AWS Architecture Blog

Category: Amazon DynamoDB

Figure 1 - Architecture diagram showing Serverless Scheduling with Amazon EventBridge, AWS Lambda, and Amazon DynamoDB

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 […]

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Figure 6. Using Step Functions as workflow state manager

Migrating a Database Workflow to Modernized AWS Workflow Services

The relational database is a critical resource in application architecture. Enterprise organizations often use relational database management systems (RDBMS) to provide embedded workflow state management. But this can present problems, such as inefficient use of data storage and compute resources, performance issues, and decreased agility. Add to this the responsibility of managing workflow states through […]

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Figure 6. IoT Device Simulator architecture

Optimize your IoT Services for Scale with IoT Device Simulator

The IoT (Internet of Things) has accelerated digital transformation for many industries. Companies can now offer smarter home devices, remote patient monitoring, connected and autonomous vehicles, smart consumer devices, and many more products. The enormous volume of data emitted from IoT devices can be used to improve performance, efficiency, and develop new service and business […]

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Figure 1. Architecture for batch inference at scale with Amazon SageMaker

Batch Inference at Scale with Amazon SageMaker

Running machine learning (ML) inference on large datasets is a challenge faced by many companies. There are several approaches and architecture patterns to help you tackle this problem. But no single solution may deliver the desired results for efficiency and cost effectiveness. In this blog post, we will outline a few factors that can help […]

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Amazon RDS data transfer

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 […]

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Figure 4. AWS Proton deploys service into multi-account environment through standardized continuous delivery pipeline

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 […]

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Figure 8. Architecture diagram of entire data collection and classification process

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. […]

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Event sourcing architecture

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 […]

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Figure 4. Machine to Cloud Connectivity (M2C2) Framework architecture

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 […]

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Figure 1. OR optimization options

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 […]

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