You can now use AWS Launch Wizard to perform single-instance deployments of Microsoft SQL Server on Windows Server and Ubuntu Server.  

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce German and Italian language support for streaming audio. We are also announcing availability of Amazon Transcribe streaming in the EU (London) and EU (Frankfurt) regions. These new languages and regions expand the markets served by Amazon Transcribe streaming and enable customers to reach a broader global audience.

Amazon CloudWatch launches Metrics Explorer – a tag-based dashboard tool that enables customers to filter, aggregate, and visualize operational health and performance metrics by tags. Metrics Explorer provides customers with a flexible troubleshooting experience, allowing them to build their tag-based application health dashboards, identify correlations, and quickly analyse their operational data to pinpoint issues. These tag-based dashboards will stay up to date as resources come and go, and they will help customers to identify the root cause and quickly isolate the issues when an alarm occurs on an application or environment. 

AWS Service Catalog now supports Stack Set instance operations. With this new feature, end-users can control the individual instances for their StackSets, within the constraints specified by their AWS Service Catalog administrator.

Amazon EventBridge is now available in AWS GovCloud (US) Regions. Amazon EventBridge is a serverless event bus that makes it easy to connect applications using data from a variety of data sources. Amazon EventBridge enables you to build event-driven architectures that are loosely coupled and distributed.

Starting today, Amazon EC2 On-Demand Capacity Reservations are now supported with AWS Wavelength Zones. Customers can now reserve capacity for their Amazon EC2 instances for any duration.  

Today, AWS Marketplace announced the ability for independent software vendors (ISVs) to provide tags corresponding to the metered usage of their software. Customers can enable the vendor provided tags as cost allocation tags to gain visibility into third-party software spend.

Starting today, you can proactively manage the EC2 Spot Instance lifecycle by using the new Capacity Rebalancing feature for Amazon EC2 Auto Scaling, EC2 Fleet, and Spot Fleet. Capacity Rebalancing helps you maintain workload availability by proactively augmenting your fleet with a new Spot Instance before a running instance receives a two-minute interruption notice. Previously, EC2 Auto Scaling, EC2 Fleet, and Spot Fleet replaced Spot Instances only after they were interrupted. Now, with Capacity Rebalancing, these services attempt to proactively replace Spot Instances when they receive the new EC2 Instance rebalance recommendation, rather than waiting until they receive a two-minute in interruption notice.

You can now store streaming data for up to one year in Amazon Kinesis Data Streams. Long term retention of streaming data enables you to use the same platform for both real-time and older data retained in Amazon Kinesis Data Streams. For example, you can train machine learning algorithms for financial trading, marketing personalization, and recommendation models without moving the data into a different data store or writing a new application. You can also satisfy certain data retention regulations, including under HIPAA and FedRAMP, using long term retention. You only pay for data stored and retrieved without provisioning additional storage or compute resources.

Starting today, you can proactively rebalance your workloads running on EC2 Spot Instances without having to wait until the Spot Instance receives a two minute Instance interruption notice. You now have access to a new feature called “EC2 Instance rebalance recommendation”, a signal that notifies you when a Spot Instance is at elevated risk of interruption. The signal can arrive sooner than the two minute Spot Instance interruption notice, giving you the opportunity to proactively rebalance your workload to new or existing Spot Instances that are not at elevated risk of interruption. For example, you can start checkpointing your work early to save as much state as possible before the instance is interrupted. Or you can prevent scheduling new work onto the Spot Instances that received the rebalance recommendation, thus increasing the chance of completing the work.