AWS News Blog

AWS New York Summit 2019 – Summary of Launches & Announcements

The AWS New York Summit just wrapped up! Here’s a quick summary of what we launched and announced:

Amazon EventBridge – This new service builds on the event-processing model that forms the basis for Amazon CloudWatch Events, and makes it easy for you to integrate your AWS applications with SaaS applications such as Zendesk, Datadog, SugarCRM, and Onelogin. Read my blog post, Amazon EventBridge – Event-Driven AWS Integration for your SaaS Applications, to learn more.

Werner announces EventBridge – Photo by Serena

Cloud Development Kit – CDK is now generally available, with support for TypeScript and Python. Read Danilo‘s post, AWS Cloud Development Kit (CDK) – TypeScript and Python are Now Generally Available, to learn more.

Fluent Bit Plugins for AWSFluent Bit is a multi-platform, open source log processor and forwarder that is compatible with Docker and Kubernetes environments. You can now build a container image that includes new Fluent Bit plugins for Amazon CloudWatch and Amazon Kinesis Data Firehose. The plugins routes logs to CloudWatch, Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service. Read Centralized Container Logging with Fluent Bit to learn more.


Nicki, Randall, Robert, and Steve – Photo by Deepak

AWS Toolkit for VS Code – This toolkit lets you develop and test locally (including step-through debugging) in a Lambda-like environment, and then deploy to the AWS Region of your choice. You can invoke Lambda functions locally or remotely, with full control of the function configuration, including the event payload and environment variables. To learn more, read Announcing AWS Toolkit for Visual Studio Code.

Amazon CloudWatch Container Insights (preview) – You can now create CloudWatch Dashboards that monitor the performance and health of your Amazon ECS and AWS Fargate clusters, tasks, containers, and services. Read Using Container Insights to learn more.

CloudWatch Anomaly Detection (preview) – This cool addition to CloudWatch uses machine learning to continuously analyze system and application metrics, determine a nominal baseline, and surface anomalies, all without user intervention. It adapts to trends, and helps to identity unexpected changes in performance or behavior. Read the CloudWatch Anomaly Detection documentation to learn more.

Amazon SageMaker Managed Spot Training (coming soon) – You will soon be able to use Amazon EC2 Spot to lower the cost of training your machine learning models. This upcoming enhancement to SageMaker will lower your training costs by up to 80%, and can be used in conjunction with Automatic Model Training.

Jeff;

 

Jeff Barr

Jeff Barr

Jeff Barr is Chief Evangelist for AWS. He started this blog in 2004 and has been writing posts just about non-stop ever since.