The Amplify Framework is an open source project for building cloud-enabled mobile and web applications. The Amplify CLI (part of the Amplify Framework) is a toolchain to create, integrate, and manage the AWS cloud services for your application.
Amazon Kinesis Data Firehose Adds Support For Customer-Provided Keys for Server-Side Encryption
Amazon Kinesis Data Firehose now provides additional protection of sensitive data through customer-provided keys for server-side encryption (SSE) of delivery streams. This feature is integrated with AWS Key Management Service (KMS), which allows you to centrally manage keys that protect Kinesis Data Firehose delivery streams along with keys that protect your other AWS resources.
Amazon VPC Traffic Mirroring Now Supports Amazon CloudWatch Metrics
You can now use Amazon CloudWatch to monitor metrics related to VPC Traffic Mirroring. You can collect information such as amount of traffic mirrored or not mirrored on your network interface that is part of a traffic mirror session. You can also set up CloudWatch Alarms to receive notifications on any metrics crossing pre-defined thresholds. To get started with these metrics, see Monitoring Mirrored Traffic Using Amazon CloudWatch .
Amazon Neptune offers full-text search integration with Elasticsearch clusters
Amazon Neptune now supports full-text search integration with Elasticsearch clusters. This allows customers to use search indexing capabilities within an Elasticsearch cluster, such as provided by the Amazon Elasticsearch Service, with their graph data stored in Amazon Neptune.
AWS for Fluent Bit now supports Amazon Kinesis Data Streams
With AWS for Fluent Bit version 2.0.0, customers can now send container logs from Amazon ECS, Amazon EKS or AWS Fargate to Amazon Kinesis Data Streams. The AWS for Fluent Bit container image is a lightweight log collector and shipper for containerized environments. It is the recommended logging agent for Amazon ECS, Amazon EKS, and AWS Fargate. The container image is available on Docker Hub, as well as regionalized Amazon ECR repositories provided by AWS.
Encrypt your Amazon DynamoDB data by using your own encryption keys
Amazon DynamoDB is a fully managed, nonrelational database that delivers reliable performance at any scale. DynamoDB encrypts all your data at rest by default with an AWS owned customer master key (CMK), unless you opt to use a AWS managed CMK. Starting today, you also can use customer managed CMKs , which means you can have full control over how you encrypt and manage the security of your DynamoDB data.
Improve the Security Between AWS Applications and Your Self-Managed Active Directory with Secure LDAP using AWS Managed Microsoft AD
AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, can now encrypt Lightweight Directory Access Protocol (LDAP) communications between AWS applications, such as Amazon Workspaces and Amazon Chime, and your self-managed AD. This allows you to better protect your organization’s identity data and meet your security requirements by enabling AWS Managed Microsoft AD as your Secure LDAP (LDAPS) client.
Access your AWS Regions faster using the AWS Management Console
The AWS Management Console now makes it quicker for you to access your favorite AWS Regions , because you can find the right Region by its code (e.g. us-east-1), and not just by its name (e.g. US East (N. Virginia)). You save time and effort because you no longer have to refer to AWS documentation to get this information.
AWS Managed Services (AMS) now supports AWS CloudFormtaion Stack Update
AWS Managed Services (AMS) launched support for AWS CloudFormation (CFN) Stack Update. You can now make changes to your stack’s configurations or change it’s resources, such as new input parameter values or updated template, through the AMS request for change (RFC) process. Changes submitted are validated for safety and only nondestructive changes are automatically executed. For destructive changes, a change set is provided to you for approval before automated execution.
Amazon Elastic Inference now supports resource tagging
You can now assign AWS resource tags to Amazon Elastic Inference accelerators. Each tag consists of a key and an optional value, both of which you define. You can use tags to easily organize and identify your resources and create cost allocation reports , among other benefits. You can add or remove resource tags from Elastic Inference accelerators using API, CLI, or SDK.