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AWS Updates - 2026-03-09

AWS What's New

Amazon CloudWatch Logs announces increased query concurrency and API limits

Amazon CloudWatch Logs customers can now run up to 100 concurrent queries per account and execute 10 StartQuery and GetQueryResults API calls per second per account/per-region, using the Logs Insights Query Language (Logs Insights QL). These limit increases enable customers to support more users and execute more concurrent queries.

With concurrency increasing from 30 to 100, more users can simultaneously run queries and leverage dashboards using Logs Insights QL. Customers using StartQuery and GetQueryResults APIs for Logs Insights QL benefit from higher limits without being throttled, enabling them to execute more queries and view results faster.

The limit increases for Logs Insights queries is available in US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), Canada (Calgary), South America (São Paulo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Europe (Milan), Europe (Zurich), Europe (Spain), Africa (Cape Town), Middle East(Tel Aviv), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Melbourne), Asia Pacific (Tokyo), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Hong Kong), Asia Pacific (Jakarta), Asia Pacific (Bangkok), Asia Pacific (Malaysia), Asia Pacific (Auckland), Asia Pacific (Taipei), and Mexico (Querétaro). For more information, visit the  Amazon CloudWatch Logs documentation. 

Amazon Cognito is now available in Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions

Amazon Cognito is now available in the AWS Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions. This launch introduces all Amazon Cognito features and tiers, allowing customers to implement secure sign-in and access control for users, AI agents, and microservices in minutes.

For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to Developer Guide, Product Detail Page, and Pricing Detail Page.

IAM Roles Anywhere now supports post-quantum digital certificates

AWS Identity and Access Management (IAM) Roles Anywhere now supports the FIPS 204 Module-Lattice Digital Signature Standard (ML-DSA), a quantum-resistant digital signature algorithm standardized by the National Institute of Standards and Technology (NIST) to help protect against threat actors in possession of a large-scale quantum computer. ML-DSA is particularly valuable for IAM Roles Anywhere customers who authenticate workloads to AWS using X.509 certificates issued by certificate authorities, where a weakened signature algorithm could allow an unintended user to issue certificates and obtain unauthorized access.

IAM Roles Anywhere enables workloads running outside of AWS to obtain temporary AWS credentials using X.509 certificates to access AWS resources. You establish trust between your AWS environment and your public key infrastructure (PKI) by creating a trust anchor, either by referencing your AWS Private Certificate Authority or registering your own certificate authorities (CAs) with IAM Roles Anywhere. You can now use ML-DSA-signed CA certificates as IAM Roles Anywhere trust anchors, and issue end entity certificates bound to ML-DSA keys.

This feature is available in all AWS Regions where IAM Roles Anywhere is available, including the AWS GovCloud (US) Regions, AWS European Sovereign Cloud (Germany) Region, and China Regions. To learn more, see the IAM Roles Anywhere User Guide.

Amazon EC2 G7e instances now available in Asia Pacific (Seoul) and Europe (Spain) regions

Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in  Asia Pacific (Seoul) and Europe (Spain) regions. G7e instances offer up to 2.3x inference performance compared to G6e.

Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads.

You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), Europe (Spain) and Asia Pacific (Tokyo, Seoul). You can purchase G7e instances as On-Demand Instances, Spot Instances, or as part of Savings Plans.

To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit G7e instances.

Amazon Quick Suite launches User Preferences for chat personalization

We are announcing User Preferences in Amazon Quick Suite – a new feature that gives users greater control over how Quick looks, feels, and works for them. With User Preferences, users can now customize their Chat panel layout by setting it to open expanded or collapsed by default; Quick also automatically remembers their last used setting and resumes from where they left off. Users can select a default chat agent and pre-select a default knowledge scope for My Assistant, so their preferred agent is ready each time they return to Quick. Users can also personalize their experience by letting Quick know what to call them and sharing their area of focus at work – Quick uses this context to personalize responses and make interactions more relevant. Finally, users can view and manage their memories directly from User Preferences.

Previously, users had no way to persist their preferred Chat settings, agent selection, or personal context across sessions. User Preferences addresses this by giving users a single place to configure how Quick works for them, saving time and making every interaction feel more personalized from the start.

User Preferences is available in all AWS Regions where Amazon Quick Suite is available. To learn more, visit the Amazon Quick Suite User Guide.

Amazon Route 53 Global Resolver is now generally available

Today, AWS announced the general availability of Amazon Route 53 Global Resolver, an internet-reachable anycast DNS resolver that delivers easy, secure, and reliable DNS resolution for authorized clients from anywhere. Global Resolver is now available across 30 AWS Regions, with support for both IPv4 and IPv6 DNS query traffic.

Previewed at re:Invent 2025 in 11 AWS Regions, Global Resolver gives authorized clients in your organization anycast DNS resolution of public internet domains and private domains associated with Route 53 private hosted zones — from any location. It also provides DNS query filtering to block potentially malicious domains, not-safe-for-work domains, and domains associated with advanced DNS threats such as DNS tunneling and Domain Generation Algorithms (DGA), along with centralized query logging. With general availability, Global Resolver adds protection against Dictionary DGA threats.

New customers can explore Global Resolver with a 30-day free trial. For pricing and feature details, visit the service page. To see supported AWS Regions, see the region table. To get started, see the documentation.

Amazon SageMaker Unified Studio now supports faster data preview in Visual ETL

Amazon SageMaker Unified Studio introduces data preview v2.0 for Visual ETL, a new data preview mode that delivers near-instant results when building and iterating on visual ETL jobs. With data preview v2.0, data engineers and analysts can see the output of each transform in about one second, with no session startup required and at no additional compute cost.

Data preview v2.0 uses an in-browser query engine to load and process data locally, removing the dependency on server-side Spark sessions for preview operations. Source data is fetched once and cached in the browser, so subsequent transforms apply instantly without re-querying the underlying data source. For Amazon Redshift users, this means you can iterate on transforms without additional queries against your Redshift cluster, keeping your preview workflow fast and your cluster resources focused on production workloads. Data preview v2.0 supports CSV, Parquet, and JSON files from Amazon S3, in addition to data from Amazon Redshift, Amazon S3 Tables, AWS Glue Data Catalog, and third-party sources including Snowflake, MySQL, PostgreSQL, SQL Server, Oracle, Google BigQuery, Amazon DynamoDB, and Amazon DocumentDB. A toggle in the Visual ETL editor gives you the option to switch between data preview v2.0 and the original Spark-based preview at any time.

Data preview v2.0 in Visual ETL is available in all AWS Regions where Amazon SageMaker Unified Studio is supported. To learn more, visit the Amazon SageMaker Unified Studio documentation.

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