AWS Architecture Blog
Category: Technical How-to
Detecting solar panel damage with Amazon Rekognition Custom Labels
Enterprises perform quality control to ensure products meet production standards and avoid potential brand reputation damage. As the cost of sensors decreases and connectivity increases, industries adopt real-time imagery analysis to detect quality issues. At the same time, artificial intelligence (AI) advancements enable advanced automation, reduce overall cost and project time, and produce accurate defect […]
Extend SQL Server DR using log shipping for SQL Server FCI with Amazon FSx for Windows configuration
For International Women’s Day and Women’s History Month, we’re featuring more than a week’s worth of posts that highlight female builders and leaders. We’re showcasing women in the industry who are building, creating, and, above all, inspiring, empowering, and encouraging everyone—especially women and girls—in tech. Companies choosing to rehost their on-premises SQL Server workloads to […]
Avoid affecting your production environment during migration with AWS Application Migration Service
Customers commonly use AWS Application Migration Service to migrate Active Directory joined Windows or Linux servers to Amazon Web Services (AWS). However, this process can affect the production environment during testing. For example, if you update DNS addresses during testing, clients that try to reach the original server will be redirected to the testing server. […]
How UnitedHealth Group Improved Disaster Recovery for Machine-to-Machine Authentication
This blog post was co-authored by Vinodh Kumar Rathnasabapathy, Senior Manager of Software Engineering, UnitedHealth Group. Engineers who use Amazon Cognito for machine-to-machine authentication select a primary Region where they deploy their application infrastructure and the Amazon Cognito authorization endpoint. Amazon Cognito is a highly available service in single Region deployments with a published service-level […]
Detect Real-Time Anomalies and Failures in Industrial Processes Using Apache Flink
For a long time, industrial control systems were the heart of the manufacturing process which allows collecting, processing, and acting on data from the shop floor. Process manufacturers used a distributed control system (DCS) to do the automated control and operation of an industrial process or plant. With the convergence of operational technology and information […]
Optimize Cost by Automating the Start/Stop of Resources in Non-Production Environments
Co-authored with Nirmal Tomar, Principal Consultant, Infosys Technologies Ltd. Ease of creating on-demand resources on AWS can sometimes lead to over-provisioning or under-utilization of AWS resources like Amazon EC2 and Amazon RDS. This can lead to higher costs that can often be avoided with proper planning and monitoring. Non-critical environments, like development and test are […]
Ingesting Automotive Sensor Data using DXC RoboticDrive Ingestor on AWS
This post was co-written by Pawel Kowalski, a Technical Product Manager for DXC RoboticDrive and Dr. Max Böhm, a software and systems architect and DXC Distinguished Engineer. To build the first fully autonomous vehicle, L5 standard per SAE, auto-manufacturers collected sensor data from test vehicle fleets across the globe in their testing facilities and driving […]
Serverless Scheduling with Amazon EventBridge, AWS Lambda, and Amazon DynamoDB
Many applications perform scheduled tasks. For instance, you might want to automatically publish an article at a given time, change prices for offers which were defined weeks in advance, or notify customers 8 hours before a flight. These might be one-off tasks, or recurring ones. On Unix-like operating systems, you might have opted for the […]
Field Notes: Building an Industrial Data Platform to Gather Insights from Operational Data
Co-authored with Russell de Pina, former Sr. Partner Solutions Architect at AWS Manufacturers looking to achieve greater operational efficiency need actionable insights from their operational data. Traditionally, operational technology (OT) and enterprise information technology (IT) existed in silos with various manual processes to clean and process data. Leveraging insights at a process level requires converging […]
Field Notes: Building a Data Service for Autonomous Driving Systems Development using Amazon EKS
Many aspects of autonomous driving (AD) system development are based on data that capture real-life driving scenarios. Therefore, research and development professionals working on AD systems need to handle an ever-changing array of interesting datasets composed from the real-life driving data. In this blog post, we address a key problem in AD system development, which […]