6/24/2026, 12:00:00 AM ~ 6/25/2026, 12:00:00 AM (UTC)

Recent Announcements

Amazon EC2 announces AMI Watermarks for improved AMI governance

Amazon EC2 introduces AMI watermarks, letting you embed custom identifiers in your private AMIs. Once applied, a watermark automatically carries forward to every AMI derived from the original, whether you copy it across regions or create a new AMI from a running instance. Watermarks also remain visible when you share an AMI with other accounts. This helps you identify trusted AMIs, track provenance, and enforce governance policies across your organization.\n Each watermark includes metadata such as the AMI ID, owner ID, region, and creation timestamps, providing reliable provenance that persists regardless of how many times an AMI is copied or new AMIs are created from it. AMI Watermarks improve AMI tracking by enabling you to filter and find related AMIs across your accounts. For governance, you can combine watermarks with Allowed AMIs to restrict instance launches to only AMIs carrying approved watermarks and enforce the setting at scale across your organization through Declarative Policies. You can start adding AMI watermarks to your private AMIs by using the AWS Management Console, AWS CLI, or SDKs. To learn more, please visit the documentation. You can also attach watermarks through EC2 Image Builder, a service used to create and manage AMIs, as part of your AMI build pipeline. AMI watermarks are available to all customers at no additional cost in all AWS regions including AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions.

Amazon EMR Serverless now supports live configuration updates without application restarts

Amazon EMR Serverless now supports updates to key application configurations such as maximum capacity, and custom image settings — without stopping and restarting the application. New workloads submitted after the update automatically use the new settings, while existing workloads continue uninterrupted with their original configuration.\n Previously, modifying these settings required stopping your EMR Serverless application, making the change, and restarting it — forcing you to coordinate maintenance windows and temporarily block job submissions. Now you can adjust scaling boundaries or deploy updated custom images at any time without disrupting running jobs. This reduces operational overhead and lets you respond to changing workload demands or deploy image updates immediately. 

This feature is available on all Amazon EMR releases and in all AWS Regions where Amazon EMR Serverless is available. To learn more, visit the EMR Serverless User Guide.

AWS IoT Device SDK for Swift is now generally available

The AWS IoT Device SDK for Swift is now generally available, enabling Swift developers to build secure, scalable IoT applications natively on Apple platforms including macOS, iOS, and tvOS, as well as Linux. This SDK addresses the previous lack of native Swift support for AWS IoT services, providing stable, production-ready APIs specifically designed for teams managing IoT device fleets and building cross-platform IoT solutions across the Apple ecosystem.\n The SDK delivers comprehensive capabilities for real-time device management and secure communication. With integrated service clients for AWS IoT Device Shadow, Jobs, and Fleet Provisioning, developers can synchronize device states between applications and AWS IoT Core, manage remote operations on connected devices at scale, and automate certificate and policy creation for secure device onboarding. The SDK also provides built-in TLS 1.3 support on Apple iOS and tvOS platforms, ensuring IoT applications use the latest industry-standard security practices for protecting data in transit.

To learn more, visit the  AWS IoT Device SDK documentation  and explore  code samples on GitHub . Get started by installing the SDK via Swift Package Manager.

Amazon Neptune now supports AWS CloudFormation for global databases

Amazon Neptune now supports AWS CloudFormation for provisioning and managing Neptune global databases. Using the new AWS::Neptune::GlobalCluster resource type, you can define your multi-region graph database topology as code — automating deployment, storing configurations in source control, and integrating with CI/CD pipelines.\n Neptune global databases provide a primary cluster with read-write capability and up to five read-only secondary clusters in different AWS Regions, connected through low-latency replication via the Neptune storage subsystem. Common use cases include low-latency read access across regions, disaster recovery, data residency compliance, and high-availability graph deployments with centralized writes and distributed reads.

This feature is available in all AWS Regions where Neptune global databases are supported.  To get started, see the Neptune global databases CloudFormation documentation.

Amazon CloudWatch now supports tags on dashboards

Amazon CloudWatch now supports tagging for CloudWatch dashboards, enabling you to organize, categorize, and control access to your dashboards using tags. Tags are key-value pairs that help you identify and manage AWS resources across your environment.\n With this launch, the PutDashboard API now accepts an optional Tags parameter, allowing you to assign up to 50 tags when creating a new dashboard. The TagResource, UntagResource, and ListTagsForResource APIs now support dashboard ARNs, enabling you to add, remove, and list tags on existing dashboards. You can also manage dashboard tags using AWS CloudFormation. This new capability allows you to group dashboards by team by team, project, or environment, implement attribute-based access control by scoping IAM permissions to dashboards with specific tag values, and filter dashboards by tag in AWS Resource Explorer. CloudWatch Dashboard tagging support is available at no additional cost in all AWS Regions where Amazon CloudWatch is available. To learn more, see TagResource in the Amazon CloudWatch API Reference. To get started with CloudWatch dashboards, see Amazon CloudWatch features.

Amazon EC2 High Memory U7in-24TB instances now available in AWS Asia Pacific (Seoul) region

Amazon EC2 High Memory U7in-24TB instances (u7in-24tb.224xlarge) are now available in AWS Asia Pacific (Seoul) region. U7i instances are part of the AWS 7th generation and are powered by custom fourth-generation Intel Xeon Scalable processors (Sapphire Rapids). U7in-24TB instances offer 24 TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i instances offer up to 45% better price performance over existing U-1 instances.\n U7in-24TB instances deliver 896 vCPUs and support up to 100 Gbps of Amazon EBS bandwidth for faster data loading and backups, 200 Gbps of network bandwidth, and ENA Express. U7i instances are ideal for customers running mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.

To learn more about U7i instances, visit the High Memory instances page.

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The Internet of Things on AWS – Official Blog

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