All news with #product update tag

📣 Second-generation AWS Outposts racks are now supported in the AWS Asia Pacific (Tokyo) Region. Organizations in and outside Japan can order Outposts racks connected to this region to optimize latency and meet data residency requirements while running low-latency workloads on-premises. Outposts extends AWS infrastructure, services, APIs, and tools into customer data centers or colocation spaces and connects back to a home Region for centralized management.

🆕 Amazon EMR 7.12 now supports the Apache Iceberg v3 table format (Iceberg 1.10) and includes Apache Spark 3.5.6. This update reduces storage and pipeline costs by marking deleted rows instead of rewriting files, while adding automatic row-level history for stronger governance and change-data capture. It also introduces table-level encryption and integrates with AWS Lake Formation. Apache Trino 476 is included, and EMR 7.12 is available in all Regions that support EMR.

📈 Google announces it was named a Leader in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems for the sixth consecutive year and positioned furthest in vision. The post presents the company's AI-native Data Cloud—a unified stack integrating BigQuery, Spanner, AlloyDB, Looker, and Dataplex—to support agentic AI. Google highlights embedded specialized agents, developer tooling (Data Agents API, ADK, Gemini CLI) and Agent Analytics in BigQuery to accelerate AI-driven applications while asserting cost and governance benefits on a single, open platform.

🚀 Vertex AI Studio now centers developer workflows around Gemini and introduces agents-as-tools to streamline prompt engineering and app creation. The Studio adds three core agent commands — /Prompt, /Evaluate, and /Build — to refine prompts, assess outputs with custom autoraters, and generate working code. Team features include cross-account prompt sharing, version history, and notes. Onboarding is simplified with one-click API keys, an /Ask helper, express mode, and loginless model trials.

🚀 The Gemini CLI now includes Looker and Looker Conversational Analytics extensions, enabling direct terminal access to Looker data and dashboards. These additions let users ask complex questions, generate reports, and create dashboards without leaving the command line. Installation requires the Gemini CLI (npm), the two extensions, and configuration of Looker API credentials and optional Google Cloud settings. The update aims to streamline workflows and make data exploration more accessible from everyday development environments.

🤖 BigQuery AI consolidates BigQuery’s built-in ML, generative AI functions, vector search, and agent tools into a unified platform. It enables users to apply generative models and embeddings directly via SQL, perform semantic vector search, and run end-to-end ML workflows without moving data. Role-specific data agents and assistive features like a data canvas and code completion accelerate work for engineers, data scientists, and business users.

💸 AWS has announced general availability of Flexible Cost Allocation (FCA) for AWS Transit Gateway, enabling organizations to distribute data processing and transfer charges more flexibly across accounts. FCA lets you assign usage to the source, destination, or the central Transit Gateway account and supports attachment-level or per-flow granularity. It also supports middle-box appliances such as AWS Network Firewall, allowing costs to be attributed to original source or destination owners. You can enable FCA via the AWS Management Console, CLI, or SDK with no additional charge.

🔧 Amazon Athena now lets you control Data Processing Unit (DPU) allocation for queries running on Capacity Reservations at the workgroup or per-query level. You can set explicit DPU values so small queries consume less capacity while critical jobs receive guaranteed resources. The Athena console and API now report per-query DPU usage, improving visibility into consumption and supporting capacity planning. These controls reduce over-provisioning, manage concurrency, and improve predictability for business-critical workloads in supported AWS Regions.

🚀 The AWS Transfer Family Terraform module now supports provisioning Transfer Family servers with a custom identity provider (IdP), enabling integration with existing authentication systems and centralized access control. This update automates deployment of SFTP, FTPS, FTP, AS2 and browser-based endpoints using Terraform, removing repeated manual configuration. The module is built on the open source Custom IdP solution and includes an Amazon Cognito example to help teams get started quickly.

🔍 AWS Cost Anomaly Detection now uses an enhanced algorithm that analyzes spend in rolling 24-hour windows, comparing current costs to equivalent time periods from previous days whenever AWS receives updated cost and usage data. This removes delays from incomplete calendar-day comparisons and aligns analysis to similar times of day, improving accuracy for workloads with distinct morning and evening patterns. The result is faster, more precise anomaly identification with fewer false positives; the enhancement is available in all AWS Regions except the AWS GovCloud (US) Regions and the China Regions.

✨ Amazon SageMaker now offers one-click onboarding of existing AWS datasets into Amazon SageMaker Unified Studio, letting customers begin data work in minutes while retaining their current IAM roles and permissions. The feature provisions a pre-configured serverless notebook with a built-in AI agent that supports SQL, Python, Spark, and natural language. Users can start from SageMaker, Amazon Athena, Amazon Redshift, or Amazon S3 Tables consoles and the setup imports permissions from AWS Glue Data Catalog, Lake Formation, and S3 to accelerate first use.

🚀 Amazon Web Services has expanded OR2 and OM2 OpenSearch Optimized instances into additional global regions, delivering higher indexing throughput and S3-based managed storage for indexing-heavy workloads. In AWS internal benchmarks OR2 showed up to 26% higher indexing throughput vs OR1 (70% vs R7g) and OM2 up to 15% vs OR1 (66% vs M7g). Both families include local instance caching, S3-managed storage, pay-as-you-go and reserved pricing, and a range of sizes to fit different compute and memory needs.

🤖Google has begun showing ads in its AI mode, the company's answer-engine experience rather than a traditional search engine. AI mode has been available for about a year and is free to all, with Google One subscribers able to toggle advanced models such as Gemini 3 Pro. Until now Google avoided ads to keep the conversational experience compelling; the new placements are labeled “sponsored” and typically appear at the bottom of AI-generated answers rather than in the right-side citation area. This looks like an experiment or optimization to improve click-through rates while complying with ad disclosure rules.

🔧 Amazon RDS for SQL Server now supports resource governor, enabling customers to manage CPU, memory, and I/O allocation across workloads on Enterprise Edition instances. RDS exposes stored procedures for configuring resource pools, workload groups, and classifier functions so administrators can isolate resource‑intensive queries and maintain predictable performance. This feature is available in all AWS Regions where RDS for SQL Server is offered.

🤖 Amazon SageMaker introduces a serverless notebook experience that consolidates SQL, Python, and natural-language workflows into a single interactive workspace for analytics and ML. The environment is backed by Amazon Athena for Apache Spark to scale from interactive queries to petabyte-scale processing without pre-provisioned infrastructure. A built-in AI agent generates code and SQL from natural-language prompts to accelerate development, and the feature is available via SageMaker Unified Studio's one-click onboarding in multiple AWS Regions.

🚀 Amazon SageMaker HyperPod now supports running IDEs and Notebooks on persistent EKS-based HyperPod clusters, allowing developers to run JupyterLab, Code Editor, or connect local IDEs directly to GPU-backed compute. Developers can share data across interactive sessions and training jobs via mounted file systems such as FSx and EFS, and use familiar tools including the HyperPod CLI. Administrators gain unified governance through HyperPod Task Governance and visibility into CPU, GPU, and memory consumption via HyperPod Observability, helping optimize cluster utilization. The feature is available in all AWS Regions that support HyperPod, excluding China and GovCloud (US).

🔐 Amazon EC2 Fleet now supports an encryption attribute for Attribute-Based Instance Type Selection (ABIS). You can set RequireEncryptionInTransit in InstanceRequirements to limit launches to instance types that support encryption-in-transit, addressing compliance with VPC Encryption Controls in enforced mode. The GetInstanceTypesFromInstanceRequirements (GITFIR) API previews eligible instance types. The feature is available in all AWS commercial and GovCloud (US) Regions. To start, set RequireEncryptionInTransit=true when calling CreateFleet or GITFIR.

🔁 AWS Network Firewall now supports flexible cost allocation through AWS Transit Gateway native attachments, enabling automatic distribution of data processing charges across different AWS accounts. Administrators can create metering policies to apply inspection charges to application teams or business units instead of consolidating expenses in the firewall owner account. This preserves centralized security controls while automating chargeback based on actual usage. Flexible cost allocation is available in all AWS Commercial and Amazon China Regions where supported, with no additional fees beyond standard service pricing.

🔍 AWS announced general availability of a new Application Observability for AWS GitHub Action and enhancements to the CloudWatch Application Signals MCP server that embed observability into developer workflows. Developers can now request trace-aware diagnostics inside GitHub — for example by mentioning @awsapm in Issues — and receive intelligent, observability-based responses without switching consoles. The MCP server updates also let AI coding agents (such as Kiro) identify the exact file, function, and line causing latency or errors and provide or modify OTel-based instrumentation guidance for CDK or Terraform across ECS, EKS, Lambda, and EC2.

🔒 AWS Security Incident Response introduces a metered pricing model that charges per ingested security finding and includes a free tier for the first 10,000 findings per month. After the free tier, the per-finding rate is $0.000676 with tiered discounts at higher volumes. The consumption-based approach removes upfront commitments and minimum fees, enabling teams to scale response capability as needs evolve. Customers can monitor finding counts via Amazon CloudWatch at no extra cost, and the new pricing automatically applies in supported Regions starting November 21, 2025.