In Cloud Computing This Week [July 1st 2022]

Amazon Connect now allows you to further personalize the automated, self-service customer experience by leveraging Amazon Lex customer sentiment analysis as a branch within your flows. Amazon Lex allows customers to create intelligent chatbots that turn their Amazon Connect flows into natural conversations. With this launch, you can now build flows based on whether the customer expresses positive or negative utterances to your Lex bot. For example, you may want customers who express positive sentiment to be presented with additional upsell opportunities or you may want customers who express negative sentiment to be put directly in queue to speak with an agent. The new functionality can be setup using the “Get Customer Input” or the “Check contact attributes” flow blocks. In addition, all Lex related attributes (e.g., Intent, Slots, Sentiment) within flow blocks are now consolidated under one “type” within attribute selection to help simplify building your Lex experience within flows.

This new feature is available in all AWS regions where Amazon Connect is available.

AWS Well-Architected Tool now integrates with AWS Organizations enabling cloud architects to share their workloads and custom lenses more broadly across their organization. AWS Organizations is an account management service that allows customers to consolidate multiple AWS accounts into a single, centrally managed organization. This update will increase efficiency and make it easier to share lenses and workloads with multiple accounts.

Well-Architected customers will be able to give access to specific teams or departments by sharing their workloads and custom lenses across different subsets within an organization. This will promote collaboration between teams and will save customers time, allowing them to scale faster across a wider audience. Additionally, customers will be able to better control access to workloads and custom lenses.

This new capability is available to customers and AWS Partners at no additional charge in the AWS Management Console and is offered in all Regions where AWS Well-Architected Tool is available. The AWS Well-Architected Tool is designed to help you review the state of your applications and workloads, and provides a central place for architectural best practices and tools to improve decision-making, minimize risks, and reduce costs.

QuickSight Authors can now try, learn and experience Q before signing up. Authors can choose from six different sample topics to explore relevant dashboard visualizations and ask questions about data in the context of exploration to fully explore Q’s capability before signing up. This feature makes it easy for authors to understand and learn about Q before signing up.

QuickSight Authors can log in to their QuickSight accounts and click on “Q Topics“ in the left hand navigation to try and explore Q. They can select one among the six sample Topics (Product Sales, Marketing Campaigns, Financial Services, Clinical Trials, Student Enrollment Statistics, and AWS cost and Usage) and explore relevant visualizations and questions that can be enabled on these data and interact with them or ask their own natural language questions about this data before signing up for Q

Amazon EventBridge cross-Region routing allows customers to consolidate events from numerous regions into one central Region. This makes it easier for AWS customers to centralize their events in the destination Region and write code that reacts to them or replicate events from source to destinations Regions to help synchronize data across Regions. This week, AWS are excited to announce availability of cross-Region routing in AWS GovCloud (US) Regions.

EventBridge is a serverless event bus that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up routing rules to determine where to send your data, allowing for application architectures to react to changes in your data and systems as they occur. Amazon EventBridge can make it easier to build event-driven applications by facilitating event ingestion, delivery, security, authorization, and error handling.

AWS CloudFormation announces the general availability (GA) of AWS CloudFormation Guard 2.1 (cfn-guard), which enhances Guard 2.0 with new features. CloudFormation Guard is an open-source domain-specific language (DSL) and command line interface (CLI) that helps enterprises keep their AWS infrastructure and application resources in compliance with their company policy guidelines. CloudFormation Guard provides compliance administrators with a simple, policy-as-code language to define rules that can check for both required and prohibited resource configurations. It enables developers to validate their templates (CloudFormation Templates, K8s configurations, and Terraform JSON configurations) against those rules.

This GA release is backward compatible with cfn-guard 2.0, and enhances the developer experience. In additional to improving the stability and performance of cfn-guard, this release introduces four new features. First, developers have the option of viewing verbose color-coded outputs during template validation that will show code snippets on failure; allowing users to pinpoint corrective actions. Second, this release introduces parametrized rules, wherein policy authors can write a common polymorphic rule that changes its nature transparently based on the type of template being passed. For example, developers can write cfn-guard rules that work across AWS CloudFormation Templates, Terraform plans that use AWS CodeCommit, and AWS Config for asserting conditions. Third, this release introduces directory bundle support for running validations for templates allowing users to pass a directory as an input to scan all supported file types containing guard rules, data templates, or input parameters. Fourth, this release introduces dynamic data lookup for inspection via multiple data files. For example, users can pull a list of allowed security groups from a template, read those values into a ruleset and validate the template. The same ruleset can be used by passing stage-specific lookup values as input (DEV vs. PROD).

Journeys in Amazon Pinpoint now allows customers to define a schedule for channel communications based on day of the week, and day of the year. In addition, Amazon Pinpoint has added two new journey sending limits to help customers control the volume of communications sent to a user. Amazon Pinpoint journeys are multi-step campaigns that send users on communication paths based on their actions or attributes. Journeys can use multiple channels including: SMS, email, push, and voice. Journeys are intended for customers who have user engagement use cases, and want to send targeted communications that drive high-value user actions.

Using the journey schedule, customers can set the start and end time for communication sends for each day of the week. For example, a customer may decide to set different delivery sending hours between weekdays and weekends. Customers can also set overrides for certain days of the year, for example set different hours, or do not send during public holidays. More precise delivery times mean users are more likely to engage with the communication and increase metrics such as open rates for SMS and email, as well as pick-up rates for voice calls. Journey sending limits can be used to control the volume of communications sent to a user for an individual journey and across all journeys. For example, a customer can ensure they only send a maximum of three messages to a user within a seven day period across all journeys. This can help prevent a user from receiving too many communications within a short period of time, which can hurt a customer’s brand and lower response rates.

The AWS Serverless Application Model (SAM) announces general availability of AWS SAM Accelerate. The AWS SAM Command Line Interface (CLI) is a developer tool that makes it easier to build, locally test, package, and deploy serverless applications. AWS SAM Accelerate is a new capability of AWS SAM CLI that makes it easier for developers to test code changes against a cloud-based environment, reducing the time from local iteration to production-readiness.

AWS SAM Accelerate allows developers to bring their rapid iteration workflows to serverless application development, achieving the same levels of productivity they're used to when testing locally, while testing against a realistic application environment in the cloud. AWS SAM Accelerate synchronizes infrastructure and code changes on a developer's local workspace with a cloud environment in near real time: code changes are updated in seconds in AWS Lambda; API definition changes in Amazon API Gateway; state machine updates to AWS Step Functions; and infrastructure changes are deployed via infrastructure-as-code tooling such as CloudFormation. AWS SAM Accelerate also supports synchronizing resources defined in CloudFormation Nested Stacks.

AWS Database Migration Service (AWS DMS) now supports virtual private cloud (VPC) endpoints as sources and targets. AWS DMS can now connect to any AWS service with VPC endpoints so long as explicitly defined routes to the services are defined in their AWS DMS VPC.

By supporting AWS VPC endpoints AWS DMS makes it easier to maintain end to end network security for replications without the additional networking configuration and setup that was previously required to do replications on VPCs. Customers can now take advantage of the end to end security capabilities of AWS VPCs when using AWS DMS.

To learn more, see Setting up a network for a replication instance.

With the release of new granular permission APIs, Amazon FinSpace customers can now fully manage user access within their FinSpace environment using the AWS SDK and CLI. This allows customers to integrate configuration of FinSpace access controls into their identity orchestration workflows to keep FinSpace in sync with their organization’s access policies.

For example, when a user joins an equity research team that uses FinSpace, they can be automatically enabled in FinSpace and setup to have access to the datasets used by for equities analytics. If this user later moves to the fixed income analysis team, their access to the original datasets can be removed and they can be given access to the datasets used by the fixed income team. Finally, if this user leaves the customer’s organization, their access can be automatically deactivated in FinSpace.

Amazon FinSpace is a fully managed analytics service for financial services customers that enables analysts to access and analyze data from multiple locations such as internal data stores like portfolio, actuarial, and risk management systems as well as petabytes of data from third-party data sources, such as historical securities prices from stock exchanges. With FinSpace, customers can store, catalog, and prepare data at scale, reducing the time it takes to gain insights from from months to minutes. The new APIs are available via the AWS SDK and CLI. To see more details on the Entitlements APIs, see the Amazon FinSpace Data API Reference.

Amazon Connect Customer Profiles now allows you to automatically merge duplicate customer records on confidence scores. Each time the identity resolution feature finds duplicate records, it provides a confidence score on a scale of zero to one to represent the accuracy of a match, where a score of one represents most accurate match and zero represents least accurate match. You can select a threshold anywhere between zero to one to automatically merge duplicate records into a unified customer profile.

When a customer contacts your customer service department, Customer Profiles provides your agents and interactive voice response (IVR) solutions with up to date information about the customer, enabling faster and more personalized customer service. Customer Profiles brings together customer information (e.g, address, purchase history, contact history) from multiple applications such as Salesforce, Amazon S3, and ServiceNow into a unified customer profile.

Amplify UI is an open-source UI library that brings the simplicity and extensibility of AWS Amplify to UI development. It consists of connected components that simplify complex workflows like authentication and dynamic data, primitive components that form the building blocks to create consistency across applications, and themes to make Amplify UI to fit any brand.

Extensibility and customization are at the forefront of Amplify UI allowing easy integration into any application regardless of the front-end tech stack. With over 35 production-ready components, you can use Amplify UI as a foundation to build any application or design system.

Amplify UI offers a number of key features

• Minimal dependencies so you can use it with your favorite styling framework, use plain CSS, or go un-styled.
• Figma UI kit and theming plugin available for all the primitive components. Convert the Figma components to React components in Amplify Studio.
• Accessibility best practices (WCAG and WAI-ARIA) such as color contrast, keyboard navigation, accessible labels, and focus management are built-in.
• Seamless developer experience with first-class Typescript support.
• Powerful theming capabilities allow you to make Amplify UI look like your brand.

Starting this week, Amazon Virtual Private Cloud (VPC) customers can create their own prefix lists in five additional AWS Regions: AWS Asia Pacific (Jakarta), AWS China (Beijing) region, operated by Sinnet and AWS China (Ningxia) region, operated by NWCD and both AWS GovCloud (US) regions.

A prefix list is a collection of CIDR blocks that can be used to configure VPC route tables, AWS Transit Gateway (TGW) route tables, and VPC security groups. Customers can share prefix lists with other AWS accounts using Resource Access Manager (RAM) to easily audit and apply prefix lists across all their accounts to have a consistent security posture and routing behavior.

VPC security groups, VPC route tables, and TGW route tables are used to control access and routing policies. Customers often have a common set of CIDR blocks for security group and route table configurations. Prefix lists allow customers to group multiple CIDR blocks into a single object, and use it as a reference in their security groups or route tables. This makes it easier for customers to roll out changes and maintain consistency in security groups and route tables across multiple VPCs and accounts.

There is no additional charge for using prefix lists.

This week, AWS are excited to announce the general availability of Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere on bare metal which gives customers broader choice of infrastructure for running Kubernetes on-premises. As customers modernize their applications, they want to use Kubernetes consistently between their existing on-premises bare metal infrastructure and the cloud. Running Kubernetes on bare metal infrastructure is complex, and customers spend time, effort and money on infrastructure operations instead of focusing on business innovation.

Amazon EKS Anywhere on bare metal enables customers to automate all steps from bare metal hardware provisioning to Kubernetes cluster operations using a bundled open source toolset built on the foundation of Tinkerbell and Cluster API. Customers get choice of operating systems, and can pick either Bottlerocket (default) or Ubuntu for running their clusters. There are no upfront commitments or fees to use Amazon EKS Anywhere. Customers can optionally purchase Amazon EKS Anywhere Subscriptions to get 24/7 support from AWS’ highly-trained subject matter experts for Amazon EKS Anywhere cluster components as well as all bundled open source tooling.

Amazon MemoryDB for Redis is now a Payment Card Industry Data Security Standard (PCI DSS) compliant service. MemoryDB is a fully managed, Redis-compatible, in-memory database that provides low latency, high throughput, and durability at any scale.

You can now use MemoryDB to store sensitive payment card data with low latency and high throughput for use cases such as payment processing, mobile wallet, and payment fraud prevention that are subject to PCI DSS.

Developers can now access Amazon CloudWatch Logs within Visual Studio using the AWS Toolkit for Visual Studio. Directly from the IDE, it is now possible to search and filter log groups, log streams, and events. Additionally, log groups can be accessed from their associated resources, and log events can be downloaded to a file.

The AWS Toolkit for Visual Studio makes it easier to create, debug, and deploy .NET applications on Amazon Web Services using Visual Studio. The latest release of the toolkit includes several convenient CloudWatch logs features. Visual Studio users can list CloudWatch Log groups from the CloudWatch Logs node in the AWS Explorer. Individual log groups can be opened in a document tab, where you can view the log group’s streams, as well as export stream events to a local file. While viewing a log stream, you can search and filter log messages using keywords or phrases, such as "Exception" or "Error". You can also search using a time range, to see events that led up to and resulted from the error you were searching. Check out the Toolkit User Guide for more details.

AWS Single Sign-On (AWS SSO) is now available in the AWS Middle East (Bahrain) and Asia Pacific (Hong Kong) Regions. For a full list of the regions where AWS SSO is available, see the AWS Regional Services List.

AWS SSO is where you create, or connect, your workforce identities in AWS once and manage access centrally across your AWS organization. You can choose to manage access just to your AWS accounts or cloud applications. You can create user identities directly in AWS SSO, or you can bring them from your Microsoft Active Directory or a standards-based identity provider, such as Okta Universal Directory or Azure AD. With AWS SSO, you get a unified administration experience to define, customize, and assign fine-grained access. Your workforce users get a user portal to access all of their assigned AWS accounts or cloud applications. AWS SSO can be flexibly configured to run alongside or replace AWS account access management via AWS IAM.

Amazon S3 on Outposts now supports presigned URLs for granting time-limited access to objects stored locally on an Outpost. S3 on Outposts bucket owners can now more easily share objects with individuals in their Virtual Private Cloud (VPC).

Prior to presigned URLs, to share objects with other users, bucket owners would assign IAM policies to buckets. Now, with presigned URLs, bucket owners have a time-limited way to grant the ability to share, upload, or delete objects with other individuals in their VPC. Bucket owners can grant time-limited access with the presigned URL by choosing a custom expiration time that can be as low as one second and up to seven days, using the AWS CLI and SDKs.

Amazon S3 on Outposts delivers object storage to your on-premises AWS Outposts rack environment to help you meet your low latency, local data processing, and data residency needs. Using the S3 APIs and features, S3 on Outposts makes it easier to store, secure, tag, retrieve, report on, and control access to the data on your Outposts. AWS Outposts rack, as part of the AWS Outposts Family, is a fully managed service that extends AWS infrastructure, services, and tools to virtually any data center, co-location space, or on-premises facility for a truly consistent hybrid experience.

NICE DCV version 2022.1 introduces performance improvements and multiple new features, such as support for Rocky Linux 8.5 and Ubuntu 22.04 servers. NICE DCV is a high-performance remote display protocol that helps customers securely access remote desktop or application sessions, including 3D graphics applications hosted on servers with high-performance GPUs.

NICE DCV version 2022.1 contains the following features and improvements:

• Performance improvements - this release improves streaming performance and up to a 30% reduction of overall CPU consumption on non-GPU servers.
• Support for new Linux distributions - NICE DCV server software adds support for Ubuntu 22.04, Rocky Linux 8.5 and higher. NICE DCV native Linux client adds support for Ubuntu 22.04.
• Improved collaboration experience with native clients - New UI improvements make it easier for users to get notified when someone joins the session. Session owners can also manage collaborators and viewers of a session. With this release, the collaboration experience has been improved on Windows, Mac, and Linux native clients and unified with UI introduced in the 2022.0 release of the Web client.
• Support AWS Graviton instances for NICE DCV Session Manager broker - NICE DCV Session Manager broker can now be deployed on instances with AWS Graviton processor.

Starting this week, you can now bring your own development environment in a custom image to RStudio on Amazon SageMaker. RStudio on SageMaker is the industry’s first fully managed RStudio Workbench in cloud. You can quickly launch the familiar RStudio Integrated Development Environment (IDE), 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.

RStudio on SageMaker already comes with a built-in image pre-configured with R programming and data science tools including SageMaker SDK, AWS CLI, AWS SDK, and Reticulate package for integration with Python-based interfaces. Starting today, you can register your own custom image with packages and tools of your choice, and make them available to all the users sharing the RStudio on SageMaker domain. Bringing your own custom image has several benefits. You can standardize and simplify the getting started experience for data scientists and developers by providing a starter base image, pre-configure the drivers required for connecting to data stores, or pre-install specialized data science software for your business domain.

AWS Backup Audit Manager adds a new control that you can use to audit and report on the recovery point objective (RPO) of your backups. With this launch, you can now specify your organizational recovery point objectives for your resources and evaluate whether your recovery points are in compliance.

To begin using this new AWS Backup Audit Manager control, simply enable it in your existing AWS Backup Audit Manager frameworks. Once you enable this control, AWS Backup Audit Manager automatically runs it on a daily basis, monitoring your RPOs based on your data protection policies, and alerts you to take corrective actions, if needed. You can also generate auditor-ready reports to help prove compliance of your data protection policies with your defined industry-specific regulatory requirements.

Starting this week, Amazon AppStream 2.0 introduces support for streaming over UDP, when using the Windows native client. Amazon AppStream 2.0 is a fully managed service that provides non-persistent desktops, and application streaming products to end-users. Previously, you were able to stream over TCP via Windows native client. With your end users now working from home or in different countries compared to your corporate offices, they may operate in sub-optimal network conditions you are unable to control. These network conditions can impact your end users experience and productivity. With UDP streaming your end users will experience a more responsive streaming quality in sub-optimal network conditions, with higher round trip latency.

Enabling UDP does not require any changes to your applications, and can simply be enabled from Amazon AppStream 2.0 console. If you opt-in and for any reason an UDP based stream cannot be established we will automatically fall back to TCP based streaming.

To get started with Amazon AppStream 2.0 UDP streaming for Windows native clients, launch the AppStream 2.0 console and go to your Stacks. There you can select UDP as the streaming preference in the Streaming Experience Settings card. In addition to selecting this option you also need to ensure 1/ your network supports UDP streaming on port 8433 for the AWS IP Ranges, 2/ your end users are using the latest Windows native client, and 3/ the base image you are using for your fleet supports UDP. If any of these conditions are not met, we will automatically fall back to streaming over TCP. You can choose to view and edit protocols at a Stack level from AWS Console, APIs or CLI.

Amazon QuickSight launches a suite of functions called Level Aware Calculations (LAC). The new calculation capability enables customers to specify the level of granularity that they want the window functions (in what window to partition by) or aggregate functions (at what level to group by) to be conducted. This brings flexibility and simplification for users to build some advanced calculations and powerful analyses. Without LAC, user will have to prepare pre-aggregated tables in their original data source, or run queries in the data prep phase to enable those calculations. For further details, visit here.

The new Level Aware Calculation functions are available in Amazon QuickSight Standard and Enterprise Editions in all QuickSight Regions.

You can now use AWS Application Migration Service (AWS MGN) for use cases that are subject to System and Organization Controls (SOC) reporting. You can also now install the AWS Application Migration Service agent on your source servers using AWS Identity and Access Management (IAM) temporary security credentials with limited permissions. AWS Application Migration Service allows you to quickly migrate and modernize applications on AWS.

AWS SOC reports are independent third-party examination reports that demonstrate how AWS achieves key compliance controls and objectives. In addition to meeting standards for SOC, AWS Application Migration Service is Health Insurance Portability and Accountability Act (HIPAA) eligible, Payment Card Industry – Data Security Standard (PCI DSS) compliant, and International Organization for Standardization (ISO) compliant. You can download the AWS SOC reports in AWS Artifact, and you can visit AWS Services in Scope by Compliance Program to see a full list of services covered by each compliance program.

The AWS Snowcone solid state drive (SSD) device is now available in the AWS Europe (Paris) Region, adding to the growing list of Regions already offering Snowcone SSD, including AWS US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California) Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Sydney), Europe (Frankfurt), Europe (Ireland), Europe (London), Asia Pacific (Mumbai), Canada (Central), and South America (São Paulo).

AWS Snowcone is the smallest device of the AWS Snow Family of edge computing, edge storage, and data migration devices. Snowcone is available in both hard disk drive (HDD) and solid-state drive (SSD) device types, and both device types are portable, rugged, and secure. They are small and light enough to fit in a backpack, and can withstand harsh environments. Customers use Snowcone to deploy applications at the edge, and to collect data, process it locally, and move it to AWS either offline by shipping the device to AWS, or online by using AWS DataSync on Snowcone to send the data to AWS.

Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of 4 male Neural TTS voices: Liam for Canadian French, Arthur for UK English, Daniel for German and Pedro for US Spanish.

TTS voices simplify the way you can create, implement, update, and maintain your speech-enabled applications and products. You can use Amazon Polly to enhance the user experience and improve the accessibility of your text content with the power of voice. Common use cases include interactive voice response (IVR) systems, audiobooks, newsreaders, eLearning content, and virtual assistants.

All four voices have been modeled on Matthew, an existing US English voice. While customers continue to appreciate Matthew for his naturalness and professional-sounding quality, he has so far exclusively served English-speaking traffic. Now we were able to decouple language and speaker profile, which allowed us to preserve native-like fluency across different languages without the necessity of obtaining multilingual data from the same speaker. As a result, we transferred the highly likeable vocal characteristics of Matthew to four new languages.

AWS DataSync now supports copying files to and from Amazon FSx for NetApp ONTAP, a storage service that allows customers to launch and run fully managed ONTAP file systems in the cloud. Using AWS DataSync, you can quickly and securely migrate your data from your on-premises storage, the edge, or other clouds to your FSx for NetApp ONTAP file systems running in AWS. You can also use DataSync to move data between your FSx for NetApp ONTAP file system and Amazon S3 buckets, Amazon EFS file systems, or other Amazon FSx file systems.

AWS DataSync is an online data transfer service that makes it easy to move petabytes of data between on-premises storage, edge locations, or other cloud providers, and AWS Storage services. It uses a purpose-built network protocol and scale-out architecture to accelerate data movement and provides encryption of data in-transit and at-rest, along with end-to-end data integrity verification. DataSync provides control and monitoring capabilities such as data transfer scheduling and include and exclude filters, and gives you granular visibility into the transfer process through Amazon CloudWatch metrics, logs, and events.

Amazon GameLift now offers a new console experience that provides a more intuitive way to manage and scale your game servers on AWS. The redesigned console has new left-hand navigation that makes it easy to switch between various GameLift features such as managing and creating builds, scripts, fleets, FlexMatch, and includes helpful resource links like “Prepare to launch”, and service quotas. The new interface will make it quicker and easier to configure and manage your game server instances by providing a view of all your settings in one location.

Amazon GameLift has also extended the integration into Amazon CloudWatch so customers can create their own dashboards and custom views of GameLift resources. The CloudWatch integration now includes metrics previously only available in the console, including aggregate metrics for instance performance, utilization/capacity, and player sessions. This gives more flexibility and choice when it comes to managing and monitoring the performance of your GameLift resources.

Amazon RDS now allows you to have up to 20 concurrent snapshot copy requests per destination region per account, an increase from the former limit of five concurrent copies per destination region per account.

The new limit applies to snapshots of Microsoft SQL Server, Oracle engines, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, and Amazon RDS for MariaDB engines in AWS Regions where Amazon RDS is available. This feature has been enabled on your account and no further action is needed from you.

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning practitioners get started on training and deploying machine learning models quickly. These algorithms and models can be used for both supervised and unsupervised learning. They can process various types of input data including tabular, image, and text.

Starting this week, Amazon SageMaker provides four new tabular data modelling algorithms: LightGBM, CatBoost, AutoGluon-Tabular and TabTransformer. These popular, state-of-the-art algorithms can be used for both tabular classification and regression tasks. They are available through the SageMaker JumpStart UI inside of SageMaker Studio, as well as through python code using SageMaker Python SDK. To learn how to use these algorithms, you can find SageMaker example notebooks below:

• LightGBM is a popular and high-performance open-source implementation of the Gradient Boosting Decision Tree (GBDT). To learn how to use this algorithm, please see example notebooks for Classification and Regression.

• CatBoost is another popular and high-performance open-source implementation of the Gradient Boosting Decision Tree (GBDT). To learn how to use this algorithm, please see example notebooks for Classification and Regression.

• AutoGluon-Tabular is an open-source AutoML project developed and maintained by Amazon which performs advanced data processing, deep learning, and multi-layer stack ensembling. To learn how to use this algorithm, please see example notebooks for Classification and Regression.

• TabTransformer is a novel deep tabular data modelling architecture built upon self-attention based Transformers, an innovation from Amazon science research. To learn how to use this algorithm, please see example notebooks for Classification and Regression.

Amazon AppStream 2.0 is now available in the AWS US East (Ohio) region. You can now deploy AppStream 2.0 for your active workloads, as well as to meet your disaster recovery (DR) and business continuity needs. With this launch, you can deploy General Purpose, Compute Optimized, Memory Optimized, Graphics Design, Graphics Pro and Graphics G4 instances to meet the needs of your users.

AppStream 2.0 is a fully managed non-persistent desktop and application virtualization service that allows customers to stream applications and desktops from AWS to users without acquiring, provisioning, and operating hardware or infrastructure. AppStream 2.0 can help customers provide users with secure, instant-on access to the applications they need with a responsive, fluid user experience from anywhere on the device of their choice.

Starting this week, you can use Amazon EC2 placement groups to spread instances across distinct hosts on an AWS Outposts rack. Host-level spread placement groups distribute instances across hosts to reduce the likelihood of correlated failures, benefiting workloads that require High Availability (HA) like mission-critical databases.

AWS Outposts rack, a part of the AWS Outposts family, is a fully managed service that offers the same AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises datacenter or co-location space for a truly consistent hybrid experience. When you create a spread placement group that will be used in an Outpost, you can set an optional Spread Level parameter to “rack” or “host”, which determines how instances are distributed across the underlying hardware. If no Spread Level is defined, “rack” is selected by default. Spreading instances across distinct hosts is useful in Outposts environments when you want to protect against host failures that can occur within a rack. The number of instances you can launch into a host-level spread placement group is limited only by the number of hosts available in your Outpost.

AWS Glue streaming ETL (Extract Transform and Load) can now detect compressed data streaming from Amazon Kinesis, Amazon Managed Streaming for Apache Kafka (Amazon MSK), and self managed Apache Kafka. It can then automatically decompresses this data without customers having to write code, saving them development hours. AWS Glue Streaming ETL jobs continuously consume data from streaming sources, cleans and transforms the data in-flight, and makes it available for analysis in seconds. Customers compress data prior to streaming in-order to improve performance and to avoid throttling limits by Amazon Kinesis and Amazon MSK. Prior to this feature, customers had to write user defined functions to uncompress data from a stream, which is time consuming. 

The storage space allocated to your Amazon DocumentDB (with MongoDB compatibility) cluster will now dynamically decrease when you delete data from the cluster. Amazon DocumentDB is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Previously, when Amazon DocumentDB data was removed, such as by dropping a collection, the overall allocated space remained the same. The free space was reused automatically when data volume increased in the future.

Now, with dynamic resizing, the allocated storage space automatically increases up to a maximum size of 64 Tebibyte (TiB) when you need more storage and decreases automatically when you delete data. You only pay for the storage you use. Dynamic resizing for storage space is now being enabled for all Amazon DocumentDB v4.0 clusters in all regions. All new Amazon DocumentDB v4.0 clusters will have this feature enabled by default.

General availability: Azure Active Directory authentication for Application Insights

Azure Active Directory (Azure AD) authentication for Azure Monitor Application helps ensure that only authenticated telemetry is ingested in your Application Insights resources.

Generally available: Azure Backup multi-user authorization for recovery services vaults

Multi-user authorization for Backup provides enhanced protection for your backup data in recovery services vaults against unauthorized critical operations.

Generally available: 2022-05-31 Azure IoT Central REST API release

The Azure IoT Central REST API now enables GA support for creating and managing device groups and organizations, configure file uploads destination, and add organization association to existing endpoints.

Generally available: Resize rows in Azure IoT Central device raw data view

You can now resize rows in Azure IoT Central’s device raw data view allowing the ability to analyze more data in a single view.

General availability: Temporary access pass for Azure Active Directory

Temporary Access Pass is now generally available in Public and US Gov clouds.

General availability: MATCH clause for Query

The MATCH clause is used in the Azure Digital Twins query language and allows you to specify which pattern should be followed while traversing relationships in the ADT graph.

Generally available: Export device data under an organization in Azure IoT Central

Azure IoT Central data export feature now supports the ability to filter data under an organization as well as include organizations path in the exported data.

Public preview: Create an additional 5000 Azure Storage accounts within your subscription

Azure Storage is announcing public preview of the ability to create additional 5000 storage accounts per subscription per region.