Tag: Amazon S3

The traditional supply chain has a lot of inefficiencies and bottlenecks that can lead to losses and pilferage. Explore an architectural reference from Capgemini for an AWS solution called Trusted Logistics that can help solve these problems in the pharmaceutical industry. Trusted Logistics can be applied to multiple sectors like manufacturing, retail, consumer product, logistics, life sciences, and more. A decentralized ledger is accessible to all participants and transaction records become immutable once entered.

There is broad acceptance that AI and ML will help improve health outcomes for patients, and make healthcare more affordable. Data Science as a Service (DSaaS) from Change Healthcare is a secure, managed, healthcare data science platform that customers can leverage the embedded datasets and load their own datasets to be linked to deliver transformative and compliant insights. Learn how Change Healthcare built DSaaS to address the needs of practitioners developing AI/ML algorithms.

Businesses are faced with ever-increasing complexity of the systems they need to run in order to stay agile and competitive. The complexity can develop over time as new systems are integrated but old ones are not retired sufficiently fast. It can also develop intentionally, such as when a monolith is decomposed into microservices. In this post, learn how to build modern, event-driven serverless applications and how MongoDB Atlas and Realm products complement serverless architectures.

Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.

When you use Amazon S3 to store corporate data and host websites, you need additional logging to monitor access to your data and the performance of your applications. An effective logging solution enhances security and improves detection of security incidents. Learn how to use the Elastic Beats to extract logs stored in S3 buckets that can be indexed, analyzed, and visualized with the Elastic Stack. Elastic is an AWS ISV Partner that helps you find information, gain insights, and protect your data when you run on AWS.

AWS Amplify is a set of tools and services that can be used, together or on their own, to help frontend web and mobile developers build scalable full stack applications. With Amplify, you can configure app backends and connect your app in minutes, deploy static web apps in a few clicks, and easily manage app content outside the AWS Management Console. Learn how to add multi-factor authentication to a React Single-Page Application (SPA) using Auth0 and AWS Amplify.

AWS customers can start transforming their applications and moving towards microservices architecture by utilizing the VMware Cloud on AWS. Learn how to integrate VMware Cloud on AWS with Amazon EKS to accelerate application modernization. Amazon EKS provides a simplified and fully managed Kubernetes platform to effortlessly manage container workloads and deploy microservices-based applications, along with multiple flexible options to publish microservices externally.

Many organizations have core business and critical workloads running on Adabas and Natural in a mainframe environment. Customers are looking for ways to reduce cost, increase agility, and improve IT workforce productivity. For this purpose, Software AG provides products and services to deploy applications to AWS. Learn how Adabas and Natural applications can be deployed and modernized on AWS, and run in a resilient and scalable way to deliver high service quality and business value.

With hybrid implementations, we see a design pattern where customers configure connectivity to allow communication between on-premises and VMware Cloud on AWS networks. Customers use various methods such us a VPN and/or AWS Direct Connect to implement hybrid cloud connectivity. Learn how to leverage Direct Connect to establish hybrid connectivity between on-premises VMware infrastructure and VMware Cloud on AWS.

Running virtual machines with databases or datastores on VMware Cloud on AWS lets you use the same management tools and VMs as on your on-premises VMware vSphere environment. You can easily extend these workloads to the cloud and take advantage of AWS on-demand delivery, global footprint, elasticity, and scalability. Learn how VMware Cloud on AWS brings these datasets closer to AWS Analytics Services, making it easier to use services to draw meaningful insights from business data.