7/25/2025, 12:00:00 AM ~ 7/28/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon Connect launches forecast editing UI
Amazon Connect now simplifies forecast editing with a new UI experience, enabling planners to make adjustments quickly and better respond to changing contact patterns. With this launch, users can select a forecast, make edits—such as increasing contact volume by a percentage or setting exact values—across specific date ranges, queues, and channels, preview and apply changes within the forecasting UI. For example, if there’s an upcoming marketing campaign expected to drive higher traffic, a planner can increase the short-term forecast by 15% for Tuesdays and Wednesdays between 12 PM and 2 PM for the next two weeks. With this feature, planners can simplify the process of managing forecast changes, improve planning accuracy, and respond faster to demand fluctuations.\n This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about agent scheduling, click here.
Amazon EC2 C7i instances are now available in Asia Pacific (Jakarta) Region
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in the Asia Pacific (Jakarta) Region. C7i instances are supported by custom Intel processors, available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.\n C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad-serving, and video encoding. C7i instances offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. C7i instances support new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. Customers can attach up to 128 EBS volumes to a C7i instance vs. up to 28 EBS volumes to a C6i instance. This allows processing of larger amounts of data, scale workloads, and improved performance over C6i instances. To learn more, visit Amazon EC2 C7i Instances. To get started, see the AWS Management Console.
Amazon Connect now supports AWS CloudFormation for message template attachments
Amazon Connect now supports AWS CloudFormation for Outbound Campaign message template attachments, enabling you to create, manage, and deploy these template attachments using AWS CloudFormation. This enhancement allows customers to define and deploy attachments, such as images or documents, as part of the existing MessageTemplate CloudFormation resource.\n Message template attachments are used in outbound email campaigns to enrich content and improve engagement. With this launch, customers can now manage attachments programmatically through infrastructure as code, ensuring consistency, repeatability, and automation across staging, test, and production environments. This feature is available in all AWS Regions where Amazon Connect Outbound Campaigns are supported. For more information, see the AWS Region table. To learn more, see Message templates in the Amazon Connect Administrator Guide or visit the Amazon Connect product page.
AWS HealthOmics introduces third-party Git repository support for workflow creation
AWS HealthOmics announces third-party Git repository integration via AWS CodeConnections for workflow creation, enabling bioinformaticians and researchers to seamlessly connect their existing source code management repositories to HealthOmics. This new capability allows customers to automatically pull workflow definitions, parameter templates, and README files directly from GitHub, GitLab, or Bitbucket repositories without intermediate steps. 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 Git integrations can streamline bioinformatics workflow management by eliminating multiple manual steps required to stage and update workflow files. Customers can now specify a particular branch, tag, or commit ID to ensure version control and reproducibility while maintaining their existing development processes. This feature is particularly valuable for organizations with established bioinformatics pipelines that want to leverage HealthOmics’ scalable compute capabilities while preserving their third-party Git-based collaboration workflows. By connecting directly to versioned source repositories, teams can maintain a single source of truth for their workflow code, simplifying change management and enhancing reproducibility. Git integration for workflow creation 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 integrating Git repositories with your HealthOmics workflows, see the AWS HealthOmics documentation.
AWS Blogs
AWS Japan Blog (Japanese)
- AWS Weekly Roundup: Kiro, AWS Lambda Remote Debugging, Amazon ECS Blue/Green Deployment, Amazon Bedrock AgentCore, etc. (July 21, 2025)
- Key announcements about the 2025 AWS Summit in New York
- AWS Announces New Innovations for Building AI Agents at AWS Summit New York 2025
AWS Architecture Blog
- How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale
- How HashiCorp made cross-Region switchover seamless with Amazon Application Recovery Controller
AWS Cloud Operations Blog
- Alarming on SLOs in Amazon Search with CloudWatch Application Signals – Part 2
- Alarming on SLOs in Amazon Search with CloudWatch Application Signals – Part 1
AWS Big Data Blog
- Build an analytics pipeline that is resilient to Avro schema changes using Amazon Athena
- Secure generative SQL with Amazon Q
- Optimize industrial IoT analytics with Amazon Data Firehose and Amazon S3 Tables with Apache Iceberg
- Use Databricks Unity Catalog Open APIs for Spark workloads on Amazon EMR
- Trusted identity propagation using IAM Identity Center for Amazon OpenSearch Service
Artificial Intelligence
- Build an intelligent eDiscovery solution using Amazon Bedrock Agents
- How PerformLine uses prompt engineering on Amazon Bedrock to detect compliance violations