Category: Learning Levels

Modern data science environments often involve many independent projects, each spanning multiple accounts. In order to maintain a global overview of the activities within the projects, a mechanism to collect data from the different accounts into a central one is crucial. In this post, we show how to leverage existing services—Amazon DynamoDB, AWS Lambda, Amazon […]

Apache Solr is an open source enterprise search platform built on Apache Lucene. Solr has been powering large-scale web and enterprise applications across industries such as retail, financial services, healthcare, and more. Its features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, and rich document handling. Apache Solr’s distributed deployment comes with […]

Amazon Managed Grafana is a fully managed and secure data visualization service for open source Grafana that enables customers to instantly query, correlate, and visualize operational metrics, logs, and traces for their applications from multiple data sources. Amazon Managed Grafana integrates with multiple Amazon Web Services (AWS) security services, and supports AWS Single Sign-On (AWS […]

Digitization in the healthcare industry, led by electronic health record (EHR) system adoption, has positively impacted the workflow of healthcare professionals (HCP) and patient care. Now EHR systems are a critical tool in healthcare delivery. The design and functionality of a good EHR system closely follows the overall healthcare system design. In his book The […]

Bottlerocket is an open source Linux-based operating system from Amazon that was purpose built for running containers with a strong emphasis on security. The result is an operating system that comes with a variety of built-in controls for creating a secure environment for running containerized workloads. In this post, we’ll explore several of the security […]

Machine learning (ML) algorithms are widely used for computer vision (CV) applications, such as image classification, object detection, and semantic segmentation. With the latest development of the Industrial Internet of Things (IIoT), ML algorithms can be directly implemented at the edge device to process image data and perform anomaly detection, such as for product quality […]

The AWS IoT Device SDK for Embedded C (C-SDK) is composed of a set of MIT-licensed libraries that demonstrate simplified, lightweight, and secure connectivity to AWS IoT Core and device-side operations to AWS IoT services. The AWS IoT C-SDK can work on a variety of operating systems, such as Linux, macOS, and Windows, or a […]

This post was written by Josiah Davis, Yin Song, and Anne Hu. The solution can also be found on GitHub. Many professional data scientists are adopting open source software development tools such as Vim, tmux, and Zsh to get more productivity out of their working environment. Vim is a free and open source, highly configurable […]

This post was written by Jason Coffman, Gaurav Dhamija, Vikrant Kahlir, Nima Kaviani, Brandon Leach, Shyam Maniyedath, and Shrirang Moghe. Spinnaker is an open source continuous delivery platform that allows for fast-paced, reliable, and repeatable deployment of software to the cloud. For many AWS customers, including Airbnb, Pinterest, Snap, Autodesk, and Salesforce, Spinnaker is a critical piece of technology that […]

This article demonstrates an approach for running Selenium tests at scale for low cost by utilizing AWS Fargate Spot to run tests without having to manage and orchestrate their containers. Selenium framework Integration tests, as defined by Martin Fowler, “determine if independently developed units of software work correctly when they are connected to each other.” […]