Category: Compute

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 […]

As our customers increasingly adopt containers to run their workloads, we saw a need for a Linux distribution designed from the ground up to run containers with a focus on security, operations, and manageability at scale. Customers needed an operating system that would give them the ability to manage thousands of hosts running containers with […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. Visit the website to learn more. In September 2019, we published a blog post, Building a Serverless FHIR Interface on AWS, which explained why customers might want to use FHIR (Fast Healthcare interoperability Resources) as a healthcare interface, and why serverless technology […]

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 post was contributed by AWS Serverless Hero Ben Ellerby. One of the most exciting things about serverless is the acceleration it can provide to teams. No longer do you have to invest time in the undifferentiated, heavy lifting of managing the infrastructure of our applications. Instead you can spend time writing code that creates […]

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 […]

NOTE: Since this blog post was written, much about Kubeflow has changed. While we are leaving it up for historical reference, more accurate information about Kubeflow on AWS can be found here. Many AWS customers are building AI and machine learning pipelines on top of Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow across many […]

Part 1—Open source builders: Getting started Part 2—Open source builders: Lessons learned This two-part article series is based on recent interviews with Alex Casalboni, Senior Technical Advocate at AWS, about his project AWS Lambda Power Tuning; Olaf Conijn, Principal Architect at Moneyou, about his project that is helping users more effectively build infrastructure; and Liz […]