Tag: Amazon ECR

AWS provides a secure, reliable, and scalable environment for customers to run their container workloads. Customers running containers on premises are looking to move to AWS to gain agility benefits and reduce technical debt of managing their own infrastructure. Learn how Tech Mahindra transitioned a customer from an on-premises self-managed Kubernetes environment to a managed Amazon EKS platform with centralized self-service deployment options using AWS Service Catalog.

Infosys Digital Health Platform is a connected health platform powered by AWS and is designed to help patients lead a healthy life. It achieves this through regular and in-depth insights on a patient’s daily habits and streaming of vital health parameters from different connected devices. It also tracks symptoms and quality-of-life indicators. With this information, the platform analyses data for multiple therapeutic areas and provides necessary insights.

Learn how to build a Java application in a Docker container and push the container image to Amazon ECR orchestrated by AWS CodePipeline. We’ll use Snyk to scan your code, build a container image, and display the results in both Snyk and Amazon ECR. We’ll also show you how Amazon Inspector utilizes Snyk open source to provide insight into your software security vulnerabilities. All of this functionality is available from the AWS Management Console.

Deploying machine learning (ML) models as a packaged container with hardware-optimized acceleration, without compromising accuracy and while being financially feasible, can be challenging. As machine learning models become the brains of modern applications, developers need a simpler way to deploy trained ML models to live endpoints for inference. This post explores how a ML engineer can take a trained model, optimize and containerize the model using OctoML CLI, and deploy it to Amazon EKS.

As a long-standing partner of automotive and life science companies, the Atos Science + Computing Unit specializes in providing customers with tailor-made and demand-driven HPC solutions. Learn about two hybrid HPC deployments that are transparently integrated with the traditional workload manager that controls existing on-premises HPC resources, and how they are distinguished by entirely different approaches.

Running genomics and high performance computing (HPC) workloads is complicated. To address these customer asks, Relevance Lab developed Research Gateway—a solution that delivers secure and scalable research without customers having to do the heavy lifting. This post provides an overview of the solution architecture and standard genomic research workflow, including a walkthrough of how to access Research Gateway, provision products required for their genomics sequencing analysis, and run the analysis.

Looking for qualified support for a parent is a hard task and often a leap in the dark. Parentsmile is a unique reservation platform that integrates healthcare, training, educational, and all-encompassing psychophysical well-being services. This post demonstrates how ZERO12 built Parentsmile’s SaaS platform; exploring the main infrastructure with Amazon Elastic Container Service (Amazon ECS), the continuous integration and continuous delivery (CI/CD) process, and the asynchronous workflow for payments and reminders.

There is a growing need for automotive dealers to adopt innovative technology to transition into the digital era smoothly, as customers are leaning towards secure, cloud-native solutions with modern features that are backed by superior support. Learn how Tech Mahindra transformed a monolithic application into a resilient and reliable solution to support expanding dealer networks. To build this cloud-native transformation approach, Tech Mahindra used AWS and a microservices-based API-first architecture.

The restaurant industry is experiencing an unprecedented transformational change. Elevated expectations for cleanliness, health, and safety are accelerating the adoption of contactless technologies, curbside pickup options, and mobile payments. Learn how Capgemini’s Digital Cloud Platform (DCP) for Restaurants empowers the industry to reimagine digital transformation by delivering compelling customer interaction and streamlined operations while reducing costs and improving efficiency.

Organizations hosting customer-specific machine learning models on AWS have unique isolation and performance requirements and require a solution that provides a scalable, high-performance, and feature-rich ML platform. Learn how Amazon SageMaker Pipelines helps you to pre-process data, build, train, tune, and register ML models in SaaS applications. We’ll focus on best practices for building tenant-specific ML models with particular focus on tenant isolation and cost attribution.