8/26/2026, 12:00:00 AM ~ 8/27/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon Cognito adds admin API operation to reset user TOTP configurations
Amazon Cognito now provides a new admin API operation to reset a user’s time-based one-time Password (TOTP) multi-factor authentication (MFA) configuration. When users lose access to their TOTP device, administrators can remove the device association, allowing the user to enroll a new device on their next sign-in.\n This removes the need to recreate accounts to recover locked-out users if they lose access to their TOTP device. Customers can maintain MFA enforcement while providing a recovery path.
This new capability is available in all AWS Regions where Amazon Cognito is available. To get started, access the AdminDeleteSoftwareToken API using the AWS CLI, SDKs, or APIs. See the developer guide for instructions.
Amazon Connect Customer now supports unplanned shrinkage in agent schedules
Amazon Connect Customer now enables managers to input unplanned shrinkage in agent schedules, providing a more accurate picture of staffing due to unscheduled agent absences such as late logins or unplanned sick leave. Managers can upload unplanned shrinkage assumptions directly into agent schedules and immediately see updated scheduling metrics such as scheduled headcount, net staffing, and projected service level — each adjusted for unplanned shrinkage. For example, if 10% of the agents scheduled to work at 8 AM next Monday are expected to be unavailable due to late logins, then projected service level falls from 90% to 85% with unplanned shrinkage. This enables workforce managers to proactively address gaps in staffing that may arise due to unplanned agent unavailability, thus improving scheduling accuracy and their ability to maintain target service levels.\n
This feature is available in all AWS Regions where Amazon Connect Customer agent scheduling is available. To learn more about Amazon Connect Customer agent scheduling, click here .
Mountpoint for Amazon S3 adds memory usage controls
Mountpoint for Amazon S3 can now limit memory usage, either automatically based on the environment it runs in or with a limit that you define. This lets you run Mountpoint alongside memory-intensive applications, for example, in machine learning training or analytics workloads where applications share a memory budget.\n Previously, Mountpoint’s memory usage could expand over time based on usage patterns, potentially causing performance or stability issues when competing with other memory-intensive applications. With this launch, you can define a memory target for Mountpoint to reserve memory for your applications. Alternatively, Mountpoint can automatically determine a safe default based on the environment it runs in. For example, when running in Amazon EKS, Mountpoint can automatically detect a container’s assigned memory budget. Under memory pressure, Mountpoint slows down operations to stay within this budget, enabling you to run Mountpoint in containers with strict memory allocations.
Mountpoint is available in all AWS Regions. To upgrade to the latest version, visit the Mountpoint GitHub repository. To learn more about Mountpoint, see the overview page and the configuration guide in the Mountpoint GitHub repository.
Amazon Connect Customer now supports points-based scoring in performance evaluations
Amazon Connect Customer now supports points-based scoring to evaluate human and AI agent performance, giving managers more flexibility in configuring evaluation scores. With points-based scoring, managers assign points to each criterion based on its importance to the business, and the score is the sum of the points earned. In contrast, with the existing percentage-based scoring, each question is assigned weights that need to add up to 100%. For example, a points-based evaluation might award 40 points for resolving the customer’s problem, 20 for meeting compliance requirements, and 10 for a proper greeting – without the need for scores to add up to 100. Managers control how points are awarded: combining several compliance criteria into one multiple-choice question to shorten the form, excluding the call reason from scoring, or awarding bonus points for strong customer rapport. Managers decide what counts, how much it counts, and what earns extra credit, so the score reflects what the business values most.\n This feature is available in all regions where Amazon Connect Customer is offered. To learn more, please visit our documentation and our webpage.
AWS Backup now supports copying Amazon DocumentDB backups across AWS Regions and storing them in logically air-gapped vaults in nine additional AWS Regions: Asia Pacific (Hong Kong, Jakarta, Melbourne, Osaka), Europe (Spain, Stockholm, Zurich), Africa (Cape Town), and Israel (Tel Aviv).\n With cross-Region copy now available in these Regions, you can copy DocumentDB backups into and out of them using backup plans or on-demand copy jobs. This helps you meet disaster recovery, business continuity, and compliance requirements. You can also copy DocumentDB backups to a logically air-gapped vault in these Regions to store immutable, isolated backups that are locked by default and encrypted using AWS owned or customer-managed keys. Share vaults for recovery using AWS Resource Access Manager (RAM) and protect vault access during account compromise with Multi-party approval, reducing recovery time from a data loss event.
To get started, visit the AWS Backup console, AWS Command Line Interface (CLI), or AWS SDKs. For a complete list of supported Regions and features, visit the AWS Backup documentation. To learn more about logically air-gapped vaults, visit the product page and pricing page.
AWS Blogs
AWS Japan Blog (Japanese)
AWS Architecture Blog
- Gallup scales real-time coaching for thousands with Amazon Bedrock
- Closing the AI agent trust gap with graduated autonomy
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AWS Cloud Operations Blog
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- Migrate an OAuth 2.0 authenticated Apache Kafka cluster to Amazon MSK with MSK Replicator
- Announcing in-place ZooKeeper-to-KRaft cluster upgrades for Amazon MSK
- Amazon MSK Service 101: How many partitions does an Amazon MSK topic need?
- AWS and DuckLabs: Building the future of analytics together
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The Internet of Things on AWS – Official Blog
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- Evaluate any agent framework with Amazon Bedrock AgentCore Evaluations
- How GoDaddy transformed its analytics with Amazon Quick
- Natera’s intelligent appointment scheduling with Amazon Bedrock AgentCore
- Bring your own model with Amazon SageMaker AI: Script mode in SDK v3
- Preparing data for supervised fine-tuning Part 2: Advanced data strategies
- Preparing data for supervised fine-tuning Part 1: Formatting and quality
- Connect Amazon Bedrock AgentCore to cross-account knowledge bases
Networking & Content Delivery
AWS Security Blog
- ICYMI: July 2026 @AWS Security
- Detecting multi-stage attacks on AWS: A guide to cross-service signal correlation