8/21/2026, 12:00:00 AM ~ 8/24/2026, 12:00:00 AM (UTC)

Recent Announcements

Amazon Bedrock announces reduced pricing for OpenAI GPT-5.6 Sol

Today, OpenAI announced that they are lowering API prices for GPT-5.6 Sol. Following the recent Terra and Luna price reductions, Sol now costs $4 per million input tokens and $20 per million output tokens—20% lower input pricing and 33.3% lower output pricing. This promotional pricing is available at least through November 21, 2026.\n

Whether you’re building autonomous coding agents, running complex multi-step analyses, or performing advanced research workflows, the reduced pricing gives you more room to experiment and scale what’s already working. GPT-5.6 Sol delivers state-of-the-art results on agentic coding benchmarks, and the lower price point makes it more accessible for sustained, high-volume workloads.

For latest Regional availability of GPT-5.6 Sol, check the AWS Regions page. To learn more and view the pricing visit the Amazon Bedrock documentation on GPT-5.6 Sol.

Amazon Connect Customer now lets managers chat with their data

Amazon Connect Customer now lets managers chat with their data in plain language and get back the answer, the evidence behind it, and the fix, in seconds. Managers have always had the data. What they haven’t had is the time to dig through dashboards, find what’s driving performance, and decide what to do next. Now Amazon Connect Customer does that work for them. It searches across more than 150 metrics spanning self-service, agent performance, and queue performance to find what matters, explain why, and recommend the best next step. \n   Managers can start broad and go deep in the same conversation. For example, a manager can ask which queues are the best candidates for automation, and Amazon Connect Customer reviews where handle time and after-contact work run highest, then returns a prioritized list with confidence scores and projected impact. What once required analysts, dashboards, and weeks of investigation now becomes a prioritized action plan in seconds.    This feature is available in all AWS Regions where Amazon Connect Customer AI Agents are supported. To learn more, visit our product documentation.

AWS Deadline Cloud now tracks automatic download status in the Deadline Cloud Monitor

The AWS Deadline Cloud monitor now shows the progress, status, and health of your automatic file downlaods from jobs running in the cloud. Deadline Cloud is a fully managed service that helps teams run compute-intensive workloads in the cloud for visual effects, animation, product design, simulation, and gaming. The Deadline Cloud Monitor (DCM) desktop app provides customers with visibility into their render environments, jobs, resources, and costs. Now, customers can also use the monitor to confirm that automatically configured job outputs successfully downloaded to their destination drive.\n With this update, the monitor app introduces a new Download status column at both the job and task level, showing download progress and confirming when all output files are available on your drive. An indicator displays how current that status is. If files are unavailable for any reason, the app surfaces clear guidance on next steps. This eliminates manual drive verification and helps teams confidently confirm output availability before downstream tasks begin, particularly valuable in large-scale render pipelines where manual file checking is impractical.

To learn more about AWS Deadline Cloud and the new automatic download status feature in the Deadline Cloud Monitor desktop app, visit https://aws.amazon.com/deadline-cloud/.

Amazon EKS Capability for Argo CD now supports custom configuration

The Amazon Elastic Kubernetes Service (Amazon EKS) Capability for Argo CD now supports custom configuration through a standard argocd-cm ConfigMap in your cluster. This capability gives you a fully managed GitOps continuous delivery experience, and you can now tune it to fit how your teams work. You can define custom health checks for your Custom Resources, customize the Argo CD UI banner content, adjust how the capability watches and compares the resources it manages, and more. You configure these settings the same way you do in upstream Argo CD, and AWS applies them to your managed capability.\n With this launch, cluster administrators now have more control over how Argo CD reports application health. By default, Argo CD has no built-in health logic for Custom Resources, so an Application can report as healthy while its resources are still provisioning, and sync waves can advance before those resources are ready. With a custom health check, you define this logic yourself. For example, a health check for a database resource can hold an Application at progressing until the database is ready. The capability also includes built-in health checks for AWS Controllers for Kubernetes (ACK) and kro (Kube Resource Orchestrator) resources, so these report accurate health with no additional configuration.

You can configure the EKS Capability for Argo CD in all AWS Regions where the capability is available. To learn more, see Amazon EKS and Configure Argo CD settings in the Amazon EKS User Guide.

AWS Glue 6.0 delivers 30% price reduction and Iceberg v3 support

AWS Glue 6.0 is now generally available, delivering a 30% price reduction and introducing full support for Apache Iceberg v3, newer versions of Apache Hudi and Delta Lake, and new capabilities to improve developer productivity. AWS Glue 6.0 also upgrades runtime to Apache Spark 4.1, Python 3.13, and Scala 2.13.\n With Apache Iceberg v3, AWS Glue 6.0 adds the VARIANT data type with automatic shredding for faster reads on semi-structured data, deletion vectors for high-performance row-level updates, geometry and geography data types for spatial processing, and flexible schema evolution through UNKNOWN data type and DEFAULT column values. Glue 6.0 also introduces features that boost developer productivity and performance, such as Spark Declarative Pipelines that eliminate repetitive orchestration code, Real-Time Mode streaming for sub-second latencies, and Arrow-native Python UDFs for improved PySpark performance. These capabilities help you implement large-scale ETL, recurring batch workloads, streaming analytics, and AI application development using AWS Glue.

AWS Glue 6.0 is available in all AWS Commercial, AWS GovCloud (US), and AWS China regions.

To get started, select Glue 6.0 from the version dropdown in the AWS Glue console or SageMaker Unified Studio when creating a new job, or migrate existing jobs using the Spark Upgrade Agent. To learn more, visit the AWS Glue documentation and AWS Glue pricing.

Amazon SES now supports open and click tracking override parameters

Amazon Simple Email Service (SES) now supports open and click tracking override parameters in the SendEmail and SendBulkEmail APIs. Senders can enable or disable open tracking and click tracking on an individual API call, rather than managing tracking preferences through separate configuration sets.\n Previously, controlling tracking behavior required maintaining a distinct configuration set for each combination of open- and click-tracking settings. With this new capability, you specify the tracking preference directly in the send request, reducing configuration overhead and simplifying how you honor recipient-level tracking consent. This is useful for senders that must respect per-recipient consent choices to meet data protection requirements such as GDPR and CNIL guidance. The tracking overrides apply per request and take precedence over the tracking behavior defined in the associated configuration set, giving you fine-grained control without changing your existing configuration set structure. There is no additional cost to use this feature. This capability is available in all AWS Regions where Amazon SES is available.

To learn more, see the documentation on open and click tracking in the Amazon SES Developer Guide.

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