All news with #aws tag

🔒 The AWS Secrets Manager Agent now supports pre-fetching secrets at startup and assuming an IAM role for retrieval. With pre-fetching you can specify a list of secrets or a tag to retrieve and cache via BatchGetSecretValue, reducing application startup latency and API overhead. The agent can also assume a provided role ARN per pre-fetch or HTTP request to enable cross-account secret retrieval. These capabilities are available in all Regions where Secrets Manager is offered.

🔍 Amazon CloudWatch Logs now returns up to 100,000 query results when using the Logs Insights query language; customers can set the desired limit via the LIMIT command. The GetQueryResults API supports pagination, returning up to 10,000 results per call with a continuation token. This increase is available in all commercial AWS regions and supported via the console, AWS CLI, AWS CDK, and AWS SDKs.

🚀 Amazon has expanded availability of Amazon EMR Serverless to six additional AWS Regions: Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Asia Pacific (New Zealand), Asia Pacific (Taipei), Asia Pacific (Thailand), and Mexico (Central). EMR Serverless lets data engineers and analysts run Apache Spark and Apache Hive workloads without managing clusters, offering fine-grained automatic scaling, fast launch times, and customizable worker configurations. It supports batch, interactive, and streaming workloads for cost-effective petabyte-scale analytics.

💬 AWS announces that Partner Central agents let partners create sales opportunities via natural language conversation instead of multi-step forms. Released March 16, 2026 and built on Amazon Bedrock AgentCore, the agents ingest meeting notes, proposals, and transcripts (PDF, DOCX, Excel, TXT), extract details, and recommend improvements. Accessible through Amazon Q chat in the AWS Console and programmatically via Model Context Protocol (MCP), they aim to reduce data entry, improve pipeline hygiene, and shorten sales cycles across all commercial AWS Regions.

🔒 The AWS AI Security Framework presents a structured model that helps security and business leaders align the right controls to the right use case, at the right layer, and at the right phase so AI can move from prototype to production securely. Its core principle is that you build AI on top of security, not add security later. The post maps controls across three layers—infrastructure, identity and data, and AI application—and across four use cases from answering to agentic and physical AI. It highlights Amazon Bedrock and AgentCore as pillars that decouple model choice from security infrastructure.

🛠️ Agents can now edit and delete related items directly within the Amazon Connect Cases agent workspace, enabling updates to comments, unlinking misassociated contacts, and removing cases opened in error. The release also lets agents create, modify, and delete custom related items such as orders, returns, and invoices to enrich case context. The capability reduces dependency on administrators and accelerates case resolution across multiple AWS regions.

🔒 Amazon RDS for PostgreSQL now offers Extended Support minor versions 11.22-rds.20260224, 12.22-rds.20260224, and 13.23-rds.20260224. We recommend upgrading to these releases to address known security vulnerabilities and bug fixes present in prior PostgreSQL versions. Use automatic minor version upgrades during scheduled maintenance windows and the AWS Organizations Upgrade Rollout Policy to stage upgrades across accounts. Consider Blue/Green deployments with physical replication to minimize downtime when applying minor version updates.

🔄 Amazon Managed Grafana now supports an in-place upgrade from Grafana 10.4 to 12.4 via the AWS Console, AWS SDK, or AWS CLI. Version 12.4 introduces native Scenes-powered dashboards and queryless Drilldown apps for point-and-click exploration of Prometheus metrics, Loki logs, Tempo traces, and Pyroscope profiles. The Amazon CloudWatch plugin gains PPL/SQL support, cross-account Metrics Insights, and log anomaly detection, while the rebuilt table visualization improves performance and interactivity. The in-place upgrade is supported in all AWS regions where Amazon Managed Grafana is generally available.

🔔 AWS has opened the public preview of AWS Interconnect - multicloud with Oracle Cloud Infrastructure (OCI), enabling customers to provision resilient, private connections between AWS and OCI from the us-east-1 (N. Virginia) Region. The service implements an open specification already used for Google Cloud (GA) and planned for Microsoft Azure in 2026. Customers can create preview connections via the AWS Management Console, CLI, or API, simplifying multicloud networking and reducing the need for DIY global network architectures.

🔔 AWS Organizations now supports higher quotas for service control policies (SCPs): the maximum number of SCPs that can be attached to a single node (root, OU, or account) has increased from 5 to 10, and the maximum SCP size has increased from 5,120 to 10,240 characters. These higher quotas let you write SCPs with finer-grained permissions and conditions and attach more SCPs per node to build more comprehensive security controls across your organization. The changes are available automatically in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions with no action required.

🔐 Amazon CloudFront now supports Online Certificate Status Protocol (OCSP) for viewer mutual TLS (mTLS), allowing real-time validation of client certificate revocation during connection establishment. Previously, revocation was handled via CloudFront Functions and KeyValueStore with static lists. CloudFront now queries the OCSP responder embedded in certificates and caches responses up to 30 minutes. The OCSP result is exposed to connection functions for custom logic.

🌐 AWS outlines how to present a single, brand-aligned vanity entry point (for example, aws.mycompany.com) in front of IAM Identity Center multi-Region access portals. The approach uses Amazon Route 53 latency-based routing, Application Load Balancer 302 redirects, and optional Amazon ARC Region switches for automated failover while TLS is managed through AWS Certificate Manager. Traffic is directed to the nearest healthy regional portal and the vanity domain does not persist in the browser address bar.

🚀 Amazon Web Services has launched EC2 High Memory U7i instances in the AWS Europe (Paris) region, adding u7i-12tb.224xlarge and u7in-16tb.224xlarge. These 7th-generation instances use custom 4th-generation Intel Xeon Scalable (Sapphire Rapids) processors and provide 12 TiB or 16 TiB of DDR5 memory with 896 vCPUs. They offer up to 100 Gbps of Amazon EBS bandwidth, ENA Express, and up to 200 Gbps network bandwidth on the 16 TiB variant, delivering up to 45% better price performance versus prior U-1 instances. Ideal for mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.

🚀 Amazon SageMaker AI now supports serverless customization for the Qwen3.6 27B parameter model using supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT). This extends SageMaker's existing fine-tuning support for Qwen3.5 and other open-weight models. Serverless customization removes infrastructure management—SageMaker handles provisioning and orchestration—so teams pay only for what they use. The feature is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and EU (Ireland).

🛠️ AWS announced general availability of the agent builder toolkit Kiro Power for AWS Transform, enabling partners and customers to create customized transformation agents tailored to modernization projects. The toolkit supports the full agent lifecycle—build with Kiro Power, share across teams and partner networks, and register agents with AWS Transform for discovery. It's available in the Kiro Power marketplace and targets Migration and Modernization Competency Partners, ISVs, and customers.

🛠️ AWS has made its AWS Transform agents available through an agent plugin, a Kiro Power in the Kiro marketplace, and the AWS Transform MCP server. Developers can now invoke transformation capabilities from their IDE, the web console, or programmatically, maintaining consistent job state across surfaces. IAM role authentication is supported, enabling use of existing AWS credentials for environments, workspaces, and jobs.

🔁 Amazon Aurora DSQL now supports change data capture (CDC) in preview, enabling real-time streaming of database changes directly to Amazon Kinesis Data Streams. The fully managed capability captures insert, update, and delete operations as discrete change events and removes the need to build and maintain custom streaming pipelines. It is designed for zero impact on database throughput and latency, requires no infrastructure setup, and integrates with AWS Lambda and Data Firehose for downstream delivery. CDC streaming in preview is available in all Regions where Aurora DSQL is offered and is billed using Distributed Processing Units (DPUs); standard Amazon Kinesis pricing applies separately.

🔔 AWS has added GLM-5.1-FP8 (from Z.ai) and Phi-4-mini-instruct (from Microsoft) to Amazon SageMaker JumpStart, expanding foundation model choices for enterprise workloads. GLM-5.1-FP8 targets agentic software engineering and multi-round optimization for repository-level code, debugging, and long-horizon automation. Phi-4-mini-instruct provides compact, low-latency reasoning across 24 languages and supports function calling for edge and latency-sensitive use cases. Customers can deploy these models via SageMaker Studio or the SageMaker Python SDK in a few clicks.

🔊 AWS has added three Qwen speech foundation models—Qwen3-TTS-12Hz-1.7B-CustomVoice, Qwen3-TTS-12Hz-1.7B-Base, and Qwen3-ASR-1.7B—to Amazon SageMaker JumpStart. The models deliver multilingual text-to-speech and automatic speech recognition capabilities across more than 10 languages and 52 languages/dialects. CustomVoice offers instruction-driven control over timbre, emotion, and prosody while Base enables 3-second rapid voice cloning. SageMaker JumpStart lets customers deploy these models from SageMaker Studio or via the SageMaker Python SDK with a few clicks.

🆕 AWS added FLUX.2-klein-base-4B and Qwen3-Embedding-0.6B to Amazon SageMaker JumpStart. FLUX.2 targets real-time image generation and multi-reference editing in a compact architecture that can run on consumer GPUs with about 13GB VRAM. Qwen3-Embedding delivers instruction-aware, multilingual text embeddings across 100+ languages for retrieval, RAG, and semantic search. Customers can deploy these models via SageMaker Studio or the SageMaker Python SDK.