The Amplify Framework is an open-source project for building cloud-enabled mobile and web applications.
Amazon EC2 C5 New Instance Sizes are Now Available in Additional Regions
Starting today, Amazon EC2 c5.12xlarge, c5.24xlarge, and c5.metal instance sizes are available in the AWS US East (Ohio), US West (N. California), Canada (Central), and Asia Pacific (Mumbai, Tokyo) Regions. The 3 new C5 instance sizes are powered by custom 2nd Generation Intel Xeon Scalable Processors (based on the Cascade Lake architecture) with sustained all-core turbo frequency of 3.6 GHz and maximum single core turbo frequency of 3.9 GHz.
Amazon EC2 Fleet Now Lets You Modify On-Demand Target Capacity
Amazon EC2 Fleet simplifies the provisioning of Amazon EC2 capacity across different Amazon EC2 instance types, Availability Zones, and On-Demand, Amazon EC2 Reserved Instances (RI) and Amazon EC2 Spot purchase models. With a single API call, you can provision capacity across EC2 instance types and purchase models to achieve desired scale, performance, and cost.
Amazon SNS Message Filtering Adds Support for Attribute Key Matching
Amazon Simple Notification Service (SNS) message filtering now supports attribute key matching. This feature lets you create an Amazon SNS subscription filter policy that matches incoming messages which contain an attribute key, regardless of the attribute value associated with this key. This feature lets you offload additional message filtering logic to Amazon SNS.
Amazon EC2 Fleet Now Lets You Set A Maximum Price For A Fleet Of Instances
Amazon EC2 Fleet simplifies the provisioning of EC2 capacity across different instance types, Availability Zones (AZs), and purchase options to optimize for scale, performance, and cost. Allocation strategies let you determine how EC2 Fleet should select from the instance types and AZs you have specified to fulfill the desired capacity.
AWS Health is now Available in AWS GovCloud (US)
AWS Health is now available in AWS GovCloud (US). AWS Health includes the AWS Personal Health Dashboard (PHD) and the AWS Health API. These tools give you awareness and remediation guidance for resource performance or availability issues that affect your applications running on AWS.
Amazon SageMaker notebooks now available with pre-installed R kernel
Amazon SageMaker notebooks now support R out-of-the-box, without needing you to manually install R kernels on the instances. Also, the notebooks come pre-installed with the reticulate library that offers an R interface for the Amazon SageMaker Python SDK enabling you to invoke Python modules from within an R script.
Amazon RDS for Oracle now supports July 2019 Oracle Patch Set Updates (PSU) and Release Updates (RU)
Amazon RDS for Oracle now supports the July 2019 Patch Set Updates (PSU) for Oracle Database 11.2 and 12.1, and July 2019 Release Update (RU) for Oracle Database 12.2.
Amazon CloudFront Announces Support for Resource-Level and Tag-Based Permissions
You can now define Identity and Access Management (IAM) policies to specify granular resource-level and tag-based user permission in CloudFront. These new features give you increased flexibility to manage access to your CloudFront distributions.
Previously, you could apply IAM policies to manage user actions in CloudFront, but you couldn’t restrict actions to specific distributions in your account. Now, with resource-level permissions, you can configure IAM policies that reference individual CloudFront distributions—using Amazon Resource Names (ARNs) or wildcards—and specify the users and actions that have permissions on only those distributions. Similarly, with tag-based access control, you can create IAM user policies that allow or deny actions on specific CloudFront distributions based on the tags associated with them.
To get started with this new functionality, see the CloudFront Developer Guide . To learn more about Amazon CloudFront, visit our product page .
Manage a Lex session using APIs on the client
Natural conversations are dynamic and often cover multiple topics. A user could start off with a request, digress to a related topic, and may eventually return to the original query. Previously, you could manage a dynamic conversation like this only on the server-side using Lambda functions. Today, we’re announcing new Amazon Lex Session APIs to manage a dynamic conversation on the client. You can define the dialog state, slot values, prompt messages, and attributes. With this granular control on the session, you can manage the conversation flow by performing operations such as switching to a different topic or continuing from a previous point in the conversation.