Category: Learning Levels

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 While we are leaving it up for historical reference, more accurate information about Kubeflow on AWS can be found here.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 […]

At GitHub Universe 2019, we announced that we open sourced four new GitHub Actions for Amazon ECS and ECR. Fast forward to 2020 we are expanding the number of available actions by releasing AWS CloudFormation Action for GitHub Actions. This GitHub Action enables developers and cloud engineers to maintain their infrastructure as code in a […]

AWS Cloud Development Kit (AWS CDK) is an open source software framework that allows users to define and provision AWS infrastructure using familiar programming languages. Using CDK, you can version control infrastructure, and the Infrastructure-as-Code concept opens up new opportunities to manage AWS infrastructure more efficiently and reliably. But when planning to deploy new AWS […]

Deno 1.0, a runtime for JavaScript and TypeScript, rolled out in May with appealing features for JavaScript developers, including: Secure defaults: Explicit permission must be granted for your Deno applications in order to access disk, network, and runtime environments. Native TypeScript support: No tsconfig needed—Deno acts like a native TypeScript runtime. Under the hood Deno […]

AWS offers Amazon CloudWatch to provide observability of the operational health for your AWS resources and applications through logs, metrics, and events. CloudWatch is a great way to monitor and visualize AWS resources metrics and logs. Recently I’ve found that some customers are adopting Prometheus as their monitoring standard because it offers the ability to […]

Customers across industries and verticals deal with relational database code deployment. In most cases, developers rely on database administrators (DBAs) to perform the database code deployment. This works well when the number of databases and the amount of database code changes are low. As organizations scale, however, they deal with different database engines—including Oracle, SQL […]

Many AWS customers—startups and large enterprises—are on a path to adopt machine learning and deep learning in their existing applications. The reasons for machine learning adoption are dictated by the pace of innovation in the industry, with business use cases ranging from customer service (including object detection from images and video streams, sentiment analysis) to […]

If your network architecture includes multiple route tables in your Amazon Virtual Private Cloud (VPC) and you’ve been looking for an automated solution for synchronizing route target updates across route tables, check out the AWS Sync Routes project. Or, if you just want to explore a ready‑to‑deploy, serverless infrastructure as code project, then the AWS Sync Routes project can help here, too. This […]

A typical fMRI study often produces imaging data of terabytes or more. Storing and preprocessing this data can be challenging on a single computer because it often has neither enough disk space to store the data nor enough computing power to preprocess it. Traditionally, researchers use a combination of cloud-based storage and on-premises high-performance clusters […]