Today, AWS announces general availability of Amazon Q data integration, a new generative AI–powered capability of Amazon Q Developer that enables you to build data integration pipelines using natural language. Amazon Q Developer is the AWS expert to assist you with all of your development tasks. Amazon Q data integration is a new chat experience specifically for AWS Glue, design for authoring and troubleshooting data integration pipelines. Through conversations with Amazon Q, you can author AWS Glue jobs, troubleshoot issues, and get expert assistance for AWS Glue and data integration. Tell Amazon Q what you need in English and it will generate AWS Glue jobs to integrates data from AWS or third party sources. You can troubleshoot jobs by asking Amazon Q to explain errors and propose solutions. Amazon Q provides guidance throughout the entire data integration workflow. With general availability, we add new capabilities for building complex jobs with multiple sources, destinations, and transformations. You can now connect to more than 20 sources including AWS databases, data warehouses, and data lakes, as well as custom JDBC and Spark connections. We add more transformations like filters, unions, and custom SQL. You can now iterate with Amazon Q on sections of your data integration jobs. These features help you create complex data integration jobs in English. Amazon Q data integration is available in all Amazon Q enabled regions. To learn more about Amazon Q Data Integration, visit the website, documentation, or blog post.

Today, AWS announces the general availability of Amazon Q Developer, a generative AI–powered assistant that reimagines your experience across the entire software development lifecycle (SDLC). Amazon Q Developer includes unique, game-changing capabilities that allow developers to offload time-consuming, manual tasks inside or outside of AWS. Amazon Q Developer capabilities include Q&A and diagnosing common errors in the AWS Management Console, Amazon Q data integration which enables you to build data integration pipelines using natural language, conversational coding and inline code generation in the IDE, and Amazon Q Developer Agent for software development in the IDE and in Amazon CodeCatalyst. Amazon Q Developer also includes Amazon Q Developer Agent for code transformation, a feature that can accelerate your application maintenance, upgrades, and migration in minutes. Additionally, Amazon Q Developer lists and describes resources in your AWS account (preview), and can now help you retrieve and analyze cost data from AWS Cost Explorer (preview). Amazon Q can shorten the time spent on the undifferentiated parts of SDLC activities like researching, planning, coding, testing, debugging, troubleshooting, and modernizing. Amazon Q Developer helps builders learn about AWS services and architectural best practices, diagnose service errors and analyze network reachability, select instances, and optimize their SQL queries and ETL pipelines.   For regional availability for each capability, please see the Amazon Q Developer FAQs. To learn more, visit Amazon Q Developer, documentation, or read the announcement blog. To learn more about pricing, see Amazon Q Developer pricing.

Today, AWS announces the general availability of Amazon Q Business and the preview of Amazon Q Apps, a new Amazon Q Business capability. Amazon Q Business revolutionizes the way that employees interact with organizational knowledge and enterprise systems. It helps users get comprehensive answers to complex questions and take actions in a unified, intuitive web-based chat experience—all using an enterprise’s existing content, data, and systems. Amazon Q Business connects seamlessly to over 40 popular enterprise systems, including Amazon Simple Storage Service (Amazon S3), Microsoft 365, and Salesforce. It ensures that users access content securely with their existing credentials using single sign-on, according to their permissions, and enterprise-level access controls. Amazon Q Apps empowers organizational users to quickly turn their ideas into apps, all in a single step from their conversation with Amazon Q Business or by describing the app that they want to build in natural language. With Amazon Q Apps, users can effortlessly build, share, and customize apps on enterprise data to streamline tasks and boost individual and team productivity. Users can also publish apps to the admin-managed library and share them with their coworkers. Amazon Q Apps inherit user permissions, access controls, and enterprise guardrails from Amazon Q Business for secure sharing and adherence to data governance policies. Amazon Q Business is also introducing custom plugins. Admins can connect any third-party application with custom plugins so that employees can use natural language prompts to perform actions like submitting time-off requests and sending meeting invites directly through Amazon Q Business. Users can also search real-time data, such as employee time-off balances, scheduled meetings, and more. Amazon Q Business and Amazon Q Apps are available in the US East (N. Virginia) and US West (Oregon) AWS Regions. For more information, see Amazon Q Business and read the AWS News Blog.

Today, Amazon Q launched a subscription management service enabling customers to manage subscriptions for Amazon Q plans like Amazon Q Business Pro, Amazon Q Business Lite, and Amazon Q Developer Pro. The new subscription management service offers administrators access to dashboards that provide subscription details, including the specific users and groups assigned to each subscription. This centralized visibility enables tracking Amazon Q subscriptions across the entire organization. Amazon Q’s subscription management service integrates with AWS IAM Identity Center, allowing administrators to configure their AWS Organizations and directly allocate subscriptions to users and groups from Identity Providers like Active Directory.  This integration allows subscription entitlements to persist as users move between AWS accounts and regions within the same organization. The service offers administrators access to dashboards that provide membership details, including the specific users and groups assigned to each subscription. This centralized visibility enables tracking Amazon Q subscriptions across the entire organization. The Amazon Q subscription management portal is available in all IAM Identity Center regions where Amazon Q services are supported. With Amazon Q’s subscription management portal, administrators can now subscribe users to subscription plans such as Amazon Q Business Pro, Amazon Q Business Lite, and Amazon Q Developer Pro.   To learn more about Amazon Q’s subscription management features, visit the Amazon Q documentation.

Starting today, the Amazon CloudWatch metrics for monitoring AWS Config data usage will display only billable usage. With this enhancement, non-billable usage will no longer be displayed in both the Amazon CloudWatch Config metrics and AWS Config console. This allows you to validate AWS Config setup and usage using Amazon CloudWatch metrics and correlate billable usage with associated costs. AWS Config monitors resource configuration changes by generating a configuration item (CI) for each recorded resource type. Additionally, if a resource is not configured to be recorded, AWS Config captures only the creation and deletion of that resource, and no other details, at no cost to you. For example, if you have excluded the AWS::SSM::Document resource type from being recorded, AWS Config will track the creation and deletion events of those resources. With this launch, Amazon CloudWatch metrics for AWS Config usage will display the usage for only those recorded resource types and filters out the non-recorded resource types, giving you a clearer view aligned with their billable usage. This update is now available in all supported AWS Regions. To learn more and get started, please refer to the documentation.

Amazon EventBridge Pipes now supports event delivery through AWS PrivateLink, allowing you to send events from an event source located in an Amazon Virtual Private Cloud (VPC) to a Pipes target without traversing the public internet. With today’s launch, you can use Pipes to poll from Amazon Managed Streaming for Apache Kafka (MSK), self-managed Kafka, and Amazon MQ sources residing in a private subnet without the need to deploy a NAT gateway, configure firewall rules, or set up proxy servers. Amazon EventBridge lets you use events to connect application components, making it easier to build scalable event-driven applications. EventBridge Pipes provides a simple, consistent, and cost-effective way to create point-to-point integrations between event producers and consumers. Pipes enables you to send data from one of 7 different event sources to any of the 20+ targets supported by the EventBridge Event Bus, including HTTPS endpoints through EventBridge API Destinations and event buses themselves. Today’s release of event delivery through AWS PrivateLink further reduces the amount of integration code you need to write and infrastructure you need to maintain when building event-driven applications. AWS PrivateLink support for EventBridge Pipes event delivery is available in all AWS Regions where EventBridge Pipes is available. To learn more about Amazon EventBridge Pipes, visit the EventBridge documentation.

Amazon OpenSearch Service now supports Amazon Route 53 alias records for defining custom domain endpoints. Alias records provide better flexibility when configuring routing to AWS resources. For more information about Route 53 alias records, please see documentation. Previously, customers had to create a CNAME type DNS record to point their custom DNS domain name to the search endpoint exposed by OpenSearch Service. With this launch, along with CNAME support, customers can create a Route 53 alias record of either IPv4 or IPv6 type for their preferred custom endpoint, and point it to their domain’s dual-stack search endpoint. In order to create a Route53 alias record, customers must first configure their Amazon OpenSearch Service domain to use the dual stack ip address type. Customers can setup Route 53 alias records using the Route 53 APIs. Amazon Route 53 alias support for Amazon OpenSearch Service domains is now available in all AWS regions except AWS GovCloud (US) Regions where Amazon OpenSearch service is available. To learn more about Amazon OpenSearch Service, please visit the product page.

Today, Amazon Timestream for LiveAnalytics announces Timestream Compute Unit (TCU), serverless compute capacity, for customers to predict and control query costs. With TCUs, you are charged for the duration of compute units (TCU) used by your queries, and there are no minimum bytes metered for queries. Amazon Timestream for LiveAnalytics is a serverless time-series database that automatically scales to ingest and analyze gigabytes of time-series data. With Timestream Compute Units, you can leverage the pay-per-use pricing with the ability to control the number of TCUs used by your queries, providing the ability to control query costs and adhere to budgets. As the compute units can execute queries concurrently, you can also cost-effectively scale your workload without any per query minimum bytes metered. To get started, use the management console, AWS SDK, or CLI to configure the maximum Timestream Compute Units for your account. New Timestream customers will use TCUs for query pricing. Existing customers can do a one-time opt-in (optional) to use TCUs for better cost controls and to remove per query minimum bytes metered. Timestream compute units will be the default query pricing and is available in all AWS regions the service operates. As Timestream for LiveAnalytics expands to existing AWS regions, the TCU query pricing will be the only option. To learn more about the Timestream Compute Units, see the developer guide. For pricing, visit Timestream pricing page.

Today, AWS announced the opening of a new AWS Direct Connect location within the CyrusOne Aurora data center in Aurora, Illinois. By connecting your network to AWS at the new Illinois location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This is the third AWS Direct Connect site within Chicago Metropolitan area and the 43rd site in the United States.  The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. The new Direct Connect location at CyrusOne Aurora offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available. For more information on the over 140 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

Today, AWS AppFabric announces support for three new data sources: Salesforce, Azure Monitor, and Google Analytics. Starting now, IT administrators and security analysts can use AppFabric to quickly integrate with 29 supported SaaS applications, aggregate enriched and normalized SaaS audit logs, and audit end-user access across their SaaS apps.  AWS AppFabric quickly connects SaaS applications with security tools like Barracuda XDR, Dynatrace, Logz.io, Netskope, NetWitness, Rapid7, and Splunk, or data lakes like Amazon Security Lake. With AppFabric, IT and security teams can more easily manage and secure SaaS applications by aggregating and normalizing log data into a central repository, and employees can soon complete everyday tasks faster using generative artificial intelligence (AI). With today’s announcement, IT and security analysts can improve their SaaS security posture across 29 SaaS applications without managing application specific API integrations. AWS AppFabric is generally available in the following AWS Regions: US East (N. Virginia), Asia Pacific (Tokyo), and Europe (Ireland). To learn more, visit AWS AppFabric.