AWS Compute Blog
Category: Best Practices
Configuring low latency connectivity between AWS Outposts rack and on-premises data using CoIP
This blog post is written by, Leonardo Azize Martins, Cloud Infrastructure Architect, Professional Services. AWS Outposts rack enables applications that need to run on-premises due to low latency, local data processing, or local data storage needs by connecting Outposts rack to your on-premises network via the local gateway (LGW). Each Outpost rack includes a local […]
Read MoreUnderstanding the lifecycle of Amazon EC2 Dedicated Hosts
This post is written by Benjamin Meyer, Sr. Solutions Architect, and Pascal Vogel, Associate Solutions Architect. Amazon Elastic Compute Cloud (Amazon EC2) Dedicated Hosts enable you to run software on dedicated physical servers. This lets you comply with corporate compliance requirements or per-socket, per-core, or per-VM licensing agreements by vendors, such as Microsoft, Oracle, and […]
Read MoreUse AWS Nitro Enclaves to perform computation of multiple sensitive datasets
This blog post is written by, Jeff Wisman, Principal Solutions Architect and Andrew Lee, Solutions Architect. Introduction Many organizations have sensitive datasets that they do not want to share with others because of stringent security and compliance requirements. However, they would still like to use each other’s data to perform processing and aggregation. For example, […]
Read MoreImplementing Attribute-Based Instance Type Selection using Terraform
This blog post is written by Christian Melendez, Senior Specialist Solutions Architect, Flexible Compute – EC2 Spot and Carlos Manzanedo Rueda, WW SA Leader, Flexible Compute – EC2 Spot. In this blog post we will cover the release of Terraform support for Attribute-Based Instance Type Selection (ABS). ABS simplifies the configuration required to acquire compute […]
Read MoreCapturing GPU Telemetry on the Amazon EC2 Accelerated Computing Instances
This post is written by Amr Ragab, Principal Solutions Architect EC2. AWS is excited to announce the native integration of monitoring GPU metrics through the CloudWatch Agent. Customers can now easily monitor GPU utilization and its memory to scale their workloads more effectively without custom scripts. In this post, we’ll describe how to allow GPU […]
Read MoreRunning AWS Lambda functions on AWS Outposts using AWS IoT Greengrass
This blog post is written by Adam Imeson, Sr. Hybrid Edge Specialist Solution Architect. Today, AWS customers can deploy serverless applications in AWS Regions using a variety of AWS services. Customers can also use AWS Outposts to deploy fully managed AWS infrastructure at virtually any datacenter, colocation space, or on-premises facility. AWS Outposts extends the […]
Read MoreOptimizing your AWS Lambda costs – Part 1
This blog post explains how Lambda pricing works and how right-sizing applications and tuning them for performance efficiency offers a more cost-efficient utilization model. The results can also reduce latency, creating a better experience for your end users.
Read MoreMaking your Go workloads up to 20% faster with Go 1.18 and AWS Graviton
This blog post was written by Syl Taylor, Professional Services Consultant. In March 2022, the highly anticipated Go 1.18 was released. Go 1.18 brings to the language some long-awaited features and additions, such as generics. It also brings significant performance improvements for Arm’s 64-bit architecture used in AWS Graviton server processors. In this post, we […]
Read MoreAmazon EC2 DL1 instances Deep Dive
This post is written by Amr Ragab, Principal Solutions Architect, Amazon EC2. AWS is excited to announce that the new Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances are now generally available in US-East (N. Virginia) and US-West (Oregon). DL1 provides up to 40% better price performance for training deep learning models as compared to […]
Read MoreChoosing the right solution for AWS Lambda external parameters
This post is written by Thomas Moore, Solutions Architect, Serverless. When using AWS Lambda to build serverless applications, customers often need to retrieve parameters from an external source at runtime. This allows you to share parameter values across multiple functions or microservices, providing a single source of truth for updates. A common example is retrieving […]
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