Category: Amazon DynamoDB

We’re excited to announce the Developer Preview of DynamoDB Mapper for Kotlin. This high-level library provides streamlined, idiomatic ways for developers to map data between their business logic written in Kotlin and their tables in DynamoDB. DynamoDB Mapper works with most Kotlin data classes right out of the box and also offers powerful features for […]

The AWS SDK for .NET includes the Document and Object Persistence programming models, which provide an idiomatic .NET experience for working with Amazon DynamoDB. Beginning in AWSSDK.DynamoDBv2 3.7.203, there are new ways to initialize the document and object persistence models which can improve your application’s performance by reducing thread contention and throttling issues during the first call to DynamoDB. […]

We are pleased to announce that users of the enhanced client for Amazon DynamoDB in AWS SDK for Java 2.x can now enable atomic counters, as well as add custom DynamoDB update expressions through the enhanced client extension framework. Customers have told us that they want improved performance and consistency when updating table records. The […]

Many customers prefer to use Docker images with AWS Batch and AWS Cloudformation for cost-effective and faster processing of complex jobs. To run batch workloads in the cloud, customers have to consider various orchestration needs, such as queueing workloads, submitting to a compute resource, prioritizing jobs, handling dependencies and retries, scaling compute, and tracking utilization […]

September 22, 2022: Migrated the reference application to AWS CDK v2. Renamed deployment.py to backend/component.py to support multi-component use cases and better emphasize the mapping of AWS Well-Architected Framework component terminology. Renamed pipeline.py to toolchain.py to expand the scope to any tools related to component’s software development life cycle (e.g. continuous deployment pipeline, pull request […]

Building an Apache Kafka data processing Java application using the AWS CDK Piotr Chotkowski, Cloud Application Development Consultant, AWS Professional Services Using a Java application to process data queued in Apache Kafka is a common use case across many industries. Event-driven and microservices architectures, for example, often rely on Apache Kafka for data streaming and […]

We are pleased to announce that the enhanced DynamoDB client in the AWS SDK for Java 2.x now supports the mapping of immutable Java objects directly with records in your DynamoDB tables. Previously, only mutable ‘Java bean’ style objects were supported. Immutability in Java is a commonly used style that allows developers to create classes […]

Many web and mobile applications can make use of AWS services and infrastructure to log or ingest data from customer actions and behaviors on the websites or mobile apps, to provide recommendations for better user experience. There are several ‘infrastructure as code’ frameworks available today, to help customers define their infrastructure, such as the AWS […]

In many real work applications, you can use custom Docker images with AWS Batch and AWS Cloud Development Kit(CDK) to execute complex jobs efficiently. AWS CDK is an open source software development framework to model and provision your cloud application resources using familiar programming languages, including TypeScript, JavaScript, Python, C# and Java. For the solution […]

In this blog, we will build a simple service based on Amazon API Gateway and AWS Lambda for managing users in Amazon DynamoDB table. I will be using AWS Cloud Development Kit (AWS CDK) and AWS Chalice frameworks to develop both infrastructure and application logic as code. There is some overlap between CDK and Chalice […]