Category: Compute

Run Lambda functions on EC2 compute while maintaining serverless simplicity—enabling access to specialized hardware and cost optimizations through EC2 pricing models, with AWS handling all infrastructure management.

Streamline Kubernetes development with fully managed platform capabilities that handle workload orchestration and cloud resource management, eliminating infrastructure maintenance while providing enterprise-grade reliability and security.

Next week, don’t miss AWS re:Invent, Dec. 1-5, 2025, for the latest AWS news, expert insights, and global cloud community connections! Our News Blog team is finalizing posts to introduce the most exciting launches from our service teams. If you’re joining us in person in Las Vegas, review the agenda, session catalog, and attendee guides […]

Amazon ECS Express Mode simplifies containerized application deployment by automating infrastructure setup through a single command, allowing developers to focus on building applications while following AWS best practices.

AWS announces VPC encryption controls, a new capability that helps organizations audit and enforce encryption in transit for all traffic within and across VPCs in a Region, simplifying compliance with regulatory frameworks like HIPAA, PCI DSS, and FedRAMP through automated monitoring and enforcement modes.

AWS Lambda introduces tenant isolation mode, enabling separate execution environments for each tenant within a single function to meet strict security requirements without managing dedicated per-tenant infrastructure.

Amazon EKS introduces Container Network Observability, providing enhanced visibility into Kubernetes workload traffic and performance insights to help teams monitor and troubleshoot microservice environments.

Amazon announces the general availability of EC2 P6-B300 instances, powered by NVIDIA Blackwell Ultra GPUs, which deliver 2x networking bandwidth and 1.5x GPU memory than previous generations, making them well suited for training and serving large-scale AI models with trillion parameters across distributed GPU clusters