Amazon Simple Queue Service (SQS) FIFO (First-In-First-Out) queues are now available in the AWS China Beijing (BJS) Region (operated by SINNET), Asia Pacific (Hong Kong), GovCloud (US-East), and GovCloud (US-West). 

AWS Cloud9 is now available in the EU (Frankfurt) Region. AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser.  

The AWS Developer Tools console, the unified interface for many AWS Developer Tools services, now provides a way to quickly search for your resources, such as repositories, build projects, deployment applications, and pipelines. This makes it easier to view and find resources without navigating through individual service consoles to find what you’re looking for. 

Amazon EC2 On-Demand Capacity Reservations are now available in the AWS GlovCloud (US-West) and AWS GovCloud (US-East) Regions. On-Demand Capacity Reservations are also available in all commercial AWS Regions.  

Today, AWS added a third Availability Zone (AZ) to the AWS Asia Pacific (Mumbai) Region to accommodate a growing number of customers and increasing usage of the Region. 

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Starting today, Amazon Transcribe supports transcription in Hindi and Indian-accented English in all regions where the service is available. 

Amazon ElastiCache for Redis adds support for the latest Redis open source version 5.0.4. This is a bug fix release with various improvements in stability and memory management.

For the full list of improvements in Amazon ElastiCache for Redis 5.0.4 click here . Redis 5.0.4 support is available in all AWS regions.

To get started on ElastiCache for Redis cluster with engine version 5.0.4 log on to AWS Management Console .  

Amazon Kinesis Data Firehose is now available in the AWS Europe (Stockholm) Region. Amazon Kinesis Data Firehose is the easiest way to load streaming data into data stores and analytics tools. It can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools you are already using today. 

AWS AppSync is a managed GraphQL service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources. With today’s launch, AWS AppSync now supports configuring more than one authorization type simultaneously for GraphQL APIs.

You can configure a single GraphQL API to deliver private and public data. You can also configure a single GraphQL API to deliver private data using more than one authorization type. For example, you can configure your GraphQL API to authorize some schema fields using OpenID Connect (OIDC), while authorizing other schema fields through Amazon Cognito User Pools and/or AWS Identity and Access Management (IAM).

AWS AppSync supports configuring additional authorization types while retaining the authorization settings of your existing GraphQL APIs. To ensure that there are no behavioral changes in your existing GraphQL APIs, we have set your current authorization settings as the default. You can add additional authorization types using the AWS AppSync Console, CLI, and CloudFormation templates. We have also updated the AWS AppSync client SDKs for Android, iOS, and JavaScript and the Amplify CLI to support multiple authorization types.

To learn more, see the release blog post and the AWS AppSync web page.

You can now send IoT Analytics data set content results, which are materialized views of your IoT Analytics data, to an Amazon S3 bucket in your AWS account. This lets you easily use it with a downstream application for further processing or presentation to end-users. For example, you can automatically create a Glue Table containing a representation of your data set content results and its schema and run queries with Amazon Athena. Also, since the data set content results are saved in your Amazon S3 bucket, you can apply your own S3 permissions and manage them according to your governance policies.