Aws new services 2018

Here are some of the new AWS services launched in 2018:

January 2018

  1. AWS Lake Formation: A service that makes it easier to set up a secure data lake by automating the discovery, cataloging, and securing of data.
  2. AWS Cloud9: A cloud-based integrated development environment (IDE) that allows developers to write, run, and debug code in a cloud-based environment.

February 2018

  1. AWS Step Functions: A service that makes it easier to coordinate the components of distributed applications and microservices.
  2. AWS CloudWatch Synthetics: A feature that allows users to create and manage synthetic users to simulate user interactions with their applications.

March 2018

  1. AWS Lake Formation: General availability of the service, which allows users to set up a secure data lake with minimal administrative effort.
  2. AWS CloudFront Functions: A feature that allows users to run small code snippets at the edge of the network to optimize content delivery.

April 2018

  1. AWS SageMaker Autopilot: A feature that allows data scientists to automate the process of building, training, and deploying machine learning models.
  2. AWS CloudWatch Logs Insights: A feature that allows users to query and analyze log data in real-time.

May 2018

  1. AWS Lambda Layers: A feature that allows users to package and deploy reusable code libraries with their AWS Lambda functions.
  2. AWS CloudFormation StackSets: A feature that allows users to manage and deploy infrastructure across multiple accounts and regions.

June 2018

  1. AWS CloudWatch X-Ray: A feature that allows users to analyze and debug distributed applications and microservices.
  2. AWS Lake Formation: Support for Amazon S3 and Amazon DynamoDB as data sources.

July 2018

  1. AWS Cloud9: Support for Jupyter notebooks and RStudio.
  2. AWS CloudWatch Events: A feature that allows users to respond to events in real-time.

August 2018

  1. AWS Lake Formation: Support for Amazon Redshift and Amazon Athena as data sources.
  2. AWS CloudFront: Support for HTTP/2 and QUIC protocols.

September 2018

  1. AWS SageMaker Ground Truth: A feature that allows data scientists to label and annotate data for machine learning model training.
  2. AWS CloudWatch: Support for Amazon Aurora and Amazon DocumentDB.

October 2018

  1. AWS Lake Formation: Support for Amazon QuickSight and Amazon SageMaker as data sources.
  2. AWS Cloud9: Support for Docker containers.

November 2018

  1. AWS CloudWatch: Support for Amazon Elastic File System (EFS) and Amazon Elastic Block Store (EBS).
  2. AWS Lake Formation: Support for Amazon S3 Select and Amazon S3 Batch Operations.

December 2018

  1. AWS SageMaker Autopilot: Support for automated model tuning and hyperparameter optimization.
  2. AWS CloudWatch: Support for Amazon Elastic Container Service (ECS) and Amazon Elastic Container Service for Kubernetes (EKS).

Note that this is not an exhaustive list, and AWS may have launched other services or features in 2018 that are not included here.