Category: Amazon EC2

In healthcare, generative AI is transforming how medical professionals analyze data, summarize clinical notes, and generate insights to improve patient outcomes. From automating medical documentation to assisting in diagnostic reasoning, large language models (LLMs) have the potential to augment clinical workflows and accelerate research. However, these innovations also introduce significant privacy, security, and intellectual property challenges.

Organizations running critical workloads on Amazon Elastic Compute Cloud (Amazon EC2) reserve compute capacity using On-Demand Capacity Reservations (ODCR) to have availability when needed. However, reserved capacity can intermittently sit idle during off-peak periods, between deployments, or when workloads scale down. This unused capacity represents a missed opportunity for cost optimization and resource efficiency across the organization.

Amazon Web Services (AWS) provides many mechanisms to optimize the price performance of workloads running on Amazon Elastic Compute Cloud (Amazon EC2), and the selection of the optimal infrastructure to run on can be one of the most impactful levers. When we started building the AWS Graviton processor, our goal was to optimize AWS Graviton […]

Amazon Elastic Cloud Compute (Amazon EC2) instances with locally attached NVMe storage can provide the performance needed for workloads demanding ultra-low latency and high I/O throughput. High-performance workloads, from high-frequency trading applications and in-memory databases to real-time analytics engines and AI/ML inference, need comprehensive performance tracking. Operating system tools like iostat and sar provide valuable system-level insights, and Amazon CloudWatch offers important disk IOPs and throughput measurements, but high-performance workloads can benefit from even more detailed visibility into instance store performance.

When migrating Amazon EC2 instances with encrypted Amazon EBS volumes across AWS Regions with in the same account or a different account, you face a particular challenge: AWS KMS keys are AWS Region-specific and cannot be shared across AWS Regions. This post provides a step-by-step approach to successfully migrate your encrypted EC2 instances without compromising your security posture by sharing your KMS keys.

This post builds on our workshop “Build multi-party crypto wallets with AWS Nitro Enclaves” which demonstrates a Shamir Secret Sharing (SSS) application. The SSS app securely splits cryptographic private keys into multiple shards, requiring a threshold number to reconstruct the original key, ideal for Nitro Enclaves as it prevents any single party from accessing the complete key while maintaining operational functionality. AWS Nitro Enclaves provide isolated environments that keep critical operations such as decryption and cryptographic key management secure from both from root user and external threats.

Amazon EC2 offers AMD-based instances built on multiple generations of AMD EPYC processors. This post focuses on optimization strategies for the 3rd and 4th generation families, which provide enhanced capabilities for compute and memory-intensive workloads.

When expanding your Graviton deployment across multiple AWS Regions, careful planning helps you navigate considerations around regional instance type availability and capacity optimization. This post shows how to implement advanced configuration strategies for Graviton-enabled EC2 Auto Scaling groups across multiple Regions, helping you maximize instance availability, reduce costs, and maintain consistent application performance even in AWS Regions with limited Graviton instance type availability.

Efficient resource management is crucial for organizations seeking to optimize cloud costs while making sure of seamless access to compute capacity. Amazon EC2 On-Demand Capacity Reservations (ODCRs) provide the flexibility to reserve compute capacity within a specific Availability Zone (AZ) for any duration. In this post, we demonstrate how Amazon Bedrock Agents can help organizations gain actionable insights into ODCR usage across their AWS environment.

Amazon DCV has evolved as a powerful remote display protocol, enabling secure high-performance remote desktop access and application streaming. This blog talks about how DCV remote display capabilities are now integrated with Amazon Linux 2023 (AL2023).