All news with #aws tag

AWS MediaTailor Adds HLS Interstitials for Live Streams

🎥 AWS Elemental MediaTailor now supports HLS Interstitials for live streams, enabling broadcasters and streaming services to insert interstitial ads using the HLS Interstitials specification. MediaTailor generates necessary metadata tags (EXT-X-DATERANGE with X-ASSET-LIST) for compatible players such as HLS.js, Shaka, Bitmovin and Apple devices, removing the need for custom client stitching. The capability integrates with MediaTailor's server-side ad insertion for frame-accurate, buffer-free transitions and preserves server-side beaconing for measurement. It supports pre-roll and mid-roll, can be toggled per playback session via a manifest query parameter, and is available in all Regions where MediaTailor operates on a pay-as-you-go basis.

AWS launches U7i-6tb EC2 high-memory instances in Jakarta

🚀 Amazon EC2 High Memory U7i instances (u7i-6tb.112xlarge) are now available in Asia Pacific (Jakarta), offering 6TB of DDR5 memory and 448 vCPUs powered by custom Intel Sapphire Rapids processors. The instances support up to 100Gbps for EBS and networking and include ENA Express for lower-latency, consistent network performance. They are positioned for mission-critical in-memory databases such as SAP HANA, Oracle, and SQL Server, enabling higher transaction throughput and faster data loading and backups.

AWS Glue: Catalog Federation for Remote Iceberg Catalogs

🔗 AWS announces general availability of AWS Glue catalog federation for remote Apache Iceberg catalogs. The feature enables analytics engines to query Iceberg tables stored in Amazon S3 and cataloged remotely without moving or copying data, with real-time metadata synchronization to the AWS Glue Data Catalog. It leverages AWS Lake Formation for fine-grained access controls and supports the Iceberg REST specifications; federation is available in the Lake Formation console and via SDKs/APIs.

Anthropic Claude Opus 4.5 Now Available in Amazon Bedrock

🚀 Anthropic's Claude Opus 4.5 is now available through Amazon Bedrock, giving Bedrock customers access to a high-performance foundation model at roughly one-third the prior cost. Opus 4.5 advances professional software engineering, agentic workflows, multilingual coding, and complex visual interpretation while supporting production-grade agent deployments. Bedrock adds two API features — tool search and tool use examples — plus a beta effort parameter to balance reasoning, tool calls, latency, and cost. The model is offered via global cross-region inference in multiple AWS regions.

Amazon Quick Suite Embedded Chat Now Generally Available

💬 AWS announced general availability of Amazon Quick Suite Embedded Chat, a ready-made conversational AI you can embed into applications via one-click embedding or API-based iframes. The agent unifies structured data and unstructured knowledge in a single conversation so users can reference KPIs, pull file details, check customer feedback, and trigger actions without leaving the app. Connectors include SharePoint, websites, Slack, and Jira, and enterprises retain control over data access and action scopes. Embedded Chat is available in select Regions with no additional charge beyond existing Quick Suite pricing.

Amazon Connect flow modules: custom IO and versioning

🧩 Amazon Connect flow modules now support custom inputs, outputs and branching logic, plus advanced versioning and alias management. You can define flexible parameters for reusable modules—for example, an authentication module that accepts a phone number and PIN and returns customer name and authentication status with branches like authenticated or not authenticated. Immutable version snapshots and alias mapping let teams update module implementations while flows referencing an alias automatically use the new version, simplifying maintenance and reuse.

AWS Lambda adds customizable error handling for Kafka

🔁 AWS Lambda now offers enhanced error handling for Amazon Managed Streaming for Apache Kafka (MSK) and self-managed Kafka event sources, enabling developers to define custom retry configurations and route failed messages to a Kafka topic as an on-failure destination. The update extends Kafka event source mapping (ESM) in Provisioned mode to support retry limits, time-bound retry windows, automatic discards of exceeded records, and per-message failure reporting to optimize retries. Configure these settings via the ESM API, AWS Console, or AWS CLI.

SageMaker HyperPod Adds NVIDIA MIG GPU Partitioning

🚀 Amazon SageMaker HyperPod now supports NVIDIA Multi-Instance GPU (MIG), enabling administrators to partition a single GPU into multiple isolated devices to run simultaneous small generative AI tasks. Administrators can use an easy console configuration or a custom setup for fine-grained hardware isolation, allocate compute quotas across teams, and monitor real-time performance per partition via a utilization dashboard. Available on HyperPod clusters using the EKS orchestrator in multiple AWS Regions, this capability reduces wait times by letting data scientists run lightweight inference and interactive notebooks in parallel without consuming full GPU capacity.

CloudFront BYOIP for Anycast Static IPs via VPC IPAM

🌐 Amazon CloudFront now supports bringing your own IP addresses (BYOIP) for Anycast Static IPs through VPC IP Address Manager (IPAM). Network teams can register and manage public IPv4 address pools in IPAM and assign dedicated Anycast Static IP lists to CloudFront distributions, preserving existing allow-lists and avoiding changes to application address space. The capability simplifies IP address management across AWS's global edge network and improves partner reachability and security. It is available in all commercial AWS Regions except AWS GovCloud (US) and the China regions.

Amazon OpenSearch Service: OpenSearch 3.3 Now Available

📢 Amazon OpenSearch Service now supports OpenSearch 3.3, introducing search performance, observability, and agentic AI integration improvements. Vector search enhancements include agentic search for natural-language queries without complex DSLs, batch processing for the semantic highlighter to lower latency and improve GPU utilization, and optimizations in the Neural Search plugin. The release also makes Apache Calcite the default query engine for PPL, adds a broader PPL command library, and improves the approximation framework for more responsive pagination and dashboards. A new workload management plugin enables grouping of search traffic and tenant-level network isolation to prevent resource overuse.

Amazon Aurora PostgreSQL Adds Dynamic Data Masking

🔒 Amazon Aurora PostgreSQL-Compatible Edition now supports dynamic data masking using the new pg_columnmask extension, enabling column-level protection at query time. The extension complements PostgreSQL row-level security and column grants by letting administrators define SQL-based masking policies that alter how data appears to users without changing stored values. Policies can use built-in or user-defined functions to hide, partially mask, or transform data, and multiple policies can be applied with weighted precedence. pg_columnmask protects results across WHERE, JOIN, ORDER BY, and GROUP BY clauses and is available for Aurora PostgreSQL 16.10+ and 17.6+ in all regions.

Amazon SageMaker HyperPod Adds Spot Instance Support

⚡ Amazon SageMaker HyperPod now supports Spot Instances, enabling customers to reduce GPU compute costs by up to 90% compared with on-demand instances. The integration is available on HyperPod EKS clusters and works with Karpenter for intelligent autoscaling, automatic Spot capacity discovery, and interruption handling. You can enable Spot when creating instance groups via the CreateCluster API or the AWS Console, and the feature supports all HyperPod instance types across available regions.

Amazon EMR Serverless Adds Apache Spark 4.0.1 (Preview)

🚀 Amazon EMR Serverless now supports Apache Spark 4.0.1 (preview), enabling teams to build data pipelines using standard ANSI SQL and native VARIANT types for semi-structured data. The release adds Apache Iceberg v3 table format to provide transactional guarantees and audit-ready change tracking. Improved streaming controls make it easier to manage stateful, real-time applications and monitor streaming jobs.

Amazon Athena for Apache Spark Integrated with SageMaker

🚀 Amazon SageMaker now supports Amazon Athena for Apache Spark, combining a new notebook experience with a fast serverless Spark runtime in a single workspace. Data engineers, analysts, and data scientists can query data, run Python, develop jobs, train models, and visualize results with no infrastructure to manage and second-level billing. The service runs Spark 3.5.6, is optimized for Apache Iceberg and Delta Lake, and adds debugging, real-time Spark UI monitoring, and secure Spark Connect communication. Table-level access controls are enforced through AWS Lake Formation.

AWS Payments Cryptography Adds Hybrid Post-Quantum TLS

🔐 AWS Payments Cryptography now supports hybrid post-quantum TLS to protect API calls and long-lived data-in-transit using ML-KEM-based PQC. This helps enterprises mitigate “harvest now, decrypt later” risks by combining classical and post-quantum key establishment. Customers enable PQ-TLS by upgrading to a compatible AWS SDK or browser and can verify sessions via tlsDetails in CloudTrail. The capability is generally available across Regions at no added cost.

AWS Device Farm: Managed Appium Endpoint for Live Testing

📱 AWS Device Farm now provides a fully managed Appium endpoint that developers can connect to with just a few lines of code to run interactive tests on multiple real devices from their IDE or local machine. The capability integrates with third-party tools such as Appium Inspector (hosted and local) for element inspection and debugging. Live video and log streaming deliver faster feedback in local workflows while existing server-side execution remains available for scaled, secure enterprise runs.

Practical Steps to Minimize Key Exposure in AWS Environments

🔐 This AWS Security blog by Jennifer Paz outlines a layered, practical approach to reduce exposure from long‑term AWS credentials. It recommends discovery and risk assessment with CodeGuru Security, IAM Access Analyzer, credential reports, and Trusted Advisor, followed by enforcement using SCPs and RCPs to create a network data perimeter. The post also covers runtime protections (security groups, NACLs, Network Firewall, AWS WAF), automated rotation using Secrets Manager or rotation patterns, and threat detection via GuardDuty, all intended to bridge the gap until migration to temporary credentials is feasible.

EC2 Image Builder Adds Automatic Versioning Support

🔁 EC2 Image Builder now supports automatic versioning for recipes and automatic build version increments for components, removing the need to manually manage version numbers. You can place an 'x' placeholder to auto-increment any position in a recipe version and use wildcard patterns to resolve to the highest compatible version in pipelines. The feature is available across all AWS regions, including China and GovCloud, and is accessible via Console, CLI, API, CloudFormation, and CDK.

Bedrock Guardrails: Natural-Language Test Generation

🧪 Amazon Web Services has added natural-language test Q&A generation to Automated Reasoning checks in Amazon Bedrock Guardrails. The capability generates up to N test Q&As from input documents to accelerate creating and validating formal verification policies. Automated Reasoning checks apply formal methods to detect correct model outputs and report up to 99% accuracy in identifying correct responses and reducing hallucinations. The feature is available in multiple US and EU Regions and accessible via the Bedrock console and Python SDK.

AWS Security Incident Response: AI Investigative Agent

🔎 The new AI-powered investigative agent in AWS Security Incident Response automates evidence collection, correlation, and timeline building to speed incident investigations from hours to minutes. It interactively asks clarifying questions, queries CloudTrail, IAM, EC2, and cost data, and summarizes critical findings and timelines. The capability is available now across commercial AWS Regions and is included with the service’s metered pricing.