Category: Architecture

The global retail market continues to grow larger and the influx of consumer data increases daily. The rise in volume, variety, and velocity of data poses challenges with demand forecasting and inventory planning. Outdated systems generate inaccurate demand forecasts. This results in multiple challenges for retailers. They are faced with over-stocking and lost sales, and […]

Organizations with online businesses have to be on guard constantly for fraudulent activity, such as fake accounts or payments made with stolen credit cards. One way they try to identify fraudsters is by using fraud detection applications. Some of these applications use machine learning (ML). A common challenge with ML is the need for a […]

This post was co-written with Anusha Dharmalingam, former AWS Solutions Architect. Must your Amazon Web Services (AWS) application connect to Amazon Simple Storage Service (Amazon S3) buckets? Must the connection scale to accommodate bandwidth demands? AWS offers a mechanism called VPC endpoint to meet these requirements. This blog post provides guidance for selecting the right […]

This post was co-written by Winn Oo and Brendan Byam of CohnReznick and Rajeswari Malladi and Shanthan Kesharaju CohnReznick is a leading advisory, assurance, and tax firm serving clients around the world. CohnReznick’s government and public sector practice provides claims audit and verification services for state agencies. This process begins with recipients submitting documentation as […]

“It is not the strongest of the species that survives, nor the most intelligent. It is the one that is most adaptable to change.” – often attributed to Charles Darwin One common strategy for businesses that operate in dynamic market conditions (and thus need to continuously correct their course) is to aim for smaller, independent […]

You want to start quickly when doing deep learning using GPU-activated Elastic Compute Cloud (Amazon EC2) instances in the AWS Cloud. Although AWS provides end-to-end machine learning (ML) in Amazon SageMaker, working at the deep learning frameworks level, the quickest way to start is with AWS Deep Learning AMIs (DLAMIs), which provide preconfigured Conda environments for […]

Organizations are re-architecting their traditional monolithic applications to incorporate microservices. This helps them gain agility and scalability and accelerate time-to-market for new features. Each microservice performs a single function. However, a microservice might need to retrieve and process data from multiple disparate sources. These can include data stores, legacy systems, or other shared services deployed […]

As a manufacturing enterprise, maximizing your operational efficiency and optimizing output are critical in a competitive global market. Global black swan events such as COVID-19 have necessitated the ability to monitor remotely and respond to issues actively, on the factory floor. Amazon Virtual Andon (AVA) is a digital notification system that helps factory personnel raise, […]

“Everything fails all the time” Werner Vogels, AWS CTO In 2010, Netflix introduced a tool called “Chaos Monkey”, that was used for introducing faults in a production environment. Chaos Monkey led to the birth of Chaos engineering where teams test their live applications by purposefully injecting faults. Observations are then used to take corrective action and […]

This post was co-written by Mithil Prasad, AWS Senior Customer Solutions Manager, Patrick Gryczka, AWS Solutions Architect, Ben Burdsall, CTO at Sportradar and Justin Shreve, Director of Engineering at Sportradar.  Ransomware is a type of malware which encrypts data, effectively locking those affected by it out of their own data and requesting a payment to […]