Cloud Computing Köln

Amazon DynamoDB Streams now supports timestamp-based stream processing

Amazon DynamoDB Streams now supports timestamp-based stream processing, enabling you to begin reading stream records from a specific point in time. Previously, you could only start from the oldest retained record (up to 24 hours old) or from new records written after you start consuming the stream. Now, you can supply a timestamp and begin processing at the first record written at or after that time using the AT_TIMESTAMP shard iterator type.
Timestamp-based stream processing can be used with the Amazon Kinesis Client Library (KCL) through the DynamoDB Streams Kinesis adapter. It helps you avoid reprocessing entire retained streams or missing records when resuming stream consumption, supporting common use cases such as recovery after an interruption, data replay for debugging and auditing by reading from a specific point in the past, skipping a backlog by resuming from a recent timestamp near the latest records, and synchronizing after a restore by beginning at the export timestamp following a point-in-time recovery (PITR) export.
Timestamp-based stream processing is available in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions. There is no additional charge for this feature beyond standard GetRecords API request charges. To get started, see Amazon DynamoDB Streams timestamp documentation in the DynamoDB developer guide.
Quelle: aws.amazon.com

Amazon EC2 T8i instances are now available in South America (São Paulo)

Amazon Elastic Compute Cloud (Amazon EC2) T8i instances are now available in South America (São Paulo). These instances are powered by custom sixth generation Intel Xeon 6 processors, available exclusively on AWS, and built on the latest sixth generation AWS Nitro cards. T8i instances deliver up to 30% better price performance compared to previous generation T3 instances, and offer four sizes: nano, micro, small, and medium. These instances are designed for workloads requiring low to moderate CPU utilization, including data processing, login gateways, small databases, batch processing, event driven functions, CI/CD pipelines, microservices, and low traffic websites.

T8i instances deliver up to 70% higher compute performance, 1.25x higher network bandwidth, and 2.4x higher EBS bandwidth compared to T3 instances. They use the same CPU credit system as T3 with Standard and Unlimited modes, so existing T3 customers can upgrade to T8i and immediately benefit from better price performance, enabling them to lower their TCO. For customers new to AWS or migrating from on-premises, T8i instances provide one of the most cost-effective entry points to run a variety of workloads.

T8i.micro and T8i.small are available under the AWS Free Tier. T8i instances are available in US East (N. Virginia, Ohio), US West (Oregon, N. California), Europe (Frankfurt, Ireland, London, Paris), Asia Pacific (Hyderabad, Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), Canada (Central) and South America (São Paulo) regions. T8i instances are available to purchase via On-Demand instances, and Spot instances with Savings Plan option coming soon. To learn more, visit the Amazon EC2 T8i instances page.
Quelle: aws.amazon.com

Amazon SageMaker Studio simplifies getting started for new AI/ML builders with new sign-in options

Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment – no traditional AWS account setup and no console navigation required.
Previously, new customers who discovered a model on Hugging Face or an AWS product page had to complete a multi-step AWS account creation process, provide a credit card, navigate the AWS Console to find SageMaker AI, configure an environment, and set up IAM permissions before they could begin working. With earlier launches, we reduced environment setup to twenty seconds, pre-configured model customization permissions, and introduced deep links from Hugging Face and AWS product pages so customers could land directly inside Studio with a model pre-loaded. Now, with new sign-in options, customers complete a simplified sign-up using an existing identity, receive free credits as part of the AWS Free Tier with no credit card required in most cases, and arrive inside a ready-to-use SageMaker Studio environment where they can immediately fine-tune, evaluate, and deploy foundation models. Customers can invite team members by email, and collaborators sign in with their own email credentials to access the shared Studio environment, including shared models, notebooks, and endpoints without configuring IAM users or permissions. When a project grows beyond free credits, customers can upgrade to a paid plan and set a spend limit to stay within budget. Verified customers continue to receive default GPU access to G5, G6, G6e, and G4dn instances across endpoint deployments, training jobs, and notebooks without requesting quota increases.
This feature is available in all AWS Commercial Regions where Amazon SageMaker Studio is supported. To get started, visit any supported model on Hugging Face and select “Customize and Deploy on SageMaker AI” or “Deploy on SageMaker AI,” or click Get Started from the SageMaker Studio page. To learn more, see the AWS sign-up documentation and SageMaker Studio setup guide.
Quelle: aws.amazon.com

Web Search on Amazon Bedrock AgentCore expands to AWS GovCloud and 3 Regions

Web Search on Amazon Bedrock AgentCore is now available in four additional AWS Regions: US East (Ohio), US West (Oregon), Asia Pacific (Sydney), and AWS GovCloud (US-West). Web Search is a fully managed tool that provides AI agents with current grounding from the web, enabling more accurate and up-to-date responses for tasks such as research, summarization, and question answering.
With this expansion, customers can build agents that retrieve web information closer to their applications and end users with lower latency. Customers with government workloads can now use Web Search in the AWS GovCloud (US-West) Region to meet compliance and data residency requirements. 
To learn more about Web Search on Amazon Bedrock AgentCore, see the Web Search tool documentation. To learn about pricing, visit Amazon Bedrock AgentCore pricing. For Region availability, visit Supported AWS Regions.
Quelle: aws.amazon.com

Amazon Time Sync Service adds support for microsecond-accurate time on 135 additional EC2 instance types in all commercial regions

Amazon Time Sync Service introduces support for microsecond-accurate time on 135 additional EC2 instance types—spanning 12 instance families—in all commercial regions. Built on Amazon’s proven network infrastructure and the AWS Nitro System, microsecond-accurate time and nanosecond-precision hardware timestamps leverage the reference clocks running in the Nitro System directly, enabling customers to easily order application events, measure 1-way network latency, and increase distributed application transaction speed.
The newly supported families include eight Gen8 families (C8a, C8i, C8i-flex, C8id, M8i, M8i-flex, R8a, and X8i) and four Gen9 families (C9g, C9gd, M9g, and M9gd).
Starting today, customers can access microsecond-accurate time on these additional instance types by creating a Precision Time Placement Group (PTPG), a new placement strategy that allows customers to launch instances with Precision Time Protocol hardware clock (PHC) enabled. Customers that require both low network latency as well as precision time can associate a PTPG with their Cluster Placement Group (CPG), so that their low-latency workloads also benefit from microsecond-accurate time.
For more information, refer to the Amazon Time Sync Service documentation.
Quelle: aws.amazon.com