AWS Open Source Blog

Category: Customer Solutions

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Using cloud computing to develop an open source infection prevention and disease control solution

This post was written by Nelson Assis, Zoltan Bozoky, Soyean Kim, and Victor Leung. The COVID-19 pandemic highlighted areas needing improvement in the Canadian healthcare and life sciences ecosystem. For example, as ICU beds filled with COVID-19 patients, healthcare professionals working on infection prevention and control did not have as much availability for processing patient […]

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Adopting Kotlin at Prime Video for higher developer satisfaction and less code

Choosing a programming language for a new project is a tough decision with long-lasting effects. This involves considering how well the languages integrate with the team’s existing technology stack, how mature the languages are, and what learning curve is required. For example, will there be sufficient time to learn the features of a hitherto unknown […]

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Heapothesys benchmark suite adds end-to-end timeliness metrics

Amazon Web Services (AWS) customers seek to assure consistent, reliable, and cost-efficient services. Assuring consistency includes reducing variance in transaction completion times. Assuring reliability requires that the rare transactions that do not complete within the service-specific target deadline do eventually complete in as short a time as possible. Cost efficiency drives service providers to process […]

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Embracing natural language processing with Hugging Face

In a previous post, I talked about how open source projects often work backwards from a specific problem or challenge, as one of their key motivators. In this post, I’ll explore another area where open source projects emerge: the need to follow an area of interest, a genuine passion, or an itch that needs to […]

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Creating a bridge between machine learning and quantum computing with PennyLane

In this post, Josh Izaac (Xanadu) and Eric Kessler (AWS) explain how the open source PennyLane project helps bridge the gap between the quantum computing and machine learning communities. Today, we are announcing that AWS is joining the steering council of the PennyLane open source project for variational quantum computing and quantum machine learning. Our […]

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Set up cross-region metrics collection for Amazon Managed Service for Prometheus workspaces

Amazon Managed Service for Prometheus (AMP) is a Prometheus-compatible monitoring service for container infrastructure and application metrics that makes it easy for customers to securely monitor container environments at scale. In a previous getting started blog post, we showed how to set up an AMP workspace and ingest metrics from an Amazon Elastic Kubernetes Service […]

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Setting up Grafana on EC2 to query metrics from Amazon Managed Service for Prometheus

The recently launched Amazon Managed Service for Prometheus (AMP) service provides a highly available and secure environment to ingest, query, and store Prometheus metrics. We can query the metrics from the AMP environment using Amazon Managed Service for Grafana (AMG), a self-hosted Grafana server, or using the HTTP APIs. In this article, we will look […]

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How Netflix uses Deep Java Library (DJL) for distributed deep learning inference in real-time

This post was written by Stanislav Kirdey, Lan Qing, Lai Wei, and Lu Huang. Netflix is one of the world’s largest entertainment services and it supports more than 190 million subscribers from different countries viewing from more than a thousand types of devices every day. One of the ways Netflix is able to sustain a […]

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The CDK Patterns open source journey

This post was contributed by Matthew Coulter, Technical Architect at Liberty Mutual. In the summer of 2019, I successfully applied for a promotion to the position of account architect at Liberty IT Solutions, a part of Liberty Mutual Group. This changed everything, as I went from being the systems architect supporting one area to an […]

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Improving zlib-cloudflare and comparing performance with other zlib forks

We worked with the maintainers of the Cloudflare fork of zlib (zlib-cloudflare) to improve the decompression performance on Arm and x86. With the changes, at level 6: On Arm: Compression performance: ~90 percent faster than zlib-madler (original zlib). Decompression performance: ~52 percent faster than zlib-madler. On x86: Compression performance: ~113 percent faster than zlib-madler. Decompression […]

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