Tag: Amazon EC2

Online multiplayer gaming continues to grow, with players demanding lower latency, higher concurrency, and more immersive experiences than ever before. For game studios hosting dedicated multiplayer servers on AWS, infrastructure decisions directly impact player experience and retention, server tick rates, and ultimately, revenue. Games are becoming more computationally demanding while offering richer gameplay experiences. Studios […]

The primary storage solutions for EC2 Windows instances, Amazon EC2 Instance Store and Amazon Elastic Block Store (Amazon EBS) , now provide detailed performance statistics for real-time monitoring. Real-time monitoring enables you to gain visibility into key performance metrics, such as latency, throughput, and IOPS, allowing you to detect and address potential bottlenecks or issues […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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.

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.