All news with #aws tag

🔁 Amazon MSK Replicator now supports replication from external Apache Kafka clusters to Amazon MSK Standard brokers. This expands prior capability that targeted MSK Express brokers and enables migration, disaster recovery, and hybrid or multi-cloud data distribution. The feature supports SASL/SCRAM and mutual TLS (mTLS) for authenticating to external clusters and is available in all Regions where MSK Replicator is offered. It preserves topic names, prevents replication loops, and syncs consumer group offsets bidirectionally.

🛡️ AWS Config has expanded its set of managed rules with 191 additional checks covering services such as Amazon Bedrock, SageMaker, ECS, EKS, RDS, Redshift, S3, and CloudTrail. The new rules evaluate encryption, logging, public access, network security, data protection, and operational best practices. You can deploy rules individually or as part of a conformance pack in supported AWS Regions.

🧩 AWS Builder Center now offers free, time-limited sandbox environments that builders can request directly from eligible workshops. These sandboxes remove the need for a personal AWS account, credit card, or worry about unexpected charges, allowing safe deployment of resources and experimentation in a pre-provisioned AWS account. Each sandbox grants 8 hours of access from activation, auto-cleans afterward, and most are ready within 15 minutes. Builders may request one sandbox per week (resets Sunday), and availability will expand to more workshops over time.

🔔 Amazon SageMaker Unified Studio Workflows now includes 19 new operators for Amazon Bedrock, Amazon S3 Tables, S3 Vectors, AWS Glue Data Catalog, and Amazon MWAA Serverless. These operators let users add tasks via the visual workflow creator to orchestrate services without writing custom integration code. The capabilities include managing Bedrock guardrails, provisioning and deleting S3 Tables and S3 Vectors, managing Glue Data Catalog assets, and triggering MWAA Serverless runs. This feature is available in all Regions where SageMaker Unified Studio is offered.

🚀 Amazon EC2 M8gd and R8gd instances are now available in additional AWS Regions, including Europe (Paris, Stockholm, Milan) and Asia Pacific (Mumbai, Osaka, Melbourne, Singapore, Taipei). These instances use AWS Graviton4 processors, offer up to 11.4 TB of local NVMe SSD storage, and deliver up to 30% better performance versus Graviton3. They support up to 50 Gbps network and 40 Gbps Amazon EBS bandwidth, with configurable bandwidth weighting and select sizes offering Elastic Fabric Adapter support.

🚀 Amazon Redshift now supports Graviton-based RG instances on the trailing track (P201) as of July 7, 2026. Customers can choose rg.4xlarge and rg.xlarge instance types for production workloads prioritizing stability, using the AWS Management Console, AWS CLI, or AWS SDKs. RG instances deliver up to 2.4x faster query performance than RA3 at 30% lower price per vCPU. Provision a new cluster or resize an existing cluster to migrate to RG on the trailing track.

🔔 Amazon Aurora DSQL change data capture (CDC) is now generally available, enabling real-time streaming of database changes to Amazon Kinesis Data Streams for event-driven architectures and data integration workflows. Aurora DSQL CDC captures insert, update, and delete operations as change events and delivers them to Kinesis Data Streams with no infrastructure to manage. Use CDC to synchronize microservices, trigger AWS Lambda, or route changes to Amazon S3, Amazon Redshift, and Amazon OpenSearch Service via Amazon Data Firehose. CDC streaming is available in all Regions where Aurora DSQL is offered and is designed to have zero impact on database workload performance.

📢 Amazon Connect Customer now supports forecasting, capacity planning, and scheduling for Tasks and Emails, enabling unified workforce optimization across Voice, Chat, Tasks, and Email workloads. The service accounts for each channel's unique characteristics—such as concurrent handling, varying work durations, and specific service levels—so forecasts and schedules reflect real operations. Organizations can generate unified forecasts and create schedules that allocate agents efficiently across channels, ensuring consistent service levels.

🔎 A Sygnia report details how a lone threat actor leveraged AI to complete in 72 hours what would normally take weeks, using established cloud attack techniques rather than novel exploits. The attacker obtained an AWS access key via an internet-facing app and used agentic AI workflows to search for secrets, establish persistence, exfiltrate RDS data, and perform impact actions. The report highlights gaps in secrets management, identity governance, deployment workflows and visibility, and provides containment recommendations for defenders.

🔒 Amazon GameLift Streams introduces Stream Session Admin Shell, a secure terminal connection for live stream sessions that enables real-time troubleshooting. You can inspect logs, query processes, check GPU utilization, and examine application state without managing SSH keys, open ports, or infrastructure credentials. The feature uses the CreateStreamSessionAdminShell API and the SSM Session Manager plugin, supports Linux, Proton, and Windows Server 2022 runtimes, and automatically closes when the session ends. It is available at no additional cost in all supported AWS Regions.

🔔 Amazon S3 Vectors is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West). The service offers purpose-built vector storage for AI agents, inference, Retrieval Augmented Generation (RAG), and semantic search at billion-vector scale. S3 Vectors provides the elasticity, durability, and availability of Amazon S3 with dedicated APIs to store, access, and query vectors without provisioning infrastructure. Check AWS Regions and endpoints for the full availability list.

🔔 Amazon Elastic Container Service (Amazon ECS) Managed Instances now charges lower management fees for GPU and accelerated instance types. Effective July 1, 2026, G-series fees are reduced by 35% and P-series and AWS Trainium fees by 60%, applied automatically with no customer action required. ECS Managed Instances continues to provision, configure, and operate optimal EC2 instances while offering GPU-specific metrics in Amazon CloudWatch Container Insights and automatic GPU health monitoring.

🚀 Amazon EMR Serverless now supports larger worker configurations of up to 32 vCPUs and 244 GB of memory, enabling more compute- and memory-intensive workloads. Previously, the largest worker offered was 16 vCPUs with up to 120 GB of memory. Larger workers improve runtime performance and cost profiles by reducing inefficient shuffle transfers, lowering out-of-memory risks for skewed jobs, and allowing more data to be cached in memory. These workers are available in all AWS Regions where EMR Serverless is offered.

🚀 Amazon Redshift RG instances, powered by AWS Graviton processors, are now available in AWS GovCloud (US-West) and (US-East). RG instances deliver up to 2.4x better performance than prior RA3 instances and offer ~30% lower price per vCPU while running Redshift’s vectorized data lake query engine for Apache Iceberg and Parquet. Available sizes are rg.xlarge and rg.4xlarge, and RA3 clusters can upgrade via Snapshot & Restore, Elastic Resize, or Classic Resize. Flexible pricing includes On-Demand and 1-/3-year Reserved Instances with multiple payment options.

🚀 Amazon RDS for Oracle now supports Oracle Database 26ai, Oracle's Long Term Support release, with integration to Amazon Bedrock providing access to foundation models such as Anthropic Claude, Amazon Nova, and Meta Llama. Oracle Database 26ai enables Select AI for generating and running SQL from natural language prompts and supports in-database RAG via Oracle AI Vector Search, avoiding the need for a separate vector store. The release also offers JSON Relational Duality Views and SQL Property Graphs and is available in Enterprise Edition across commercial and GovCloud regions.

🔔 Amazon EKS Auto Mode now reduces management fees for GPU and accelerated instance types, effective July 1, 2026. G-series Auto Mode fees drop 35%, while P-series and AWS Trainium fees drop 60%, applied automatically to existing clusters. EKS Auto Mode includes accelerator-focused features like parallel image pulling and accelerator-aware node repair to speed startup and improve reliability for ML and rendering workloads. The pricing change applies in all Regions where EKS Auto Mode is available and mirrors identical reductions for ECS Managed Instances.

🔧 Amazon Cognito now lets customers increase or decrease provisioned API rate limits on demand. Previously adjustments required Service Quotas requests and manual review; the new self-service model enables immediate changes via the Amazon Cognito console or new limit provisioning API operations. Rate limit changes take effect instantly and are available for adjustable API categories in all Regions where Cognito is offered. Pricing and setup guidance are provided in the Cognito pricing page and developer guide.

🔧 Amazon SageMaker Studio now offers direct, one‑click integration with Hugging Face so users can open a fully configured Studio environment with a selected model preloaded. Previously, users had to navigate console menus, configure IAM and serverless settings, and request GPU quotas; the new flow automates environment creation and permission configuration. New customers receive a Studio environment on sign‑up; verified customers gain default GPU access and visible quota information within Studio.

🔐 You can now use declarative policies to enable VPC Encryption Controls in monitor or enforce mode across all VPCs in your environment. This capability lets security teams centrally define and apply consistent encryption-in-transit settings for an account, organization, or specific organizational unit. The feature provides centralized visibility into Encryption Controls status for all accounts and VPCs and is available in all AWS regions that support VPC Encryption Controls. There is no additional charge to use declarative policies in AWS Organizations.

🆕 Amazon Elastic VMware Service (EVS) now supports VMware Cloud Foundation (VCF) 9.0 and 9.1, enabling customers to run VCF directly within their Amazon VPC on EC2 bare-metal instances. You retain full control over installation, operations, and management of the VMware virtualization stack and can continue using existing tools, processes, and skills. AWS also launched the Solutions for EVS GitHub repository with examples, templates, and infrastructure-as-code artifacts to accelerate deployments. The release is available in all regions where Amazon EVS is offered.