awsAug 3, 2026

AWS Weekly Roundup: Price reduction of GPT models in Bedrock, CloudWatch managed collectors for Prometheus metrics, and more (August 3, 2026) | Amazon Web Services (opens in new tab)

The AWS Weekly Roundup highlights major updates in AI pricing, observability, multicloud networking, identity resilience, and data lakes. The biggest change is an up to 80% price reduction for OpenAI GPT‑5.6 Luna models in Amazon Bedrock, alongside several managed services that reduce infrastructure and operational overhead. ## Lower Bedrock Pricing for GPT‑5.6 - Effective July 30, GPT‑5.6 Luna inference prices dropped by 80%. - New pricing is: - $0.20 per million input tokens - $1.20 per million output tokens - GPT‑5.6 Terra prices decreased by 20%. - The reductions apply automatically and require no customer action. ## Managed Prometheus Monitoring in CloudWatch - Amazon CloudWatch now provides fully managed Prometheus collectors. - Customers can collect metrics from: - Amazon EKS - Amazon EC2 - Amazon ECS - Amazon MSK - Amazon OpenSearch Service - This removes the need to deploy and maintain custom Prometheus scraping agents. ## Private Multicloud Connectivity with OCI - AWS Interconnect for Oracle Cloud Infrastructure is now generally available. - It enables resilient, scalable private connections between AWS and OCI. - Traffic avoids the public internet, improving security, performance, and reliability for multicloud workloads. ## Multi-Region IAM Identity Center - IAM Identity Center can now replicate its built-in Identity Center directory across Regions. - During a primary-Region disruption, users can continue accessing AWS accounts through provisioned entitlements in additional Regions. - Previously, multi-Region support was limited to deployments using external identity providers. ## Variant Support in S3 Tables - Amazon S3 Tables now supports Apache Iceberg V3’s Variant data type. - Variant provides native, high-performance support for semi-structured data. - Suitable use cases include IoT sensor data, application logs, and schema-flexible payloads without storing everything as JSON blobs. ## Additional AWS Resources - New AWS CLI single-line commands simplify installation and upgrades across platforms and CI environments. - A deployment guide covers running Moonshot AI’s Kimi K3 on SageMaker HyperPod and Amazon EKS. - Amazon MSK Express brokers can deliver Kafka data to Apache Iceberg streaming tables on S3 Tables, with throughput of up to 10 GB/s. - AWS Summits and AWS Community Days offer upcoming opportunities for cloud and AI learning and networking. AWS users should review the new Bedrock pricing, consider managed CloudWatch collectors to reduce monitoring maintenance, and evaluate the multicloud, identity, and Iceberg updates for architectures requiring greater resilience and scalability.

gpt-5.6amazon-bedrockapache-kafkaapache-iceberg+4

figmaJul 9, 2026

GPT-5.6 is Now Available in Figma Make | Figma Blog (opens in new tab)

GPT-5.6 is now available in Figma Make, where Figma says it improves both the speed and quality of AI-generated prototypes. The model is designed to produce stronger first passes, preserve existing designs more faithfully, and recover from errors without stopping. Figma’s examples suggest it can move teams from prompts or static designs to functional, responsive prototypes with less iteration. ## Faster exploration and error recovery - GPT-5.6 can turn complex prompts into working prototypes quickly, helping teams explore multiple ideas in one session. - In Figma’s stock-tracking app evaluation, it created: - An interactive dashboard - Sample prices and performance data - Keyboard shortcuts and search - A dark, gothic visual style - The model is described as more token-efficient, helping users make better use of Figma Make credits. - When builds encounter errors, GPT-5.6 can investigate and self-heal instead of stopping. Figma reports that it independently diagnosed and fixed a blank build. ## Faithful design-to-code conversion - GPT-5.6 can build prototypes from existing design specifications or Figma Design files. - In a nature sound player test, it preserved: - Layout and visual hierarchy - Spacing, proportions, and styling - A multi-track timeline and sound library - It also implemented functional interactions, including: - Play, pause, and skip controls - Working audio playback - Multiple playable tracks - Audio-responsive visual effects ## Higher-quality first passes - Figma says GPT-5.6 produces polished initial prototypes with functional interactions and responsive layouts. - A bookshelf e-commerce example included: - Product descriptions, measurements, and care information - Populated information dropdowns - An interactive product photo library - A clickable navigation menu - The prototype adapted reliably across different screen sizes without additional prompting. - Stronger first passes allow teams to spend more time refining ideas collaboratively rather than repairing basic implementation problems. GPT-5.6 is available through Figma Make’s model selector. Users can select it directly in Make and consult Figma’s help center for guidance on choosing and using AI models.

gpt-5.6prototypingfigma-makedesign-to-code+3