2/5/2025, 12:00:00 AM ~ 2/6/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon Elastic Container Service (Amazon ECS) launches its networking capability called ECS Service Connect in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions.\n Amazon ECS is a fully managed container orchestration service that makes it easier for you to deploy, manage, and scale containerized applications. With ECS Service Connect, customers can easily configure service discovery, connectivity, traffic observability, and encryption for services running in Amazon ECS. This enables more efficient application development by allowing you to focus on writing application code instead of managing complex networking infrastructure To learn more about how to get started with Amazon ECS Service Connect and how it works, see our documentation.
Amazon DocumentDB now offers one-click connectivity with CloudShell
Starting today, you can connect to your Amazon DocumentDB (with MongoDB compatibility) clusters with a single click through AWS CloudShell directly from the AWS Management Console. This new feature allows our customers to easily connect to their DocumentDB clusters directly from their browser, without requiring any local setup.\n One-click connectivity with Cloudshell automatically configures VPCs, security groups, and MongoDB shell installation, eliminating the need for manual tasks like setting up security groups and ingress/egress rules. This streamlines the process for database administrators and developers, enabling them to connect quickly to their DocumentDB cluster to preview data or execute adhoc queries. This feature is available in all AWS Regions where both Amazon DocumentDB and AWS CloudShell services are supported. For more information about region availability, see the AWS Region table. To get started, follow Get started with Amazon DocumentDB to create an Amazon DocumentDB cluster, then click the “Connect to cluster” button to connect via CloudShell.
Amazon SageMaker AI is now available in Asia Pacific (Malaysia)
Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Malaysia).\n Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. To learn more and get started, see SageMaker AI documentation and pricing page.
Amazon EC2 M6in and M6idn instances are now available in Europe (Zurich)
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M6in and M6idn instances are available in AWS Europe (Zurich) region. These sixth-generation network optimized instances, powered by 3rd Generation Intel Xeon Scalable processors and built on the AWS Nitro System, deliver up to 200Gbps network bandwidth, for 2x more network bandwidth over comparable fifth-generation instances. Customers can use M6in and M6idn instances to scale their performance and throughput of network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function.\n M6in and M6idn instances are available in 10 different instance sizes including metal, offering up to 128 vCPUs and 512 GiB of memory. They deliver up to 100Gbps of Amazon Elastic Block Store (EBS) bandwidth, and up to 400K IOPS. M6in and M6idn instances offer Elastic Fabric Adapter (EFA) networking support on 32xlarge and metal sizes. M6idn instances offer up to 7.6 TB of high-speed, low-latency instance storage. With this regional expansion, M6in and M6idn instances are available in the following AWS Regions: US East (Ohio, N. Virginia), US West (N. California, Oregon), Europe (Ireland, Frankfurt, Spain, Stockholm, Zurich), Asia Pacific (Mumbai, Singapore, Tokyo, Sydney), Canada (Central), and AWS GovCloud (US-West). Customers can purchase the new instances through Savings Plans, On-Demand, and Spot instances. To learn more, see M6in and M6idn instances page.
Amazon Q Business introduces orchestration for user query management
Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, introduced an intelligent orchestration feature that simplifies conversational experience by understanding user queries, and automatically directing the queries to the right data sources and plugins to generate relevant responses.\n Earlier, users would need to manually switch between different work applications to complete their tasks and gain insights from data sources. Enabling orchestration simplifies the user conversational experience by automatically directing user queries to indexed enterprise data sources and plugins, eliminating the need for manual selection. Orchestration works with retrieval augmented generative (RAG) data for enterprise-specific knowledge, and with both built-in and custom plugins, allowing users to interact with popular business tools like Jira, Salesforce, ServiceNow, Smartsheet, and PagerDuty - all through a single conversation in Amazon Q Business. The new orchestration feature is available in all AWS Regions where Amazon Q Business is available. To get started with the feature, customers can access the setting directly from the Amazon Q Business console. To learn more, please visit Using global controls in Amazon Q Business. To learn more about Amazon Q Business plugins and how they can enhance your organization’s productivity, visit the Amazon Q Business webpage and explore the Amazon Q Business plugin documentation.
AWS IAM announces support for encrypted SAML assertions
Today, AWS Identity and Access Management (IAM) announced support for encrypted SAML assertions. SAML is an open standard that many identity providers (IdPs) use for federated single sign-on (SSO), enabling users or applications in your company to log into the AWS Management Console or call AWS API operations. You can now configure your identity provider to encrypt the SAML assertions that it sends to IAM. This ensures that your assertions are encrypted when passed through intermediaries (for example, the end user’s web browser).\n You can use the AWS IAM console, APIs, or CLI to configure SAML encryption for your identity providers that support encryption. Please refer to IAM and your identity provider’s product documentation for detailed configuration steps. This feature is available in all AWS commercial and AWS GovCloud (US) Regions. To learn more, please refer to IAM documentation.
Announcing the general availability of Amazon EC2 F2.6xlarge, a new F2 instance size
Today, AWS is announcing the general availability of a new smaller size of Amazon EC2 F2 instances, F2.6xlarge. Amazon EC2 F2 instances are the second-generation of FPGA-powered instances, purpose built for developing and deploying reconfigurable hardware in the cloud. The new F2.6xlarge instance size has 1 FPGA, compared to the currently available F2 sizes with 4 and 8 FPGAs.\n Amazon EC2 F2 instances are ideal for FPGA-accelerated solutions in genomics, multimedia processing, big data, network acceleration, and more. AWS customers can use the new instance size, F2.6xlarge, for applications that are more cost-efficient or performant when running on a single FPGA. F2.6xlarge also provides a lower cost entry point to using F2 instances. F2 instances are the first to feature an FPGA with 16 GB of high bandwidth memory (HBM). The new F2.6xlarge size features a 3rd generation AMD EPYC processor with 24 vCPUs, 256 GB of system memory, 950 GB of NVMe SSD local storage, and 12.5 Gbps of network bandwidth. The F2.6xlarge size is now available in the US East (N. Virginia), Europe (London), and US West (Oregon) AWS Regions. To learn more, please visit the Amazon EC2 F2 Instances page.
AWS Wickr now provides a dedicated space to organize and access files
AWS Wickr is excited to announce the launch of “Wickr Files” a dedicated space that allows you to access and manage files in conversations. Moderators of Wickr rooms and users in self-moderated group conversations can now upload and organize files in folders. Users can toggle between “Messages” and “Files” tabs to access relevant content and streamline collaboration.\n AWS Wickr is a security-first messaging and collaboration service with features designed to help keep your internal and external communications secure, private, and compliant. AWS Wickr protects one-to-one and group messaging, voice and video calling, file sharing, screen sharing, and location sharing with end-to-end encryption. Customers have full administrative control over data, which includes addressing information governance polices, configuring ephemeral messaging options, and deleting credentials for lost or stolen devices. You can log both internal and external conversations in an AWS Wickr network to a private data store that you manage, for data retention and auditing purposes. AWS Wickr is available in commercial AWS Regions that include US East (N. Virginia), AWS Canada (Central), AWS Asia Pacific (Malaysia, Singapore, Sydney, and Tokyo), and AWS Europe (London, Frankfurt, Stockholm, and Zurich). It is also available in AWS GovCloud (US-West) as Department of Defense Impact Level 5 (DoD IL5)-authorized AWS WickrGov. To learn more and get started, see the following resources:
AWS Wickr product detail page
AWS Wickr user guide
AWS Wickr administration guide
Amazon Redshift Query Editor V2 is now available in Asia Pacific (Malaysia) region
Amazon Redshift announces the general availability of Query Editor V2 with Amazon Redshift in the Asia Pacific (Malaysia) region. Amazon Redshift Query Editor V2 makes data in your Amazon Redshift data warehouse and data lake more accessible with a web-based tool for SQL users such as data analysts, data scientists, and database developers. With Amazon Redshift Query Editor V2, users can explore, analyze, and collaborate on data. It reduces the operational costs of managing query tools by providing a web-based application that allows you to focus on exploring your data without managing your infrastructure.\n The Amazon Redshift Query Editor V2 is a separate web-based SQL client application that you use to author and run queries on your Amazon Redshift data warehouse. You can use it to edit and run queries, visualize results, and share your work with your team. With Amazon Redshift Query Editor V2, you can create databases, schemas, tables, and user-defined functions (UDFs). In a tree-view panel, for each of your databases, you can view its schemas. For each schema, you can view its tables, views, UDFs, and stored procedures. The Amazon Redshift Query Editor V2 comes with sample data and notebooks available for you to be loaded into a sample database and corresponding schema. You can use it to load data into a database in an Amazon Redshift cluster or workgroup. To learn more, see the documentation or the demo.
AWS Database Migration Service Serverless (AWS DMSS) now supports files on S3 source endpoints. Using AWS DMSS, you can now migrate data in CSV or parquet format from S3 to any supported AWS DMSS target endpoint. AWS DMSS supports both full load and Change Data Capture (CDC) migration modes for CSV and Parquet files with S3 source endpoints using AWS DMS console, AWS CLI, or AWS SDKs in all regions where DMSS is available.\n For information about AWS DMS S3 source endpoints see DMS S3. Visit AWS DMS to get started. For AWS DMS regional availability, please refer to the AWS Region Table.
AWS Step Functions now supports 100,000 state machines and activities per AWS account
AWS Step Functions has increased the default quota for the maximum number of registered state machines and activities from 10,000 to 100,000. This tenfold increase enables customers to create and manage significantly more workflows within a single AWS account, providing greater scalability and flexibility.\n AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to build distributed applications and orchestrate data processing workloads. With this quota increase, customers can now create up to 100,000 state machines and activities, unblocking use cases that require a large number of workflows such as applications that dynamically create new workflows. This new quota is automatically applied to all AWS accounts and requires no action on your part. This quota increase is available in all AWS Regions where Step Functions is available. To learn more, see the AWS Step Functions Developer Guide.
AWS Blogs
AWS Japan Blog (Japanese)
- How to clone master user permissions in Amazon RDS for SQL Server
- Configuring Amazon RDS for SQL Server password policies
- Upbound Group Builds Modern POS Platform on AWS
AWS News Blog
AWS Architecture Blog
AWS Cloud Operations Blog
AWS for Industries
- No-Code ML Approach to Predict Heart Disease with Amazon SageMaker Canvas
- WNS Malkom accelerates shipping operations with AWS Bedrock
AWS Machine Learning Blog
- Trellix lowers cost, increases speed, and adds delivery flexibility with cost-effective and performant Amazon Nova Micro and Amazon Nova Lite models
- OfferUp improved local results by 54% and relevance recall by 27% with multimodal search on Amazon Bedrock and Amazon OpenSearch Service
- Enhancing LLM Capabilities with NeMo Guardrails on Amazon SageMaker JumpStart
- Build a multi-interface AI assistant using Amazon Q and Slack with Amazon CloudFront clickable references from an Amazon S3 bucket
AWS for M&E Blog
AWS Security Blog
- AWS renews MTCS Level 3 certification under the SS584:2020 standard
- How AWS Network Firewall session state replication maximizes high availability for your application traffic