amazon-emr

5/27/2026, 12:00:00 AM ~ 5/28/2026, 12:00:00 AM (UTC) Recent Announcements SageMaker Notebook Instances now support P5.4xl instance types We are pleased to announce general availability of Amazon EC2 P5.4xl instances on SageMaker notebook instances.\n Amazon EC2 P5.4xl instances are powered by NVIDIA H100 Tensor Core GPUs and deliver high performance in Amazon EC2 for deep learning (DL) and high performance computing (HPC) applications. They help you accelerate your time to solution by up to 4x compared to previous-generation GPU-based EC2 instances, and reduce cost to train ML models by up to 40%....

5/15/2026, 12:00:00 AM ~ 5/18/2026, 12:00:00 AM (UTC) Recent Announcements Amazon CloudWatch Logs announces increased query result limits Amazon CloudWatch Logs now supports retrieving up to 100,000 results using the Logs Insights query language. Customers can specify the limit in their query using the LIMIT command.\n Previously, customers were limited to 10,000 results and had to split their queries into smaller time ranges to retrieve all results. With this launch, customers can view a larger set of results and use existing features such as patterns, visualization, and export on the full 100,000 result set....

4/29/2026, 12:00:00 AM ~ 4/30/2026, 12:00:00 AM (UTC) Recent Announcements Amazon RDS for MySQL announces Innovation Release 9.6 in Amazon RDS Database Preview Environment Amazon RDS for MySQL now supports community MySQL Innovation Release 9.6 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.6 in the Amazon RDS Database Preview Environment which provides the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases....

4/3/2026, 12:00:00 AM ~ 4/6/2026, 12:00:00 AM (UTC) Recent Announcements Apache Spark troubleshooting and upgrade agents now available as Kiro powers The Apache Spark troubleshooting agent and upgrade agent for Amazon EMR are now available as Kiro powers, bringing one-click access to AI-assisted Spark operations directly in Kiro. With these powers, data engineers can reduce troubleshooting time from hours to minutes and compress Spark version upgrades from months to weeks.\n When a Spark job fails, the troubleshooting power identifies the root cause by analyzing logs, metrics, and configurations across EMR on EC2 and EMR Serverless, and provides specific code recommendations for PySpark applications....

1/21/2026, 12:00:00 AM ~ 1/22/2026, 12:00:00 AM (UTC) Recent Announcements Amazon SageMaker HyperPod introduces enhanced lifecycle scripts debugging Amazon SageMaker HyperPod now provides enhanced troubleshooting capabilities for lifecycle scripts, making it easier to identify and resolve issues during cluster node provisioning. SageMaker HyperPod helps you provision resilient clusters for running AI/ML workloads and developing state-of-the-art models such as large language models (LLMs), diffusion models, and foundation models (FMs).\n When lifecycle scripts encounter issues during cluster creation or node operations, you now receive detailed error messages that include the specific CloudWatch log group and log stream names where you can find execution logs for lifecycle scripts....