All news with #product update tag

🔐 Aurora DSQL now provides Python, Node.js, and JDBC Connectors that transparently handle IAM token generation for standard PostgreSQL drivers. The connectors integrate with psycopg/psycopg2, node-postgres, Postgres.js, and the PostgreSQL JDBC driver and support common pooling libraries such as HikariCP and built-in pooling in Node.js and Python. By automatically generating IAM tokens via the AWS SDK for each connection, they remove the need for custom token code or manual token provisioning, reducing reliance on static database passwords while preserving existing driver features and workflows.

🚀 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.

📈 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.

💸 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.

🔍 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.

🚀 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.

✨ 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 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 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 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.

🚀 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 CloudWatch Container Insights now supports configurable sub-minute GPU sampling for Amazon EKS, enabling GPU metrics to be collected at a per-second sample rate and aggregated to CloudWatch once per minute. This enhancement gives teams finer visibility into short-lived AI/ML inference and GPU-intensive workloads, helping to optimize resource utilization, troubleshoot performance issues, and improve operational efficiency for containerized GPU applications. The feature is available in all AWS Commercial Regions and AWS GovCloud (US) Regions at no additional cost.

🔒 Amazon Elastic Container Registry (ECR) now supports AWS PrivateLink for its dual-stack endpoints. This enables customers to standardize on IPv6 while continuing to accept IPv4 traffic, and to keep API and Docker/OCI request traffic confined to the Amazon network. By routing dual-stack endpoint traffic over PrivateLink, organizations can reduce exposure to the public internet and improve their security posture. The feature is generally available in all AWS commercial and GovCloud (US) regions at no additional cost.

⚙️ Amazon CloudWatch now provides an in-console experience for automated installation and configuration of the CloudWatch agent on EC2 instances. The new UI surfaces agent status across your EC2 fleet, automatically detects supported workloads, and uses CloudWatch observability solutions to recommend monitoring configurations. Customers can deploy agents with one-click installs or create tag-based policies for automated fleet-wide management, including for auto-scaled instances, reducing setup time from hours to minutes.

🔎 Amazon has added an integrated query editor to Aurora DSQL, enabling secure, browser-based SQL access from the AWS Management Console without requiring external client installation or configuration. The editor includes syntax highlighting, auto-completion, and intelligent code assistance, along with schema exploration and result viewing in a single interface. Available in all Regions where Aurora DSQL is offered, this feature shortens time-to-value and simplifies database interactions for developers, analysts, and data engineers.