1/6/2023, 12:00:00 AM ~ 1/9/2023, 12:00:00 AM (UTC)

Recent Announcements

Introducing Amazon EMR Serverless Custom images: Bring your own libraries and application dependencies

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Today, we are excited to announce that EMR Serverless now allows you to customize images for Apache Spark and Hive. This means that you can package application dependencies or custom code in the image, simplifying running Spark and Hive workloads.

Amazon EC2 Auto Scaling now forecasts frequently for more accurate predictive scaling

Amazon EC2 Auto Scaling now produces predictive scaling policy forecasts 4x per day, up from 1x per day prior to now. Reducing our forecast interval from 24 hours to 6 hours produces more accurate predictive scaling policies that quickly adapt to changing demand trends. All customers will benefit from this new default for predictive scaling. Customers use predictive scaling policies to scale out the capacity of their Auto Scaling groups based on forecasted demand, improving application availability, and alleviating the need for costly capacity buffers to accommodate spikes in demand.

AWS App Runner now supports retrieving secrets and configuration from AWS Secrets Manager and AWS Systems Manager

AWS App Runner now supports retrieving secrets and configuration data stored in AWS Secrets Manager and AWS Systems Manager (SSM) Parameter Store in an App Runner service as runtime environment variables. App Runner makes it easier for developers to quickly deploy containerized web applications and APIs to the cloud, at scale, and without managing infrastructure. Many web applications and APIs access sensitive information such as database credentials and API keys to connect to downstream systems. Some developers prefer to decouple the management of sensitive information from application code to improve code re-usability and reduce operational overhead of updating and re-building application code to update secrets and configuration data. Now, you can securely reference secrets and configuration data stored in Secrets Manager and SSM Parameter Store as runtime environment variables in your App Runner service. This allows you to manage your sensitive information separate from the application code and service configuration, helping you enhance the security posture of applications running on App Runner.

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