity.

AWS is enhancing its Free Tier program with up to $200 in credits for new users: $100 upon sign-up and an additional $100 earned by completing activities with services like Amazon EC2, Amazon Bedrock, and AWS Budgets.

Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches while seamlessly integrating with Amazon Bedrock Knowledge Bases, SageMaker, and OpenSearch for AI applications.

TwelveLabs video understanding models are now available on Amazon Bedrock and enable customers to search through videos, classify scenes, summarize content, and extract insights with precision and reliability.

Amazon announces the general availability of EC2 P6e-GB200 UltraServers, powered by NVIDIA Grace Blackwell GB200 superchips that enable up to 72 GPUs with 360 petaflops of computing power for AI training and inference at the trillion-parameter scale.

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