AWS Architecture Blog
Category: Amazon DynamoDB
Exploring Data Transfer Costs for AWS Managed Databases
When selecting managed database services in AWS, it’s important to understand how data transfer charges are calculated – whether it’s relational, key-value, document, in-memory, graph, time series, wide column, or ledger. This blog will outline the data transfer charges for several AWS managed database offerings to help you choose the most cost-effective setup for your […]
Simplifying Multi-account CI/CD Deployments using AWS Proton
Many large enterprises, startups, and public sector entities maintain different deployment environments within multiple Amazon Web Services (AWS) accounts to securely develop, test, and deploy their applications. Maintaining separate AWS accounts for different deployment stages is a standard practice for organizations. It helps developers limit the blast radius in case of failure when deploying updates […]
Serverless Architecture for a Structured Data Mining Solution
Many businesses have an essential need for structured data stored in their own database for business operations and offerings. For example, a company that produces electronics may want to store a structured dataset of parts. This requires the following properties: color, weight, connector type, and more. This data may already be available from external sources. […]
How The Mill Adventure Implemented Event Sourcing at Scale Using DynamoDB
This post was co-written by Joao Dias, Chief Architect at The Mill Adventure and Uri Segev, Principal Serverless Solutions Architect at AWS The Mill Adventure provides a complete gaming platform, including licenses and operations, for rapid deployment and success in online gaming. It underpins every aspect of the process so that you can focus on […]
Securely Ingest Industrial Data to AWS via Machine to Cloud Solution
As a manufacturing enterprise, maximizing your operational efficiency and optimizing output are critical factors in this competitive global market. However, many manufacturers are unable to frequently collect data, link data together, and generate insights to help them optimize performance. Furthermore, decades of competing standards for connectivity have resulted in the lack of universal protocols to […]
Emerging Solutions for Operations Research on AWS
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Operations research (OR) uses mathematical and analytical tools to arrive at optimal solutions for complex business problems like workforce scheduling. The mathematical techniques used to solve these problems, such as linear programming and mixed-integer programming, require the use of optimization […]
Toyota Connected and AWS Design and Deliver Collision Assistance Application
This post was cowritten by Srikanth Kodali, Sr. IoT Data Architect at AWS, and Will Dombrowski, Sr. Data Engineer at Toyota Connected Toyota Connected North America (TC) is a technology/big data company that partners with Toyota Motor Corporation and Toyota Motor North America to develop products that aim to improve the driving experience for Toyota […]
Convert and Watermark Documents Automatically with Amazon S3 Object Lambda
When you provide access to a sensitive document to someone outside of your organization, you likely need to ensure that the document is read-only. In this case, your document should be associated with a specific user in case it is shared. For example, authors often embed user-specific watermarks into their ebooks. This way, if their […]
Middleware-assisted Zero-downtime Live Database Migration to AWS
When trying to figure out how to refactor your applications to leverage AWS Managed Services, you have some decisions to make. You may have decided to move your storage layer to AWS before the computational layer. This may help with using advanced database features, in addition to reducing costs associated with writing and reading data. […]
Address Modernization Tradeoffs with Lake House Architecture
Many organizations are modernizing their applications to reduce costs and become more efficient. They must adapt to modern application requirements that provide 24×7 global access. The ability to scale up or down quickly to meet demand and process a large volume of data is critical. This is challenging while maintaining strict performance and availability. For […]