4/15/2025, 12:00:00 AM ~ 4/16/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon EventBridge Connector for Apache Kafka Connect now generally available
The Amazon EventBridge connector for Apache Kafka Connect is now generally available. This open-source connector streamlines event integration of Kafka environments with dozens of AWS services and partner integrations without writing custom integration code or running multiple connectors for each target. The connector includes built-in support for Kafka schema registries, offloading large event payloads to S3, and IAM role-based authentication, and is available under the Apache 2.0 license in the AWS GitHub organization.\n Amazon EventBridge is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. With the EventBridge Connector for Apache Kafka Connect, customers can leverage advanced features such as dynamic event filtering, transformation, and scalable routing through a unified connector in Kafka environments. The connector simplifies event routing from Kafka to AWS targets, custom applications and third-party SaaS services. Organizations can deploy the connector on any Apache Kafka Connect installation, including Amazon Managed Streaming for Kafka (MSK) Connect. This feature is available in all AWS Regions, including AWS GovCloud (US). To get started, download the latest release from GitHub, configure it in your Kafka Connect environment, and refer to our developer documentation for detailed implementation guidance. Amazon MSK users can find specific instructions in the MSK Connect developer guide.
Amazon EC2 M8g instances now available in additional AWS regions
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Asia Pacific (Tokyo, Sydney) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.\n AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
Amazon Corretto April 2025 Quarterly Updates
On Apr 15, 2025 Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Supported (LTS) and Feature Release (FR) versions of OpenJDK. Corretto 24.0.1, 21.0.7, 17.0.15, 11.0.27, 8u452 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK.\n Click on the Corretto home page to download Corretto 8, Corretto 11, Corretto 17, Corretto 21, or Corretto 24. You can also get the updates on your Linux system by configuring a Corretto Apt or Yum repo. Feedback is welcomed!
AWS Batch now supports Amazon Elastic Container Service Exec and AWS FireLens log router
AWS Batch now supports Amazon Elastic Container Service (ECS) Exec and AWS FireLens log router for AWS Batch on Amazon ECS and AWS Fargate. With ECS Exec you can track the progress of your application and troubleshoot issue by by running interactive commands against the containers in your AWS Batch job. AWS FireLens allows you to stream logs of your AWS Batch jobs to your chosen destinations including Amazon CloudWatch, Amazon S3, Amazon OpenSearch Service, Amazon Redshift, partner services such as Splunk and more.\n You can configure ECS Exec and AWS FireLens while registering a new AWS Batch job definition or making a revision to an existing job definition. For more information, see Register Job Definition page in the AWS Batch API reference and Amazon ECS Developer Guide for ECS Exec and AWS FireLense. AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. ECS Exec and AWS FireLens are supported in any AWS Region where AWS Batch is available.
Amazon EC2 C8g instances now available in additional regions
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Asia Pacific (Sydney), AWS Europe (London), AWS US West (N. California), and AWS South America (Sao Paulo) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.\n AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. To learn more, see Amazon EC2 C8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
YouTube
AWS Developer Live Show (Japanese)
AWS Blogs
AWS Japan Blog (Japanese)
- Enable Amazon Bedrock cross-region inference in a multi-account environment
- [Event Report & Material Release] Coding Agent at Loft #1 ~ Experience Explosive Development Hands-on with Cline with Amazon Bedrock ~
Containers
AWS Database Blog
AWS HPC Blog
AWS for Industries
The Internet of Things on AWS – Official Blog
- Seamless migration: Securely transitioning large IoT fleets to AWS
- AWS IoT Greengrass nucleus lite – Revolutionizing edge computing on resource-constrained devices
AWS Machine Learning Blog
- Clario enhances the quality of the clinical trial documentation process with Amazon Bedrock
- Optimizing Mixtral 8x7B on Amazon SageMaker with AWS Inferentia2
- Elevate business productivity with Amazon Q and Amazon Connect