Category: Database

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. […]

Increasingly enterprises and customers run and manage applications at a global scale that need to be resilient and highly available. In order to deliver the best possible experience to their end consumers, these applications need to safeguard against risks of service disruptions and downtime. Risks due to service downtime, due to natural disasters, hardware failures, […]

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 […]

In this blog we show you how to build a Microsoft.NET Web API application with Amazon Aurora Database using AWS App Runner. AWS App Runner makes it easy for developers to quickly deploy containerized web applications and APIs, and helps us start with our source code or a container image. Container workload management tasks, such […]

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 […]

In this blog, we will leverage the development capabilities of the CDK for Kubernetes framework also known as cdk8s along with the AWS Cloud Development Kit (AWS CDK) framework to provision infrastructure through AWS CloudFormation. cdk8s allows us to define Kubernetes apps and components using familiar languages. cdk8s is an open-source software development framework for defining Kubernetes applications and […]

The AWS Toolkit for JetBrains is a plugin for JetBrains’s IDEs that makes it easier to develop applications for AWS. Features include debugging Lambda functions locally, browsing S3 buckets, and viewing CloudWatch Logs. Recently, we announced a new feature to connect to databases instances without leaving your IDE. As of version 1.19 of the Toolkit, […]