Category: Technical How-to

This post was contributed by Qing Lan, Carol McDonald, and Kong Zhao. With the growing interest in deep learning (DL), more users are using DL in their production environments. Because DL requires intensive computational power, developers are leveraging GPUs to do their training and inference jobs. As part of a major Apache Spark initiative to […]

This post was written by Stanislav Kirdey, Lan Qing, Lai Wei, and Lu Huang. Netflix is one of the world’s largest entertainment services with over 260 million members in more than 190 countries. One of the ways Netflix is able to sustain a high-quality customer experience is by employing deep learning models in the observability […]

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 […]

Testing is an essential task when building software. Testing helps improve software quality by finding bugs before they reach production. The sooner we know there is a defect in code, the easier and cheaper it is to correct. Automated tests are a central piece in reducing this feedback loop. In association with a continuous integration […]

NICE DCV is an AWS-owned high performance remote display protocol, which specializes in 2D/3D interactive streaming over the internet or a local network (e.g., WiFi). With the power of NICE DCV we can seamlessly connect to our remote session running either in the cloud or data center via internet from a local laptop. We can […]

Over the past few years, fast.ai has become one of the most cutting-edge, open source, deep learning frameworks and the go-to choice for many machine learning use cases based on PyTorch. It has not only democratized deep learning and made it approachable to general audiences, but fast.ai has also become a role model on how […]

Machine learning (ML) and artificial intelligence (AI) adoption is growing at nearly 25 percent per year in a variety of businesses, which results in data scientists and engineers building more analytical models per person with similar levels of resources as last year. To keep up with such high demand, builders need to remove manual and […]

In this blog post, intern engineers Azfaar Qureshi and Shovnik Bhattacharya talk about their experience working with Cortex, a popular open source observability project. They share the challenges they faced and how they applied lessons learned to improve the development experience for other contributors in the Cortex Project. The rise of open source has completely […]

In this post, AWS intern Wilbert Guo shares his experience in building the AWS Distro for OpenTelemetry developer site using Gatsby and GraphQL. The developer site aims to provide a place where customers can find out more information about the project, as well as get involved and download the distribution. OpenTelemetry is a popular open […]

In a previous article, we highlighted the potential for deploying a local LDAP server to provide a mechanism for managing a multi-user AWS ParallelCluster deployment with low administrator overhead. If we want our cluster users to access or manage other AWS resources, it’s preferable to control their access via AWS Identity and Access Management (IAM). […]