In addition to the existing Amazon Pinpoint console capabilities, the Amazon Pinpoint API 2.0 provides customers increased control over their SMS and voice sending and configuration.

Amazon Connect Wisdom now supports content ingestion from Zendesk, adding to the existing Salesforce and ServiceNow connectors already supporting knowledge content. You can now synchronize knowledge articles from Zendesk, enabling your contact center agents to receive Machine Learning (ML) powered real-time recommendations for content that can help them resolve customer issues quickly. In addition to receiving automatic recommendations while interacting with end-customers, agents can manually search for helpful content by entering key words or phrases.

Today, we are announcing the availability of Amazon Data Lifecycle Manager in the AWS Asia Pacific (Jakarta) Region.

Starting today, you can add resource records to your Amazon Route 53 hosted zones beyond the free tier limit using pay-as-you-go pricing. Previously, Route 53 customers could add a maximum of 10,000 resource records to any hosted zone for free. Customers who required more than 10,000 resource records in a hosted zone had to contact AWS Support to request a custom pricing plan. With this launch, customers can add resource records beyond the 10,000-record free tier without requiring a custom pricing plan. Now, any resource records you add to a hosted zone beyond the 10,000-record free tier will automatically be charged at the rate of $0.0015 per resource record per month, making it easier to scale your resource records up or down as needed.

Amazon Relational Database Service (Amazon RDS) Proxy now supports Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL – Compatible edition major version 13. PostgreSQL 13  includes many new features and performance enhancements such as de-duplication of B-tree index entries, improved performance for queries that use partitioned tables, better query planning when using extended statistics, parallelized vacuuming of indexes, and incremental sorting.

RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench in cloud. Data scientists and developers can launch the familiar RStudio integrated development environment (IDE) in a single click to build, train, and deploy models on Amazon SageMaker. You can elastically dial up and down the underlying compute resources without interrupting your work, and even switch to programming using Python on Amazon SageMaker Studio notebooks . All your work, including code, datasets, repositories, and other artifacts are synchronized between the two environments. You can bring your current RStudio license to Amazon SageMaker at no additional charge to quickly get started. Starting today, you can now automate the process of creating domains and adding user profiles for RStudio on SageMaker using AWS CloudFormation.

I seem to have started a rumour that might turn out to be profitable, Ed confides to his diary, last week,  after a shedload of booze at a semiconductor industry dinner, someone asked me when the crash was coming. Trying to be interestingly controversial, I replied that it might not happen for sometime if the …

This story continues at Ed Starts A Profitable Rumour

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Amazon ElastiCache for Redis now supports Global Datastore in the Asia Pacific (Osaka) and Europe (Stockholm) Regions. Global Datastore is a feature of ElastiCache for Redis that provides fully managed, fast, reliable, and secure cross-Region replication. Using Global Datastore, you can write to your ElastiCache for Redis cluster in one Region and have the data available for read in two other cross-Region replica clusters, thereby enabling low-latency reads and disaster recovery across Regions.

Starting today, Amazon WorkSpaces is offering APIs that allow you to customize your users Amazon WorkSpaces experience with your logo, login message, and help links on the WorkSpaces client login page. Using your own brand provides a familiar look and feel when users access your WorkSpaces. Adding your own help links makes it easy for users to access support resources within your organization.  

AWS Glue DataBrew customers are now able to clean and transform data stored in the Optimized Row Columnar (ORC) file format, a widely used data format for storing Hive data. When creating a dataset in AWS Glue DataBrew, you can now use ORC files in addition to already supported Apache Parquet, Microsoft Excel, CSV, and JSON file formats.