AWS News - 2026-07-21

Amazon Managed Service for Apache Flink now supports Apache Flink version 2.3. This release includes adaptive partition selection for improved backpressure handling, so applications run more smoothly under uneven load. It also introduces better handling of out-of-order updates in change data capture (CDC) pipelines that improves data correctness, and new SQL functions make it easier to convert between changelog and standard streams. For a full list of improvements, see the Amazon Managed Service for Apache Flink release notes.

Amazon Managed Service for Apache Flink makes it easier to transform and analyze streaming data in real time, by simplifying the setup, operation, and scaling of Apache Flink applications. Developers and data engineers can focus on building and running their streaming applications without managing the underlying infrastructure.

To get started, create a new application on Apache Flink 2.3, or use in-place version upgrades to move compatible applications to the Flink 2.3 runtime for a simpler and faster upgrade. Apache Flink 2.3 is available across all AWS Regions where Amazon Managed Service for Apache Flink is offered. To learn more, see the Amazon Managed Service for Apache Flink Developer Guide.

Amazon Connect Customer dashboards now display real-time and historical metrics for agent queues. Agent queues are used to directly route contacts to a specific agent. Now, supervisors can track how these agents perform in their own queues. For example, a supervisor notices a spike in contacts queued to a specific agent queue following a series of scheduled callbacks, and reassigns them to avoid long wait times.

Agent queue metrics are available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect Customer is offered. To learn more about analytics dashboards, see the Amazon Connect Customer Administrator Guide. To learn more about Amazon Connect Customer, the AWS cloud-based contact center, please visit the Amazon Connect Customer website.

Amazon Web Services (AWS) announces the availability of Amazon EC2 I8ge instances in AWS GovCloud (US-East, US-West) regions. I8ge instances are powered by AWS Graviton4 processors and deliver up to 60% better compute performance compared to previous generation Graviton2-based storage optimized Amazon EC2 instances. I8ge instances use the third generation AWS Nitro SSDs, local NVMe storage, and deliver up to 55% better real-time storage performance per TB compared to previous generation Amazon EC2 Im4gn instances. They offer up to 60% lower storage I/O latency and up to 75% lower storage I/O latency variability compared to Im4gn instances.

I8ge instances are storage-optimized instances, and offer up to 120TB of local NVMe storage. They are ideal for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large datasets. These versatile instances are offered in eleven different sizes including two metal sizes, providing flexibility to match customers' computational needs. They deliver up to 180 Gbps of network performance bandwidth and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications.

To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs. To learn more, visit the I8ge instances page. 

Amazon Connect customers can now deliver more natural, human-sounding agentic voice experiences with expanded support across 50+ languages including Spanish, French, Italian, Japanese, Korean, Portuguese, and Thai, over 100 new voice options, and conversational improvements that make AI interactions sound more fluid and responsive.

Amazon Connect's agentic self-service capabilities enable AI agents to understand, reason, and take action across voice and digital channels, adapting responses to match customer tone and sentiment while maintaining natural conversational pace. With this launch, you can deliver smoother conversations with seamless response pacing that fills natural pauses so interactions feel immediate rather than halting, more accurate turn-taking so agents and customers don't talk over each other, and speech controls that let you adjust speed, volume, and emotion to match your brand's tone.

To learn more about this feature, see the Amazon Connect Customer Administrator Guide. For the full list of supported languages and voices, see Supported Languages. For region availability, please see the availability of Amazon Connect Customer features by Region. To learn more about Amazon Connect Customer, an agentic AI solution that helps enterprises deliver exceptional customer experiences visit the Amazon Connect Customer website.

Today, AWS launches enhanced event filtering for network activity events for VPC end points, a CloudTrail event type that captures actions transmitted through a Virtual Private Cloud Endpoint. Customers can now control which network activity events are logged based on the IAM user identity making the API call. For example, you can configure selectors to log only access denied events when the calling user identity is not on a known safe list. This lets you capture unauthorized access attempts while excluding routine traffic from trusted identities, reducing both logging costs and noise.

With UserIdentity filtering, customers building a data perimeter strategy can focus on network activity event logging for scenarios that matter most in security. You can configure selectors to log only VpceAccessDenied events from identities outside a trusted set of IAM roles. This enables detection of potential data exfiltration attempts through VPC endpoints without the cost of logging every successful API call from approved principals. You can combine UserIdentity conditions with existing fields like eventName or vpcEndpointId for fine-grained control over what gets recorded.

You can use this feature via the AWS Management Console, AWS Command Line Interface, and AWS SDKs. This feature is available in all AWS Regions where CloudTrail network activity events are supported. To learn more about Network Activity events, visit the AWS CloudTrail user guide or read AWS Blog on how to enable Network Activity Events.

 

Today, AWS announces standardized product metadata for Amazon Bedrock in AWS Data Exports (Cost and Usage Report), giving FinOps teams and cloud administrators consistent, structured attributes to understand  Bedrock costs. AWS Data Exports lets you create customized exports of your AWS cost and usage data and deliver them to Amazon S3 for querying with Amazon Athena or loading into your data warehouse. With these attributes, you can attribute Bedrock spend without building custom logic to parse various product metadata in CUR 2.0.

The standardized attributes include model provider, model name, pricing unit, inference type (such as input tokens or output tokens), and feature (the inference serving mode, such as On-Demand or Batch), along with a unified "Amazon Bedrock" product family name that consolidates all Bedrock costs. In CUR 2.0, the model provider, model name, inference type, and feature attributes are available in the product map column, and pricing unit is available as a column. The standardized fields are available by default, at no additional cost, to Amazon Bedrock customers using AWS Data Exports.

To learn more, visit the Amazon Bedrock product page, and see Product columns in the AWS Data Exports User Guide for the standardized product attributes.

AWS HealthOmics private workflows are now available in the Asia Pacific (Tokyo) and US East (Ohio) Regions, expanding access to fully-managed bioinformatics workflows for research, drug discovery, and agriculture science initiatives with regional compliance requirements. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed bioinformatics workflows.

With HealthOmics private workflows, customers can build and scale genomics data analysis pipelines using familiar domain-specific languages including Nextflow, WDL, and CWL, enabling healthcare and life sciences customers to focus on scientific discovery rather than infrastructure management. HealthOmics provides built-in features, such as Git integrations for version-controlled workflow development and third-party container registry support through Amazon ECR, to make it easy to migrate existing pipelines and accelerate development of new genomics workflows while maintaining full data provenance and compliance requirements.  

Private workflows are now available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), and Asia Pacific (Seoul, Singapore, Tokyo). To learn more, visit the AWS HealthOmics User Guide. For more information on pricing, visit AWS HealthOmics pricing.

AWS Partner Central agents now support all AWS Partner funding programs. AWS Partners can get guidance on eligibility requirements, application processes, and program details for any funding program and receive documentation-backed answers in seconds.

The agents already automate the full funding lifecycle for four funding programs, supported since the March 2026 launch. This expansion adds Strategic Collaboration Agreement (SCA) and AWS Growth Initiative (AGI) funding programs, eliminating manual data entry and reducing eligibility errors. The agents validate eligibility against opportunity and partner data, review uploaded documentation against program requirements, and draft fund requests with auto-populated fields.

AWS Partner Central agents are available in all commercial AWS Regions. To get started, open an opportunity in AWS Partner Central to receive funding recommendations, or review the agents guide for more details.

AWS Marketplace now enables India-based sellers to upload and manage their seller signatures directly through AWS Partner Central, eliminating the previous manual, email-based submission process. Sellers located in India are required to provide a valid seller signature for tax invoicing and regulatory compliance. This launch consolidates Goods and Services Tax Identification Number (GSTIN) registration and seller signature management into a single, centralized location purpose-built for India-based sellers transacting on AWS Marketplace.

Once uploaded, AWS Marketplace securely stores your signature and uses it for applicable buyer tax invoices generated on your behalf for transactions in India. This launch introduces automated real-time validation and a new tax summary container providing at-a-glance visibility into GSTIN registration and seller signature verification status. Sellers are notified by email when their signature is verified or rejected, and can resolve rejections independently by resubmitting directly in the console using the displayed rejection reason, ensuring real-time compliance visibility.

To learn more about managing your tax compliance and seller signature in AWS Partner Central, visit the AWS Marketplace Seller Guide.

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the latest Cumulative Updates (CU) and General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for Microsoft SQL Server 2016 SP3+GDR KB5089271 (RDS version 13.00.6490.1.v1), SQL Server 2017 CU31+GDR KB5090354 (RDS version 14.00.3530.2.v1), SQL Server 2019 CU32+GDR KB5090407 (RDS version 15.00.4470.1.v1) and SQL Server 2022 CU25 KB5081477 (RDS version 16.00.4255.1.v1).

The GDR updates address vulnerabilities described in CVE-2026-40370. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5089271, KB5090354, KB5090407 and KB5081477. We recommend that you upgrade your Amazon RDS for SQL Server instances to apply these updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. You can learn more about upgrading your database instance in the Amazon RDS SQL Server User Guide for upgrading your RDS Microsoft SQL Server DB engine.

Amazon Managed Service for Prometheus now supports up to 1.5 billion active metric time series and up to 200,000 total recording and alerting rules per workspace. Customers can also create many workspaces per account, enabling the storage and analysis of billions of Prometheus metrics across their organization.

Amazon Managed Service for Prometheus is a fully managed, Prometheus-compatible monitoring service that makes it easy to monitor and alert on operational metrics at scale. It automatically scales ingestion and storage for high-cardinality workloads across containerized, serverless, and hybrid environments, and integrates with AWS security services for fast, secure access to data.

To get started, create an Amazon Managed Service for Prometheus workspace and increase your workspace active series or rules limits by filing a service limit increase request in AWS Support Center or AWS Service Quotas.

Last week, my team visited Seoul to meet AWS Korea User Group (AWSKRUG) leaders. AWSKRUG is the largest cloud developer community in Korea, with 20 meetup groups organized by topic and area that collectively host over 100 events each year, primarily in Seoul. My team regularly visits countries across the Asia-Pacific region, listens to feedback […]

半導体設計のクラウド活用を徹底解説するイベント「EDA on the Cloud – Tokyo」を8月4日（火）に麻布台ヒルズで開催します。 AWSによる最新のEDAソリューションに加え、ソニーセミコンダクタソリューションズ様の事例講演、NetApp・AMD・Intel・Cadence・Siemens EDA・Anthropic・ChipAgentsら各社によるAI×EDAの最先端セッションをお届けします。 参加費は無料です。詳細・お申し込みはブログをご覧ください。

2026 年 6 月 25 日、26 日に AWS Summit Japan が開催され、多数のセッションとブ […]

今週の「週刊生成AI with AWS」は、3 万人が利用する生成 AI 基盤を AIエージェント活用基盤へ進化させた村田製作所様の事例をはじめ、音声 AI や Well-Architected レビューでのAI活用、LLMコスト最適化など幅広い話題をお届けします。公開から 1 周年を迎えた Kiro については、この 1 年の振り返りや GPT-5.6 対応などの記事に加え、AWS Summit Japan 2026 各ブースの開催報告もまとめてご紹介。サービスアップデートでは、OpenAI GPT-5.6 の Amazon Bedrock での一般提供開始や、Amazon GuardDuty AI Protection・AWS Security Hub の AI インベントリなど、AI ワークロードのセキュリティ強化に関する発表が並びます。

Amazon SageMaker HyperPod が Slurm クラスターでカスタム AMI をサポート、Voxtral-Mini-4B-Realtime をリアルタイム音声文字起こし向けに Amazon SageMaker JumpStart で提供開始、OpenAI GPT-5.6 Sol, Terra, Luna が Amazon Bedrock で一般提供開始、AWS Security Hub が組織全体の AI アセットを可視化する AI インベントリの提供を開始、AWS Lambda が self-managed code storage に対応など

Amazon Web Services (AWS) successfully completed an onboarding audit with no findings for ISO 9001:2015, 27001:2022, 27017:2015, 27018:2019, 27701:2019, 20000-1:2018, and 22301:2019, and Cloud Security Alliance (CSA) STAR Cloud Controls Matrix (CCM) v4.0. EY Certify Point auditors conducted the audit and reissued the certificates on May 31, 2026. The objective of the audit was to […]

The new Amazon GuardDuty investigation agent (now in public preview) investigates security findings across your Amazon Web Services (AWS) environment, reducing investigation time from hours to minutes. GuardDuty is our managed threat detection service that continuously monitors your AWS accounts and workloads for suspicious, potentially malicious activity, and unauthorized behavior, delivering detailed security findings for […]

In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue.

This post describes how Couchbase adopted Amazon Bedrock to power Capella iQ with Anthropic’s Claude family of models, the architectural decisions behind their multi-model approach, and the operational benefits realized in production.

In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Agent Toolkit to build a supply-chain risk example that helps a planner move from an Amazon Quick dashboard and knowledge context to a guided mitigation recommendation.

In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Relay to build a supply-chain risk example that helps a planner move from an Amazon Quick dashboard and knowledge context to a guided mitigation recommendation.

With the stock firmware and software, developers couldn't modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. In this post, we introduce the bootloader, discuss how to use it, and share links to a community distribution that uses it.

In this 33rd quarterly recap post, discover the most impactful AWS serverless launches, features, and resources from Q2 2026 that you might have missed. Stay current with the latest serverless innovations that can improve your applications. In case you missed our last ICYMI, read about what happened in Q1 2026. AWS Lambda MicroVMs AWS Lambda […]