6/5/2025, 12:00:00 AM ~ 6/6/2025, 12:00:00 AM (UTC)
Recent Announcements
Announcing ASN match support for AWS WAF
AWS WAF now supports matching incoming request against Autonomous System Numbers (ASNs). By monitoring and restricting traffic from specific ASNs, you can mitigate risks associated with malicious actors, comply with regulatory requirements, and optimize the performance and availability of your web applications. This new ASN Match Statement integrates seamlessly with existing WAF rules, making it easy for you to incorporate ASN based security controls into your overall web application defense strategy.\n You can specify a list of ASNs to match against incoming request and take appropriate action such as block or allow the request. You can also use ASN in your rate-based rule statements. These rules aggregate requests according to your criteria, counts and rate limits the requests based on the rule’s evaluation window, request limit, and action settings. ASN Match statement is available in all regions where AWS WAF is available. The rate-based rule support with ASN is available in regions where the enhanced rate-based rules are currently supported. There is no additional cost for using ASN in Match statement and rate-based rules, however standard AWS WAF charges still apply. For more information about the service, visit the AWS WAF page. For more information about pricing, visit the AWS WAF Pricing page
AWS Invoice Summary API is now generally available
Today, AWS announces the general availability of the Invoice Summary API. This allows you to retrieve your AWS invoice summary details programmatically via SDK. You can retrieve multiple invoice summary details by making a single API call that accepts input parameters like AWS Account ID, AWS Invoice ID, billing period, or a date range as input.\n The output of the Invoice Summary API will include data elements like Invoice Amount in base currency and tax currency, purchase order number and other meta data that can be found in this link. You can integrate the API to your accounts payable systems to automate invoice processing and improve efficiency. Invoice Summary API is available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions.
Amazon Q Developer agentic coding experience is now available within JetBrains and Visual Studio
Today, Amazon Q Developer announces support for the agentic coding experience within the JetBrains and Visual Studio IDEs. This experience, already available in Visual Studio Code and the Amazon Q Developer CLI, redefines how you write, modify, and maintain code by leveraging natural language understanding to seamlessly run complex workflows.\n Agentic coding provides intelligent task execution, enabling Q Developer to perform actions beyond code suggestions, such as reading files, generating code diffs, and running command-line tasks. To get started, simply type in your prompt in your preferred spoken language. As Q Developer works through your tasks, it provides continuous status updates, instantly applying your changes and feedback along the way. This allows you to seamlessly complete tasks, while improving and streamlining the development process. The agentic coding experience is available in all AWS regions where Q Developer is supported. To learn more about agentic coding in Visual Studio and JetBrains, read our blog.
Amazon EC2 now enables you to delete underlying EBS snapshots when deregistering AMIs
Amazon EC2 now enables you to automatically delete underlying Amazon EBS snapshots when deregistering Amazon Machine Images (AMIs), allowing you to better manage your storage costs and simplify your AMI cleanup workflow.\n Previously, when deregistering an AMI, you had to separately delete its associated EBS snapshots, which required additional steps. This process could lead to abandoned snapshots, resulting in unnecessary storage costs and resource management overhead. Now you can automatically delete EBS snapshots at the time of AMI deregistration. This capability is available to all customers at no additional costs, and is enabled in all AWS commercial regions including AWS GovCloud (US), AWS China (Beijing) Region, operated by Sinnet, and in the AWS China (Ningxia) Region, operated by NWCD. You can deregister AMIs from the EC2 Console, CLI, API, or SDK, and learn more in the AMI documentation.
Amazon RDS for MariaDB now supports community MariaDB minor versions 10.11.13 and 11.4.7
Amazon Relational Database Service (Amazon RDS) for MariaDB now supports new community MariaDB minor versions 10.11.13 and 11.4.7. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the bug fixes, performance improvements, and new functionality added by the MariaDB community.\n You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also leverage Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MariaDB instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the Amazon RDS User Guide. Amazon RDS for MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MariaDB. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.
Amazon Managed Service for Prometheus now available in 7 additional AWS Regions
Amazon Managed Service for Prometheus is now available in Africa (Cape Town), Asia Pacific (Thailand), Asia Pacific (Hong Kong), Asia Pacific (Malaysia), Europe (Milan), Europe (Zurich), and Middle East (UAE). Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale.\n The list of all supported regions where Amazon Managed Service for Prometheus is generally available can be found on the user guide. Customers can send up to 1 billion active metrics to a single workspace and can create many workspaces per account, where a workspace is a logical space dedicated to the storage and querying of Prometheus metrics. To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page.
Amazon Connect now supports external voice transfers in five additional AWS Regions
Amazon Connect external voice transfer is now available in the Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London) AWS Regions.\n Amazon Connect external voice transfer enables Amazon Connect to directly transfer voice calls and metadata to other voice systems without using the public telephone network. You can use Amazon Connect telephony and Interactive Voice Response (IVR) with your existing voice systems to help improve customer experience and reduce costs. For the list of AWS Regions where Amazon Connect external voice transfer is available, refer to Availability of Amazon Connect features by Region in the Amazon Connect Administrator Guide. To learn more about Amazon Connect and other voice systems, review the following resources:
Amazon Connect website and pricing
External voice transfer - Amazon Connect Administrator Guide
Pricing and usage model updates for Amazon EC2 instances accelerated by NVIDIA GPUs
AWS announces two updates to Amazon EC2 instances accelerated by NVIDIA GPUs.\n Availability of savings plans for Amazon EC2 P6-B200 instances which were available at launch only through EC2 Capacity Blocks for ML.
Reduced pricing for Amazon EC2 P5 and P5en instances and Amazon EC2 P4d and P4de instances: The following pricing reductions apply to On Demand pricing beginning June 1, 2025 and to Savings Plan purchases effective after June 4, 2025: P5 - up to 45% reduction, P5en - up to 26% reduction, and P4d and P4de - up to 33% reduction. The percentages apply to instances running Amazon Linux, slightly smaller reductions apply to instances running other operating systems. To provide increased accessibility to reduced pricing, we are also making at-scale, On-Demand capacity available for:
P4d in Asia Pacific (Seoul), Asia Pacific (Sydney), Canada (Central), Europe (London) Regions
P4de in US East (N. Virginia) Region
P5 in Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Jakarta), South America (São Paulo) Regions
P5en in Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Jakarta) Regions
The new pricing reflects AWS’s commitment to making advanced GPU computing more accessible while passing cost savings directly to customers. To learn more about the updated pricing please consult the EC2 pricing page.
Amazon Q Developer Eclipse IDE plugin is now generally available
Amazon Q Developer plugin for the Eclipse IDE is now generally available. With this launch, developers can leverage the power of Amazon Q Developer, the most capable generative AI-powered assistant for software development, within the Eclipse IDE.\n Within the Eclipse IDE, you’ll now be able to utilize Amazon Q Developer’s agentic coding experience to seamlessly execute complex workflows. With this coding experience, Q Developer can intelligently take actions on your behalf. It can read your project files to intelligently build the context it needs, suggest code diffs, and run shell commands. As Q Developer works through your tasks, it provides continuous status updates, instantly applying your changes and feedback along the way. This helps Q Developer create code, generate unit tests, and perform code reviews significantly faster, streamlining development workflows across the entire software development lifecycle. The Amazon Q Developer plugin for the Eclipse IDE is available in all AWS regions where Q Developer is supported. Learn more and download the free Amazon Q Developer plugin for Eclipse to get started.
Amazon MWAA now available in additional Region
Amazon Managed Workflows for Apache Airflow (MWAA) is now available in AWS Region Asia Pacific (Malaysia).\n Amazon MWAA is a managed service for Apache Airflow that lets you use the same familiar Apache Airflow platform as you do today to orchestrate your workflows and enjoy improved scalability, availability, and security without the operational burden of having to manage the underlying infrastructure. Learn more about using Amazon MWAA on the product page. Please visit the AWS region table for more information on AWS regions and services. To learn more about Amazon MWAA visit the Amazon MWAA documentation. Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.
AWS announces new AWS Direct Connect location and expansion in Taipei, Republic Of China (ROC)
Today, AWS announced the opening of a new AWS Direct Connect location within the Chief Telecom HD data center near Taipei, ROC. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the third AWS Direct Connect location within ROC. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available.\n AWS also announced the addition of 10Gbps and 100Gbps MACsec services in the existing Chunghwa Telecom data center near Taipei, ROC. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
Amazon CloudWatch Logs Insights launches Query Results Summarization and OpenSearch PPL enhancements
Amazon CloudWatch Logs Insights launches Query Results Summarization and OpenSearch PPL enhancements to help accelerate your logs analysis.\n The new logs summarizer generates a natural language summary of the query results, providing users with clear, actionable insights. Interpreting log entries can be time-consuming and this natural language summarization capability transforms complex query results into clear, concise summaries that help you quickly identify issues and gain actionable insights from your log data. With CloudWatch Logs Insights, you can interactively search and analyze your logs with Logs Insights query language, OpenSearch Service Piped Processing Language (PPL), and OpenSearch Service Structured Query Language (SQL). Customers using OpenSearch PPL can now analyze their logs more efficiently with new PPL commands and functions such as JOIN, SubQuery, Fillnull, Expand, Flatten, Cidrmatch and JSON functions. These new capabilities help accelerate your troubleshooting. For example, you can use subqueries to find those services which have more than 20 errors in the last day using an inner query, and then use the results of the inner query to get the average response times of those services from a different log group. The logs summarizer is available in the US East (N. Virginia) region. OpenSearch PPL query enhancements are available in regions where OpenSearch Service direct query is available. To learn about the log summarizer in CloudWatch Logs Insights, visit the Amazon CloudWatch Logs documentation. To learn about the new PPL commands and functions, visit the CloudWatch Logs documentation.
AWS Wickr announces a Preview experience for files
AWS Wickr announces the launch of Wickr File Previews. This new feature empowers organizations to protect sensitive files and lower the risk of data loss, by allowing network administrators to configure a “view-only” mode in the Security Groups section of the AWS Management Console for Wickr. Users within these security groups will be restricted to only viewing the supported files, and will be unable to download them.\n AWS Wickr is a security-first messaging and collaboration service with features designed to help keep your 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 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 FedRAMP High and 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
AWS HealthOmics now supports automatic detection of WDL workflow parameters
Today, AWS HealthOmics announces automatic parameter interpolation for Workflow Description Language (WDL) workflows to help streamline the workflow creation process. This new capability automatically identifies and extracts required and optional parameters along with their descriptions directly from WDL workflow definitions, eliminating the need for customers to manually create input parameter templates. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows.\n Removing the need to define parameters simplifies and accelerates building and deploying bioinformatics workflows. Customers can now onboard new WDL workflows more rapidly while retaining complete flexibility through optional customization. For organizations with extensive WDL workflow libraries, this feature significantly reduces the time required to migrate or deploy new workflows. Additionally, HealthOmics customers still maintain full control by providing custom input parameter templates when needed to override the automatic interpolation. Input parameter interpolation for WDL workflows is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about automatic parameter interpolation and how to implement WDL workflows, see the AWS HealthOmics documentation.
We are excited to announce that Amazon OpenSearch Serverless is now available in Asia Pacific (Hyderabad) and Asia Pacific (Osaka) regions. OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that makes it simple to run search and analytics workloads without the complexities of infrastructure management. OpenSearch Serverless’ compute capacity used for data ingestion, search, and query is measured in OpenSearch Compute Units (OCUs). To control costs, customers can configure the maximum number of OCUs per account.\n Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.
Amazon Q Developer CLI now supports Claude Sonnet 4
Amazon Q Developer CLI now supports Anthropic’s Claude Sonnet 4 and allows developers to select specific Claude Sonnet models when performing tasks in the Q Developer CLI. With Claude Sonnet 4, you can optimize everyday development tasks through enhanced coding and reasoning capabilities, including performing complex actions, implementing bug fixes, running bash commands and developing new features with immediate feedback loops and more precise responses.\n You can choose from premium models - Claude Sonnet 4, Claude 3.7 Sonnet, and Claude 3.5 Sonnet - using the “/model” command, launch a new chat with a specific model using the “q chat –model <model_name>” command, or configure default model settings using the “q settings chat.defaultModel <model_name>” command. This allows you to refine specific use cases such as long-running development tasks, while providing greater control over your development workflows and increased flexibility in model selection. Anthropic’s Claude Sonnet 4 is available in the Q Developer CLI across all supported Amazon Q Developer regions at no additional cost. For more information, visit the Amazon Q Developer documentation.
AWS Blogs
AWS Japan Blog (Japanese)
- How to Audit Amazon Connect Flow Operations Across Your Organization
- Petrobras Uses Amazon EC2 Spot Instances to Optimize Costs and Capacity for HPC Applications
- AWS Weekly Roundup: Amazon Aurora DSQL, MCP Servers, Amazon FSx, AI on EKS, etc. (June 2, 2025)
- [Event Report & Material Release] AI Coding Agent with AWS ~ A Thorough Guide on How to Get Started with “AI that writes code autonomously” on AWS ~
AWS News Blog
- Introducing AWS API models and publicly available resources for AWS API definitions
- Announcing up to 45% price reduction for Amazon EC2 NVIDIA GPU-accelerated instances
AWS Cloud Financial Management
- Optimize Your AWS Spend with New Cost Savings Features in AWS Trusted Advisor
- Quick MoM Cost Analysis with Cost Comparison in AWS Cost Explorer
- The authenticated AWS Pricing Calculator is now generally available
- AWS Compute Optimizer now supports Aurora I/O-Optimized Recommendations
AWS Big Data Blog
- Using AWS Glue Data Catalog views with Apache Spark in EMR Serverless and Glue 5.0
- Embracing event driven architecture to enhance resilience of data solutions built on Amazon SageMaker
AWS Compute Blog
AWS DevOps & Developer Productivity Blog
- Streamline your Eclipse workflows with Amazon Q Developer, now generally available
- Introducing an agentic coding experience in Visual Studio and JetBrains IDEs
AWS for Industries
AWS Machine Learning Blog
- Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker
- Contextual retrieval in Anthropic using Amazon Bedrock Knowledge Bases
- Run small language models cost-efficiently with AWS Graviton and Amazon SageMaker AI