Category: Technical How-to

AWS Graviton2 processors deliver a major leap in performance and capabilities over first-generation AWS Graviton processors. They power Amazon Elastic Compute Cloud (Amazon EC2) M6g, C6g, and R6g instances, and their variants with local disk storage. Graviton2-based EC2 instances provide up to 40% better price/performance over comparable current generation x86-based instances for a wide variety […]

Web applications interacting with AWS in a number of ways may need to represent and display sets of information in the form of charts, diagrams, or graphs. Common examples of that information includes small amounts of data coming from AWS Costs & Usage Reports or Amazon Elastic Compute Cloud (Amazon EC2), either historical or real-time. […]

BigBlueButton is an open source video conference system that supports various audio and video formats and allows the use of integrated video-, screen- and document-sharing functions. BigBlueButton has features for multi-user whiteboards, breakout rooms, public and private chats, polling, moderation, emojis, and raise-hands. In this post, we will explain how AWS customers who are looking […]

Customers selecting AWS as their preferred cloud have been able to deploy OpenShift through a variety of means. In this post we will explore what has changed in the latest version of OpenShift, and what these changes mean for AWS customers. We also will explore the latest OpenShift on AWS Quick Starts open source project, […]

This article is a guest post from Joaquin Menchaca, an SRE at Dgraph. Dgraph is an open source, distributed graph database, built for production environments, and written entirely in Go. Dgraph is fast, transactional, sharded, and distributed (joins, filters, sorts), consistently replicated with Raft, and provides fault tolerance with synchronous replication and horizontal scalability. The […]

In this post, three AWS interns—Brandon Kimberly, Ankit Bhargava, and Hudson Humphries—describe their first engineering contributions to the popular open source observability project OpenTelemetry. Recently we made contributions to OpenTelemetry that included the metrics collection and processing functionality for the C++ library. These metrics are collected from instrumented applications and infrastructure. They allow users to […]

This post is contributed by Xiaoyan Zhang, a Data Scientist from TalkingData. TalkingData is a data intelligence service provider that offers data products and services to provide businesses insights on consumer behavior, preferences, and trends. One of TalkingData’s core services is leveraging machine learning and deep learning models to predict consumer behaviors (e.g., likelihood of […]

A common request from AWS ParallelCluster users is to have the ability to deploy multiple POSIX user accounts. The wiki on the project GitHub page documents a simple mechanism for achieving this, and a previous blog post, “AWS ParallelCluster with AWS Directory Services Authentication,” documents how to integrate AWS ParallelCluster with AWS Directory Service. However, […]

Large-scale distributed software systems are composed of several individual sub-systems—such as CDNs, load balancers, and databases—and their interactions. These interactions sometimes have unpredictable outcomes caused by unforeseen turbulent events (for example, a network failure). These events can lead to system-wide failures. Chaos engineering is the discipline of experimenting on a distributed system to build confidence […]

This article was contributed by Josiah Davis, Charles Frenzel, and Chen Wu. TorchServe is a model serving library that makes it easy to deploy and manage PyTorch models at scale in production environments. TorchServe removes the heavy lifting of deploying and serving PyTorch models with Kubernetes. TorchServe is built and maintained by AWS in collaboration […]