AWS Developer Tools Blog

Category: AWS SDK for Java

Using atomic counters in the Enhanced DynamoDB AWS SDK for Java 2.x client

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 […]

TLS 1.3 Incompatibility with AWS SDK for Java versions 1.9.5 to 1.10.31

AWS works to ensure that your Java applications connect using the most modern encryption protocols that provide performance and security advances. This includes Transport Layer Security (TLS) version 1.3, which we are actively adding support for in all of our services. This blog is to notify you that older versions of the AWS SDK for […]

Introducing Smart Configuration Defaults in the AWS SDK for Java v2

The default configuration in the AWS SDK for Java v2 just got smarter! We are pleased to announce a new SDK feature —⁠ smart configuration defaults in the AWS SDK for Java v2 (version 2.17.102 or later), which vends a set of predefined sensible default values tailored to common usage patterns. With this new opt-in […]

AWS Batch Application Orchestration using AWS Fargate

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 […]

Introducing Amazon S3 Transfer Manager in the AWS SDK for Java 2.x

We are pleased to announce the Developer Preview release of the Amazon S3 Transfer Manager – a high level file transfer utility for the Amazon Simple Storage Service (Amazon S3) in the AWS SDK for Java 2.x. Using Transfer Manager’s simple API, you can now perform accelerated uploads and downloads of objects to and from […]

The AWS SDK for Java 2.17 removes its external dependency on Jackson

We have released the AWS SDK for Java 2.17, which removes the SDK’s external dependency on the popular third-party JSON library, Jackson. This means that AWS SDK for Java 2.x no longer requires an external copy of Jackson-databind, Jackson-core, or Jackson-dataformat-cbor in order to function. This release does not change any of the public AWS […]

Building an Apache Kafka data processing Java application using the AWS CDK - featured image

Building an Apache Kafka data processing Java application using the AWS CDK

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 […]

The AWS SDK for Java version 1.12 upgrades its dependency on Jackson

We are raising the minor version of AWS SDK for Java from 1.11 to 1.12 in order to upgrade the SDK’s dependency on the popular third-party JSON library, Jackson. This release does not change any of the AWS SDK APIs. Even though there are some backwards-incompatible changes in Jackson APIs, it should be a straight-forward […]

GraalVM Native Image Support in the AWS SDK for Java 2.x

We are excited to announce that AWS SDK for Java 2.x (version 2.16.1 or later) now has out-of-the-box support for GraalVM Native Image compilation. GraalVM is a universal virtual machine that supports JVM-based languages (e.g. Java, Scala, Kotlin), dynamic languages (e.g. Python, JavaScript), and LLVM-based languages (e.g. C, C++). GraalVM Native Image is one of […]

Provision AWS infrastructure using Terraform (By HashiCorp): an example of running Amazon ECS tasks on AWS Fargate

AWS Fargate is a a serverless compute engine that supports several common container use cases, like running micro-services architecture applications, batch processing, machine learning applications, and migrating on premise applications to the cloud without having to manage servers or clusters of Amazon EC2 instances. AWS customers have a choice of fully managed container services, including […]