6/9/2025, 12:00:00 AM ~ 6/10/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon Elastic VMware Service now integrates with Amazon FSx for NetApp ONTAP

Amazon Elastic VMware Service (Amazon EVS), an AWS service that enables you to run VMware Cloud Foundation (VCF) within your Amazon Virtual Private Cloud, now integrates with Amazon FSx for NetApp ONTAP, a fully managed AWS service built on NetApp’s ONTAP file system. With this integration, Amazon EVS customers can use FSx for ONTAP as a scalable, high-performance external datastore for their VCF environments on AWS, enabling them to benefit from cost savings through independent scaling of storage and compute, and automated data tiering. If you’re running VMware with ONTAP on-premises, you can use the same tools and workflows to easily migrate those workloads to AWS and maintain operational consistency.\n NetApp ONTAP is commonly used as the underlying storage for VMware workloads like databases, Virtual Desktop Infrastructure (VDI), and line-of-business applications due to its advanced data management features such as snapshots, clones, replication, and storage efficiencies. With this integration, you can improve agility and reduce costs by scaling storage independently from compute, improve data protection, and further optimize costs with automated data tiering to low-cost storage and storage efficiencies. And, you can now migrate and extend your VMware workloads easily to AWS while leveraging the same data management capabilities. The Amazon EVS integration with FSx for ONTAP is now available for public preview in all AWS Regions where both Amazon EVS and FSx for ONTAP are available. To get started, visit the Amazon EVS website. For more information, visit the FSx for ONTAP documentation.

AWS launches public preview of Amazon Elastic VMware Service (Amazon EVS)

Today, AWS is expanding access to Amazon Elastic VMware Service (Amazon EVS) through public preview. Building on the momentum from the initial private preview announcement at AWS re:Invent 2024, public preview opens access for AWS customers who want to run VMware Cloud Foundation (VCF)-based workloads within their Amazon Virtual Private Cloud (Amazon VPC).\n During public preview, you can leverage VCF license portability entitlements and migrate non-production workloads to Amazon EVS. You can provision and configure your environment through a guided workflow and automatically deploy a fully-functional VCF environment on AWS. Amazon EVS allows you to bring in familiar VCF tools and external storage solutions, including Amazon FSx for NetApp ONTAP, to meet the unique demands of your applications and optimize your virtualization stack in the cloud. At this time, Amazon EVS supports VCF version 5.2.1 and running workloads on i4i.metal instances. You can expect to have the same easy-to-use console interface and functionality at general availability.  Additionally, any environments deployed during the public preview will carry forward without redeployment as the service moves into general availability.

The public preview of Amazon EVS is currently available in five Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), and Europe (Frankfurt).

Access Amazon EVS on the AWS console. Learn more about Amazon EVS on the product page and user guide.

AWS Glue now available in Asia Pacific (Taipei) Region

AWS Glue, a serverless data integration service, is now available in the Asia Pacific (Taipei) region, enabling customers to build and run their ETL workloads closer to their data sources in these regions.\n AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides both visual and code-based interfaces to make data integration simpler, so you can analyze your data and put it to use in minutes. To learn more, visit the AWS Glue product page and our documentation. For AWS Glue region availability, please see the AWS Region table.

AWS Console Mobile Application adds support for CloudWatch Log Insights

AWS customers can now access CloudWatch Log Insights from within the AWS Console Mobile App to search and analyze log data in CloudWatch Logs while on the go. AWS customers can perform queries to more efficiently and effectively respond to operational issues. If an issue occurs, AWS customers can use CloudWatch Log Insights to identify potential causes and validate deployed fixes. Visit the Services tab in the AWS Console Mobile App and select CloudWatch. Then tap on Log Insights to get started.\n The AWS Console Mobile App enables AWS customers monitor and manage a select set of resources and receive push notifications to stay informed and connected with their AWS resources while on-the-go. The sign-in process supports biometrics authentication, making access to AWS resources simple, secure, and quick. For AWS services not available natively, customers can access the AWS Management Console via an in-app browser to access service pages without additional authentication, manual navigation, or need to switch from the app to a browser. Visit the AWS Console Mobile App product page for more information about the AWS Console Mobile App, including a full list of supported services and regions. Visit the CloudWatch Log Insights documentation page for more information about CloudWatch Log Insights.

Amazon Connect launches profile explorer for unified customer views

Amazon Connect Customer Profiles now offers profile explorer, a new capability that enables organizations to access a unified, customized view of Amazon Connect Customer Profiles. This intuitive interface enables organizations to better understand and engage with their customers across all touchpoints, enhancing the existing Amazon Connect Customer Profiles service by providing real-time user access to customer information, interaction history and AI-powered insights.\n With profile explorer, users can search and find end customers using multiple identifiers simultaneously, such as email, phone number, or booking references, with real time results. Customer service teams can customize their views to highlight the most relevant information for their specific needs, including demographic data, communication history, behavioral patterns, and segment membership. Profile explorer also provides AI-generated customer summaries that highlight key patterns and deliver personalized behavioral insights, helping organizations make data-driven decisions to improve customer experiences and drive loyalty. Profile explorer is available in US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt) and Europe (London) AWS regions. AI summary is currently not available in Africa (Cape Town). To learn more, visit Amazon Connect Customer Profiles webpage or see the Amazon Connect Customer Profiles profile explorer documentation page.

Announcing open sourcing pgactive: active-active replication extension for PostgreSQL

Today, AWS announces the open sourcing of pgactive, a PostgreSQL extension for active-active replication. pgactive lets you use asynchronous active-active replication for streaming data between database instances to provide additional resiliency and flexibility in moving data between database instances, including writers located in different regions. This helps maintain availability for operations like switching write traffic to a different instance.\n pgactive builds on the foundation PostgreSQL logical replication features, such as bidirectional replication between tables starting in PostgreSQL 16, adding capabilities that simplify managing active-active replication scenarios. Open sourcing the pgactive extension allows for more collaboration on developing active-active capabilities of PostgreSQL, while offering features that simplify using PostgreSQL in scenarios that benefit from multiple active instances. To learn more about pgactive and how to get started, visit the GitHub repository.

Amazon Connect introduces enhanced calculated attributes

Amazon Connect Customer Profiles now offers enhanced calculated attributes with timestamp controls, historical data backfill, and improved limits to help businesses transform customer data into actionable insights. Customers now can specify timestamps on their data, including future-dated events, and process historical data information with increased limits.\n Amazon Connect Customer Profiles offers calculated attributes that transform customer behavior data (e.g., contacts, orders, web visits) into actionable insights such as a customer’s preferred channel to drive proactive outbound campaigns, dynamic routing, and personalize IVRs without requiring engineering resources. With new enhancements, customers can now create more accurate and relevant calculated attributes by controlling which timestamps are used for calculations and ensuring proper chronological ordering regardless of the ingestion sequence. The new historical calculation capability automatically includes previously ingested data when creating new attributes, eliminating the wait time for meaningful insights for customer engagement. These enhancements enable sophisticated use cases like tracking upcoming appointments, analyzing long-term customer behavior patterns, evaluating customer lifetime value, and ensuring agents are prepared with relevant context before customer interactions. Amazon Connect Customer Profiles is available in US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), and Europe (London). To learn more, refer to our help documentation, visit our webpage, and view the API reference guide.

Amazon CloudWatch agent adds support for EBS detailed performance statistics

Amazon CloudWatch agent now supports collecting detailed performance statistics for Amazon Elastic Block Store (EBS) volumes attached to Amazon EC2 instances and Amazon EKS nodes. The CloudWatch agent can be configured to collect NVMe-based metrics including queue depth, number of operations, bytes sent and received, and time spent on read and write I/O operations, making them available as custom metrics in CloudWatch.\n This enhancement provides customers more granular visibility into their volume’s I/O performance so they can quickly identify and proactively troubleshoot application performance bottlenecks. Customers can use these detailed metrics in CloudWatch to analyze I/O patterns, track performance trends, create custom dashboards, and set up automated alarms based on performance thresholds, helping them maintain optimal storage performance and improve resiliency for their workloads and applications. EBS detailed performance statistics via Amazon CloudWatch agent are available for all EBS volumes attached to Nitro-based EC2 instances in all AWS Commercial and AWS GovCloud (US) Regions. See the Amazon CloudWatch pricing page for CloudWatch pricing details. To get started with detailed performance statistics for Amazon Elastic Block Store (EBS) volumes in CloudWatch, see Configuring the CloudWatch agent in the Amazon CloudWatch User Guide. To learn more about detailed performance statistics for Amazon Elastic Block Store (EBS) volumes, see Amazon EBS detailed performance statistics in the Amazon EBS User Guide.

AWS HealthLake is now available in the AWS Europe (Ireland) Region

Starting today, European healthcare and life sciences customers can use AWS HealthLake to store, transform, and analyze their health data in FHIR (Fast Healthcare Interoperable Resources) standards while maintaining data residency within the EU.\n AWS HealthLake is a fully managed FHIR storage, transactional, and analytics service. Customers can normalize and store health data from disparate raw data sources into a FHIR data store, and leverage HealthLake FHIR-based APIs to build interactive applications and interoperability workflows. Next, customers can leverage the HealthLake Analytics module to automatically transform FHIR data into an analytics-ready format for population health analytics, build patient cohorts, or train predictive models to improve quality of care. HealthLake data stores easily integrate with AWS AI and analytics tools such as Amazon Athena for SQL queries, Amazon QuickSight for visualization, and Amazon SageMaker for training and drawing inferences from ML models.

In addition to Europe (Ireland), AWS HealthLake is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Europe West (London), and Asia Pacific SouthEast (Sydney) Regions. Visit the AWS Region Table to see all the regions. To learn more, see the AWS HealthLake product page.

Amazon EFS now supports Internet Protocol Version 6 (IPv6)

Amazon Elastic File System (EFS) now supports Internet Protocol Version 6 (IPv6) for both EFS APIs and mount targets, enabling customers to manage and mount file systems using IPv4, IPv6, or dual-stack clients.\n This launch helps customers meet IPv6 compliance requirements and eliminates the need for complex infrastructure to handle IPv6 to IPv4 address translation. Customers can now use IPv6 clients to access EFS APIs through new dual-stack endpoints. Additionally, customers can mount file systems using IPv6 by specifying an IP address type when creating mount targets. EFS offers IPv6 support in all AWS Commercial and the AWS GovCloud (US) Regions. To get started using IPv6 on EFS, refer to the EFS user guide.

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