Kategorie: Amazon AWS

AWS Glue Data Quality now supports rule labeling for enhanced reporting

Today, AWS announces the general availability of rule label, a feature of AWS Glue Data Quality, enabling you to apply custom key-value pair labels to your data quality rules for improved organization, filtering, and targeted reporting. This enhancement allows you to categorize data quality rules by business context, team ownership, compliance requirements, or any custom taxonomy that fits your data quality and governance needs. Rule labels provide effective way to organize analyze data quality results. You can query results by specific labels to identify failing rules within particular categories, count rule outcomes by team or domain, and create focused reports for different stakeholders. For example, you can apply all rules that pertain to finance team with a label “team=finance” and generate a customized report to showcase quality metrics specific to finance team. You can label high priority rules with “criticality=high” to prioritize remediation efforts. Labels can be authored as part of the DQDL. You can query the labels as part of rule outcomes, row-level results, and API responses, making it easy to integrate with your existing monitoring and reporting workflows. AWS Glue Data Quality rule labeling is available in all commercial AWS Regions where AWS Glue Data Quality is available. See the AWS Region Table for more details. To learn more about rule labeling, see the AWS Glue Data Quality documentation.
Quelle: aws.amazon.com

Amazon MSK Replicator is now available in five additional AWS Regions

You can now use Amazon MSK Replicator to replicate streaming data across Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters in five additional AWS Regions: Asia Pacific (Thailand), Mexico (Central), Asia Pacific (Taipei), Canada West (Calgary), Europe (Spain). MSK Replicator is a feature of Amazon MSK that enables you to reliably replicate data across Amazon MSK clusters in different or the same AWS Region(s) in a few clicks. With MSK Replicator, you can easily build regionally resilient streaming applications for increased availability and business continuity. MSK Replicator provides automatic asynchronous replication across MSK clusters, eliminating the need to write custom code, manage infrastructure, or setup cross-region networking. MSK Replicator automatically scales the underlying resources so that you can replicate data on-demand without having to monitor or scale capacity. MSK Replicator also replicates the necessary Kafka metadata including topic configurations, Access Control Lists (ACLs), and consumer group offsets. If an unexpected event occurs in a region, you can failover to the other AWS Region and seamlessly resume processing. You can get started with MSK Replicator from the Amazon MSK console or the Amazon CLI. To learn more, visit the MSK Replicator product page, pricing page, and documentation.
Quelle: aws.amazon.com

Amazon CloudFront announces support for mutual TLS authentication

Amazon CloudFront announces support for mutual TLS Authentication (mTLS), a security protocol that requires both the server and client to authenticate each other using X.509 certificates, enabling customers to validate client identities at CloudFront’s edge locations. Customers can now ensure only clients presenting trusted certificates can access their distributions, helping protect against unauthorized access and security threats. Previously, customers had to spend ongoing effort implementing and maintaining their own client access management solutions, leading to undifferentiated heavy lifting. Now with the support for mutual TLS, customers can easily validate client identities at the AWS edge before connections are established with their application servers or APIs. Example use cases include B2B secure API integrations for enterprises and client authentication for IoT. For B2B API security, enterprises can authenticate API requests from trusted third parties and partners using mutual TLS. For IoT use cases, enterprises can validate that devices are authorized to receive proprietary content such as firmware updates. Customers can leverage their existing third-party Certificate Authorities or AWS Private Certificate Authority to sign the X.509 certificates. With Mutual TLS, customers get the performance and scale benefits of CloudFront for workloads that require client authentication. Mutual TLS authentication is available to all CloudFront customers at no additional cost. Customers can configure mutual TLS with CloudFront using the AWS Management Console, CLI, SDK, CDK, and CloudFormation. For detailed implementation guidance and best practices, visit CloudFront Mutual TLS (viewer) documentation.
Quelle: aws.amazon.com

Amazon EC2 announces interruptible Capacity Reservations

Today, Amazon EC2 announces interruptible Capacity Reservations to help you better utilize your reserved capacity and save costs. On-Demand Capacity Reservations (ODCRs) help you reserve compute capacity in a specific Availability Zone for any duration. When ODCRs are not in use, you can now make them temporarily available as interruptible ODCRs, enabling other workloads within your organization to utilize them while preserving your ability to reclaim the capacity for critical operations. By repurposing unused capacity as interruptible ODCRs, workloads suitable for flexible, fault-tolerant operations—such as batch processing, data analysis, and machine learning training can benefit from temporarily available capacity. Reservation owners can reclaim their capacity at any time, while consumers of interruptible ODCRs will receive an interruption notice before termination to allow for graceful shutdown or checkpointing before. Interruptible ODCRs are now available at no additional cost to all Capacity Reservations customers. Refer to the AWS Capabilities by Region website for the feature’s regional availability. CloudFormation support will be coming soon. For more details, please refer to the Capacity Reservations user guide.
Quelle: aws.amazon.com

AWS IoT Core now supports IoT thing registry data retrieval from IoT rules

AWS IoT Core announces a new capability to dynamically retrieve IoT thing registry data using an IoT rule, enhancing your ability to filter, enrich, and route IoT messages. Using the new get_registry_data() inline rule function, you can access IoT thing registry data, such as device attributes, device type, and group membership and leverage this information directly in IoT rules. For example, your rule can filter AWS IoT Core connectivity lifecycle events and then retrieve thing attributes (such as “test” or “production” device) to inform routing of lifecycle events to different endpoints for downstream processing. You can also use this feature to enrich or route IoT messages with registry data from other devices. For instance, you can add a sensor’s threshold temperature from IoT thing registry to the messages relayed by its gateway. To get started, connect your devices to AWS IoT Core and store your IoT device data in IoT thing registry. You can then use IoT rules to retrieve your registry data. This capability is available in all AWS regions where AWS IoT Core is present. For more information refer to the developer guide and API documentation.
Quelle: aws.amazon.com

AWS Elemental MediaTailor now supports HLS Interstitials for live streams

AWS Elemental MediaTailor now supports HTTP Live Streaming (HLS) Interstitials for live streams, enabling broadcasters and streaming service providers to deliver seamless, personalized ad experiences across a wide range of modern video players. This capability allows customers to insert interstitial advertisements and promotions directly into live streams using the HLS Interstitials specification (RFC 8216), which is natively supported by popular players including HLS.js, Shaka Player, Bitmovin Player, and Apple devices running iOS 16.4, iPadOS 16.4, tvOS 16.4, and later. With HLS Interstitials, MediaTailor automatically generates the necessary metadata tags (Interstitial class EXT-X-DATERANGE with X-ASSET-LIST attributes) that signal to client players when and how to play interstitial content. This approach eliminates the need for custom player-side stitching logic, reducing development complexity and ensuring consistent playback behavior. The feature integrates with MediaTailor’s existing server-side ad insertion (SSAI) capabilities, delivering frame-accurate transitions with no buffering between content and interstitials. Server-side beaconing continues to work with HLS Interstitials, ensuring ad tracking and measurement workflows remain intact. HLS Interstitials for live streams is particularly valuable for sports broadcasts, live news, and event streaming where precise ad timing and minimal latency are critical. The feature supports pre-roll and mid-roll insertion, giving customers flexibility in how they monetize their live content. This launch complements MediaTailor’s existing HLS Interstitials support for VOD, rounding out support across Linear, Live, FAST, and VOD workflows. MediaTailor makes it easy to test and deploy—customers can rapidly enable or disable HLS Interstitials with a simple query parameter on the multi-variant manifest request, providing per playback session control without changing the underlying MediaTailor configuration. AWS Elemental MediaTailor HLS Interstitials for live streams is available today in all AWS Regions where MediaTailor operates. You pay only for the features you use, with no upfront commitments. To learn more and get started, visit the AWS Elemental MediaTailor documentation and the HLS Interstitials implementation guide.
Quelle: aws.amazon.com

Amazon Connect flow modules now support custom inputs, outputs, and version management

Amazon Connect flow modules now support custom inputs, outputs, and branches, along with version and alias management. With this launch, you can now define flexible parameters for your reusable flow modules to math your specific business logic. For example, you can create an authentication module that accepts a phone number and PIN as inputs, then returns the customer name and authentication status as outputs with branches such as “authenticated” or “not authenticated”. All parameters are customizable to meet your specific needs. Additionally, advanced versioning and aliasing capabilities allow you to manage module updates more seamlessly. You can create immutable version snapshots and map aliases to specific versions. When you update an alias to point to a new version, all flows using that module automatically reference the updated version. These new features make flow modules more powerful and reusable, allowing you to build and maintain flows more efficiently. To learn more about these feature, see the Amazon Connect Administrator Guide. This feature is available in all AWS regions that offers Amazon Connect. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.
Quelle: aws.amazon.com

Amazon U7i instances now available in Asia Pacific (Jakarta) Region

Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the Asia Pacific (Jakarta) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-6tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.
Quelle: aws.amazon.com

AWS Lambda announces enhanced error handling capabilities for Kafka event processing

AWS Lambda launches enhanced error handling capabilities for Amazon Managed Streaming for Apache Kafka (MSK) and self-managed Apache Kafka (SMK) event sources. These capabilities allow customers to build custom retry configurations, optimize retries of failed messages, and send failed events to a Kafka topic as an on-failure destination, enabling customers to build resilient Kafka workloads with robust error handling strategies. Customers use Kafka event source mappings (ESM) with their Lambda functions to build their mission-critical Kafka applications. Kafka ESM offers robust error handling of failed events by retrying events with exponential backoff, and retaining failed events in on-failure destinations like Amazon SQS, Amazon S3, Amazon SNS. However, customers need customized error handling to meet stringent business and performance requirements. With this launch, developers can now exercise precise control over failed event processing and leverage Kafka topics as an additional on-failure destination when using Provisioned mode for Kafka ESM. Customers can now define specific retry limits and time boundaries for retry, automatically discarding failed records beyond these limits to customer-specified destination. They can now also set automatic retries of failed records in the batch and enhance their function code to report individual failed messages, optimizing the retry process. This feature is available in all AWS Commercial Regions where AWS Lambda’s Provisioned mode for Kafka ESM is available. To enable these capabilities, provide configuration parameters for your Kafka ESM in the ESM API, AWS Console, and AWS CLI. To learn more, read the Lambda ESM documentation and AWS Lambda pricing. 
Quelle: aws.amazon.com

OpenSearch Service Enhances Log Analytics with New PPL Experience

Today, AWS announces enhanced log analytics capabilities in Amazon OpenSearch Service, making Piped Processing Language (PPL) and natural language the default experience in OpenSearch UI’s Observability workspace. This update combines proven pipeline syntax with simplified workflows to deliver an intuitive observability experience, helping customers analyze growing data volumes while controlling costs. The new experience includes 35+ new commands for deep analysis, faceted exploration, and natural language querying to help customers gain deeper insights across infrastructure, security, and business metrics. With this enhancement, customers can streamline their log analytics workflows using familiar pipeline syntax while leveraging advanced analytics capabilities. The solution includes enterprise-grade query capabilities, supporting advanced event correlation using natural language that help teams uncover meaningful patterns faster. Users can seamlessly move from query to visualization within a single interface, reducing mean time to detect and resolve issues. Admins can quickly stand up an end-to-end OpenTelemetry solution using OpenSearch’s Get Started workflow in the AWS console. The unified workflow includes out-of-the-box OpenSearch Ingestion pipelines for OpenTelemetry data, making it easier for teams to get started quickly. Amazon OpenSearch UI is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Osaka), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Europe (Ireland), Europe (London), Europe (Frankfurt), Europe (Paris), Europe (Stockholm), Europe (Milan), Europe (Spain), Europe (Zurich), South America (São Paulo), and Canada (Central). To learn more about the new OpenSearch log analytics experience, visit the OpenSearch Service observability documentation and start using these enhanced capabilities today in OpenSearch UI.
Quelle: aws.amazon.com