AWS for Industries

Category: Amazon CloudWatch

Recommended Patterns for onboarding SaaS applications - Part 1

Recommended Patterns for onboarding SaaS applications – Part 1

Connecting all the right software as a service (SaaS) providers using well-established private, secure and resilient integration patterns can seem overwhelming. The SaaS model of deployment can help organizations reduce undifferentiated heavy lifting to manage the vendor’s application, software tools and hardware infrastructure—resulting in an improvement in operational efficiency and business agility. We, at Amazon […]

Low latency cloud-native exchanges feature card

Low latency cloud-native exchanges

Large capital market infrastructure providers (specifically exchanges) around the world use the cloud to accelerate their innovation and modernization journey. Trading workloads present unique challenges, including low latency responses, low jitter network performance, and ensuring fairness. With different services and features, Amazon Web Services (AWS) enable exchanges to develop use cases built with cloud-native services […]

iFood modernizes its financial middleware to event-driven architecture feature card

iFood modernizes its financial middleware to event-driven architecture

The iFood finance department originally used a monolithic application, which was slow to develop new functionalities. Switching to an event-oriented architecture not only accelerated development but also added resilience and performance to its financial middleware. The iFood finance department has a platform called Digital by You (DBY) that helps food lovers (approximately 100,000 iFood employees) […]

Figure 1 Technical Architecture Overview

A Cloud-Native Environment for Distributed Automotive Software Development

Car drivers have become users that expect new and updatable features and a digital user experience in addition to driving comfort and safety. OEMs are thus committed to lay the foundations for faster innovation through a concept called Software-Defined Vehicle (SDV). This blog post demonstrates an example of how ETAS and AWS collaborate on cloud-native […]

Using Cloud Technology to Better Protect Power Grids from Physical Threats

When was the last time you thought about how the power stays on? Probably not since you lost power in a storm. We take it for granted that the electricity and natural gas will flow. In today’s world, electricity and gas are a core foundation of the economy and of society, making energy one of […]

Figure 1 How Amazon Rekognition Face liveness works

FSI Services Spotlight: Featuring Amazon Rekognition

Welcome to the Financial Services Industry (FSI) Service Spotlight monthly blog series. Each month, we look at five key considerations that FSI customers should focus on to help streamline cloud service approval for one particular service. Each of the five key considerations includes specific guidance, suggested reference architectures, and technical code that can be used […]

AWS Private Certificate Authority

In this edition of the Financial Services Industry (FSI) Services Spotlight monthly blog series, we highlight five key considerations of AWS Private Certificate Authority (AWS Private CA): achieving compliance, data protection, isolation of compute environments, automating audits with APIs, and operational access and security respectively. Each of the five areas includes specific guidance, suggested reference architectures, and technical […]

advertising and marketing recap feature card

Top re:Invent 2022 takeaways for the advertising and marketing technology industry

There were a large number of new service announcements as well as partner and solution announcements that came out of AWS re:Invent 2022. To make it easy for advertising and marketing technology customers, we have identified a list of top announcements specific to this industry. Session summaries and access details to content on demand is […]

Existing Warranty Claim Analysis Process_Figure 2

How Machine Learning on AWS can help customers predict the risk of Automotive Part Recalls

This blog focuses on a potential method to use Long Short Term Memory (LSTM) machine learning models to help customers predict parts that are likely to become defects or recalls. Specifically, we show how predictions generated from an LSTM may provide customers with early indicators that generally out-perform existing manual processes and can help assist […]

Power Trading Corporation of India uses Amazon Forecast for day-ahead and intraday electricity demand forecasting

Introduction The purpose of this blog is to demonstrate one method of how effortlessly you can automate the data extraction, transformation, and building of an accurate power-demand forecasting pipeline using Amazon Web Services (AWS) services, such as Amazon Forecast, a time-series forecasting service based on machine learning (ML). This blog describes how Power Trading Corporation […]