AWS Compute Blog
Category: Amazon EC2
Validating attestation documents produced by AWS Nitro Enclaves
This blog post is written by Paco Gonzalez Senior EMEA IoT Specialist SA. AWS Nitro Enclaves offers an isolated, hardened, and highly constrained environment to host security-critical applications. Think of AWS Nitro Enclaves as regular Amazon Elastic Compute Cloud (Amazon EC2) virtual machines (VMs) but with the added benefit of the environment being highly constrained. […]
Deploying low-latency hybrid cloud storage on AWS Local Zones using AWS Storage Gateway
This blog post is written by Ruchi Nigam, Senior Cloud Support Engineer and Sumit Menaria, Senior Hybrid SA. AWS Local Zones are a type of infrastructure deployment that places compute, storage, database, and other select AWS services close to large population and industry centers. With Local Zones close to large population centers in metro areas, […]
Deploying an automated Amazon CloudWatch dashboard for AWS Outposts using AWS CDK
This post is written by Enrico Liguori, Networking Solutions Architect, Hybrid Cloud and Sumeeth Siriyur, Sr. Hybrid Cloud Solutions Architect. AWS Outposts is a fully managed service that brings the same AWS infrastructure, services, APIs, and tools to virtually any data center, colocation space, manufacturing floor, or on-premises facility where it might be needed. With Outposts, […]
Secure Connectivity from Public to Private: Introducing EC2 Instance Connect Endpoint
This blog post is written by Ariana Rahgozar, Solutions Architect, and Kenneth Kitts, Sr. Technical Account Manager, AWS. Imagine trying to connect to an Amazon Elastic Compute Cloud (Amazon EC2) instance within your Amazon Virtual Private Cloud (Amazon VPC) over the Internet. Typically, you’d first have to connect to a bastion host with a public […]
Selecting cost effective capacity reservations for your business-critical workloads on Amazon EC2
This blog post is written by Sarath Krishnan, Senior Solutions Architect and Navdeep Singh, Senior Customer Solutions Manager. Amazon CTO Werner Vogels famously said, “everything fails all the time.” Designing your systems for failure is important for ensuring availability, scalability, fault tolerance and business continuity. Resilient systems scale with your business demand changes, prevent data […]
Reserving EC2 Capacity across Availability Zones by utilizing On Demand Capacity Reservations (ODCRs)
This post is written by Johan Hedlund, Senior Solutions Architect, Enterprise PUMA. Many customers have successfully migrated business critical legacy workloads to AWS, utilizing services such as Amazon Elastic Compute Cloud (Amazon EC2), Auto Scaling Groups (ASGs), as well as the use of Multiple Availability Zones (AZs), Regions for Business Continuity, and High Availability. These […]
Best practices to optimize your Amazon EC2 Spot Instances usage
This blog post is written by Pranaya Anshu, EC2 PMM, and Sid Ambatipudi, EC2 Compute GTM Specialist. Amazon EC2 Spot Instances are a powerful tool that thousands of customers use to optimize their compute costs. The National Football League (NFL) is an example of customer using Spot Instances, leveraging 4000 EC2 Spot Instances across more […]
AWS Nitro System gets independent affirmation of its confidential compute capabilities
Anthony Liguori is an AWS VP and Distinguished Engineer for EC2. Customers around the world trust AWS to keep their data safe, and keeping their workloads secure and confidential is foundational to how we operate. Since the inception of AWS, we have relentlessly innovated on security, privacy tools, and practices to meet, and even exceed, […]
Optimizing Amazon EC2 Spot Instances with Spot Placement Scores
This blog post is written by Steve Cole, Principal Specialist SA, and Robert McCone, Sr. Specialist SA. Getting the compute resources you need, even vCPUS numbering in the millions, and completing a workload using Amazon EC2 Spot Instances is just a configuration away. In this post you will learn how to use Spot placement scores […]
Optimizing GPU utilization for AI/ML workloads on Amazon EC2
This blog post is written by Ben Minahan, DevOps Consultant, and Amir Sotoodeh, Machine Learning Engineer. Machine learning workloads can be costly, and artificial intelligence/machine learning (AI/ML) teams can have a difficult time tracking and maintaining efficient resource utilization. ML workloads often utilize GPUs extensively, so typical application performance metrics such as CPU, memory, and […]









