Amazon Relational Database Service (RDS) on VMware is a service that delivers AWS-managed relational databases in on-premises VMware environments. RDS on VMware customers running SQL Server can now recover their databases using point-in-time recovery for database recovery and duplication.
Host resource groups now provides APIs along with the ability to add existing Dedicated Hosts to further simplify your BYOL experience
You can now use Host Resource Groups application programming interfaces (APIs) to onboard to the simplified bring your own license (BYOL) experience for software licenses, such as Windows Server and SQL Server, which require a dedicated physical server. This allows you to specify your management preferences for Dedicated Host, such as host allocation, host capacity utilization, and instance placement at the time of onboarding. You can then launch instances on EC2 Dedicated Hosts just as you would launch an Amazon EC2 instance with AWS-provided licenses. This new capability also allows you to add existing Dedicated Hosts to Host Resource Groups so that you can let AWS manage them on your behalf.
Provisioned product referencing is now available in AWS Service Catalog
AWS Service Catalog now supports referencing Service Catalog provisioned product outputs in new provisioned products or AWS CloudFormation stacks. Provisioned product outputs, such as a VPC identifier, can now be made available as inputs to dependent provisioned products and stacks. This saves time building applications that have dependencies on existing infrastructure, such as a VPC, S3 bucket, or RDS database.
Amazon Neptune now supports the db.r5.24xlarge instance type
You can now launch your Amazon Neptune RDF/SPARQL or Apache TinkerPop graph application with a db.r5.24xlarge instance type for improved loading performance in all regions where Amazon Neptune is available.
Now compare different versions of your runbooks with AWS Systems Manager
AWS Systems Manager now lets you perform a side-by-side comparison between different versions of your runbooks and other Systems Manager documents such as Run Command documents. Using this feature, you can quickly troubleshoot issues by visually comparing what changed in your runbook across versions.
AWS Config launches ability to save advanced queries
AWS Config advanced queries feature adds ability to save your queries in your AWS Config account. Now, when you customize a sample query or write your query, you can save it with a name, description, and tags. This eliminates the need to save a query in a separate repository or rewrite it every time you want to run it. After you save the query, you can search it, copy it to the query editor, edit it, or delete it.
Use AWS Secrets Manager to rotate your AWS Data Migration Service source and target database credentials
Starting today, you can use AWS Secrets Manager to rotate AWS Database Migration Service (DMS) source and target database credentials. Rotating credentials is an AWS Identity and Access Management (IAM) best practice that helps you meet your security and compliance requirements.
Amazon EMR Release 6.2 now supports improved Apache HBase performance on Amazon S3, and Apache Hive ACID Transactions on HDFS and Amazon S3
Amazon EMR Release 6.2 now supports improved Apache HBase performance on Amazon S3 with persistent HFile tracking, and Apache Hive ACID transactions on HDFS and Amazon S3. EMR 6.2 contains performance improvements to EMR Runtime for Apache Spark, and PrestoDB performance improvements.
AWS Glue launches AWS Glue Custom Connectors
Today we announced the availability of AWS Glue custom connectors, a new capability in AWS Glue and AWS Glue Studio that makes it easy for you to transfer data from SaaS applications and custom data sources to your data lake in Amazon S3. With just a few clicks, you can search and select connectors from the AWS Marketplace and begin your data preparation workflow in minutes. For example, with the new capability, you can take advantage of connectors for Salesforce, SAP, and Snowflake. You can also build custom connectors and share them across teams, and integrate open source Spark connectors and Athena federated query connectors into you data preparation workflows. If you are an AWS Partner, you can develop custom connectors and share them on the AWS Marketplace.
Introducing Compliant Framework for Federal and DoD Workloads in AWS GovCloud (US)
Compliant Framework for Federal and DoD Workloads in AWS GovCloud (US), a new AWS Solutions Implementation, helps customers accelerate their Cybersecurity Maturity Model Certification (CMMC) and U.S. Department of Defense (DoD) Cloud Computing (CC) Security Requirements Guide (SRG) compliance while reducing the level of technical effort, cost, and risk. The solution deploys foundational AWS infrastructure to support an automated, secure, scalable, multi-account environment based on AWS best practices in the AWS GovCloud (US) Regions. It is designed to meet requirements prescribed by the DoD for hosting Impact Level (IL) 4 and IL 5 workloads in the cloud, as well as provide the foundation for a CMMC compliant environment. With the Compliant Framework solution, U.S. Federal and DoD customers, as well as defense industrial base contractors, are able to quickly deploy an architecture baseline that will allow them to more rapidly achieve Authority to Operate and CMMC certification.