AWS Compute Blog
Tag: Amazon EC2
Maximize Amazon EC2 Capacity Reservations with Capacity Manager data exports
In our previous post, we introduced Amazon EC2 Capacity Manager and its data export capability. Amazon EC2 Capacity Manager provides centralized visibility into your Amazon Elastic Compute Cloud (Amazon EC2) capacity usage across all accounts and Regions in your organization. It tracks capacity usage for three types of EC2 capacity: On-Demand instances, Spot instances, and […]
Simulating Amazon EC2 EBS burst credits before downsizing an instance
When downsizing an Amazon Elastic Compute Cloud (Amazon EC2) instance, teams often evaluate CPU and memory utilization but overlook the instance’s Amazon Elastic Block Store (Amazon EBS) performance limits for throughput and IOPS. Smaller Amazon EBS-optimized instance types have lower baselines and rely on burst credits to handle peaks. If your workload’s I/O pattern drains […]
AWS Nitro Isolation Engine: Formally verifying the hypervisor in the AWS Nitro System
Ali Saidi is a VP and Distinguished Engineer at AWS Millions of customers use the AWS Nitro System to protect their most sensitive workloads, and AWS is an industry leader in innovation to secure customer data. Helping our customers keep their data secure and confidential is our highest priority, and we continue to make investments […]
Optimize EC2 costs with AWS Compute Optimizer right sizing
One of the most impactful ways to improve the ROI on your Amazon Elastic Compute Cloud (Amazon EC2) investment is rightsizing — when you match your instance types and sizes to the actual resource demands of your workloads. However, doing this manually across hundreds or thousands of instances is time-consuming and error-prone. AWS Compute Optimizer […]
Streamline your infrastructure: Automating AMI creation with Kiro CLI and EC2 Image Builder
Managing infrastructure at scale requires robust automation tools that reduce manual effort while maintaining consistency and security. The combination of Kiro CLI and AWS EC2 Image Builder offers a powerful solution for automating the creation, testing, and deployment of Amazon Machine Images (AMIs). The challenge of manual image management Traditional approaches of creating and maintaining AMIs often involve manual […]
Sharing Capacity Blocks for ML Across Your AWS Organization
When your data science team reserves GPU instances for a two-week training job but completes it in four days, that capacity has the potential to sit unused while your computer vision team waits another week to start their project. Now you can eliminate this GPU waste and scheduling conflict by sharing Capacity Blocks for ML […]
Performance benefits of new Amazon EC2 R8a memory-optimized instances
Recently we announced the availability of Amazon Elastic Compute Cloud (Amazon EC2) R8a instances, the latest addition to the AMD memory-optimized instance family. These instances are powered by the 5th Generation AMD EPYC (codename Turin) processors with a maximum frequency of 4.5 GHz. In this post I take these instances for a spin and benchmark MySQL later on, but first I discuss the top things you should know about these instances.
Optimize latency-sensitive workloads with Amazon EC2 detailed NVMe statistics
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.
Automating Notifications for Future-Dated Amazon EC2 Capacity Reservation State Changes
This post is written by Ballu Singh, Principal Solutions Architect at AWS, Sandeep Rohilla, Senior Solutions Architect at AWS and Pranjal Gururani, Senior Solutions Architect at AWS. AWS customers are able to proactively reserve future-dated Amazon EC2 On-Demand Capacity Reservations (known as future-dated CRs) to get capacity assurance for workloads and events. Because reservations can be created weeks […]
Reduce your Microsoft licensing costs by upgrading to 4th generation AMD processors
This post is written by Jeremy Girven, Solutions Architect at AWS and Chase Lindeman, Senior Specialist Solutions Architect at AWS. Amazon Web Services (AWS) and AMD have collaborated since 2018 to deliver cost effective performance for a broad variety of Microsoft workloads, such as Microsoft SQL Server, Microsoft Exchange Server, Microsoft SharePoint Server, Microsoft Systems […]









