AWS Compute Blog

Category: Advanced (300)

Streamlining trace sampling behavior for AWS Lambda functions with AWS X-Ray

This post explores the importance of distributed tracing for operating serverless applications and announces an important update to tracing behavior for AWS Lambda, which streamlines how trace context is handled in PassThrough mode. This blog post will demonstrate how this change gives you better control over how your Lambda functions handle tracing with AWS X-Ray through practical examples. Whether you’re building new applications or operating existing ones, this update helps you achieve more predictable and efficient tracing across your serverless applications built using Lambda.

Simplifying Amazon EC2 instance type flexibility with new attribute-based instance type selection features

This blog is written by Rajesh Kesaraju, Sr. Solution Architect, EC2-Flexible Compute and Peter Manastyrny, Sr. Product Manager, EC2. Today AWS is adding two new attributes for the attribute-based instance type selection (ABS) feature to make it even easier to create and manage instance type flexible configurations on Amazon EC2. The new network bandwidth attribute […]

Cost Optimize your Jenkins CI/CD pipelines using EC2 Spot Instances

Author: Rajesh Kesaraju, Sr. Specialist Solution Architect, EC2 Spot Instances In this blog post, I go over using Amazon EC2 Spot Instances on continuous integration and continuous deployment (CI/CD) workloads, via the popular open-source automation server Jenkins. I also break down the steps required to adopt Spot Instances into your CI/CD pipelines for cost optimization purposes. In this blog, I explain […]

Decoupled translation architecture.

Translating documents at enterprise scale with serverless

Developing a scalable translation solution for thousands of documents can be challenging using traditional, server-based architecture. Using a serverless approach, this becomes much easier since you can use storage and compute services that scale for you.

Figure 5: Resource Automation using Serverless Scheduler - A deeper look A deeper dive in to Part 2, resource allcoation.

Decoupled Serverless Scheduler To Run HPC Applications At Scale on EC2

This post is written by Ludvig Nordstrom and Mark Duffield | on November 27, 2019 In this blog post, we dive in to a cloud native approach for running HPC applications at scale on EC2 Spot Instances, using a decoupled serverless scheduler. This architecture is ideal for many workloads in the HPC and EDA industries, and […]

Screenshot of the SMS virtual machine start page

Migrating Azure VM to AWS using AWS SMS Connector for Azure

AWS SMS is an agentless service that facilitates and expedites the migration of your existing workloads to AWS. The service enables you to automate, schedule, and monitor incremental replications of active server volumes, which facilitates large-scale server migration coordination. Recently, you could only migrate virtual machines (VMs) running in VMware vSphere and Microsoft Hyper-V environments. […]

Optimizing deep learning on P3 and P3dn with EFA

This post is written by Rashika Kheria, Software Engineer, Purna Sanyal, Senior Solutions Architect, Strategic Account and James Jeun, Sr. Product Manager, and Amr Ragab The Amazon EC2 P3dn.24xlarge instance is the latest addition to the Amazon EC2 P3 instance family, with upgrades to several components. This high-end size of the P3 family allows users to […]

Optimizing for cost, availability and throughput by selecting your AWS Batch allocation strategy

This post is contributed by Steve Kendrex, Senior Technical Product Manager, AWS Batch   Introduction   AWS offers a broad range of instances that are advantageous for batch workloads. The scale and provisioning speed of AWS’ compute instances allow you to get up and running at peak capacity in minutes without paying for downtime. Today, I’m […]

Visualizing Sensor Data in Amazon QuickSight

This post is courtesy of Moheeb Zara, Developer Advocate, AWS Serverless The Internet of Things (IoT) is a term used wherever physical devices are networked in some meaningful connected way. Often, this takes the form of sensor data collection and analysis. As the number of devices and size of data scales, it can become costly […]