Cloud Computing Köln

Gemma 4 models are now available on Amazon Bedrock in AWS GovCloud (US-West)

The Gemma 4 family of open-weight models from Google DeepMind on Amazon Bedrock in AWS GovCloud (US-West). With Gemma 4, you can build generative AI applications across reasoning, multimodal understanding, agentic, and software engineering workflows.
The Gemma 4 family on Amazon Bedrock includes three variants – Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B – spanning dense and mixture-of-experts (MoE) architectures with built-in reasoning, native function calling, support for 35+ languages and multimodal input across text, image, video and audio. Gemma 4 31B is suited for reasoning- and coding-heavy workloads with a 256K-token context window, Gemma 4 26B-A4B targets cost- and latency-sensitive workloads, and Gemma 4 E2B is the smallest variant, designed for low-latency interactive use cases. Gemma 4 runs on a new innovation in Amazon Bedrock designed for price performance, with improved support for tool calling, structured output, reasoning, and response streaming, so customers can build reliable generative AI applications with open-source models.
To get started, visit Gemma 4 model detail pages in our documentation.
Quelle: aws.amazon.com

Amazon MSK Express brokers now delivers Apache Kafka data to Amazon S3

Amazon MSK Express brokers now delivers data to Amazon S3 general purpose buckets, providing a fully managed capability to deliver Apache Kafka data in Amazon S3 for downstream processing in the easiest and most reliable way. This capability automatically scales to deliver high-throughput Kafka data to S3 with end-to-end reliability for mission-critical workloads, while reducing ingestion and delivery costs by up to 60% compared to self-managed alternatives.
Customers deliver Apache Kafka data to Amazon S3 for use cases such as log archival, compliance retention, Kafka replay, and training AI/ML models, and typically build these pipelines with self-managed connectors that grow costly and operationally complex as workloads scale, forcing teams to build or source S3 connector plugins, secure approvals to deploy them, and continually scale capacity, and apply security updates across connector fleet. With this capability, MSK Express automatically handles scaling, retries, and backpressure so customers no longer manage connector fleets or coordinate across teams. MSK Express  supports throughput of up to 10 GB/s for data delivery to Amazon S3, and manages routine operations such as capacity scaling and version upgrades without introducing delivery gaps. Additionally, customers add this delivery capability without provisioning additional broker egress throughput, which eliminates the incremental infrastructure costs that scaling connector-based pipelines typically incurs, so customers scale delivery to actual workload demand rather than provisioning for peak, achieving reliable, high-throughput delivery to Amazon S3 while removing operational overhead and lowering costs.
Amazon MSK data delivery to Amazon S3 is available today in every AWS Region where Amazon MSK Express brokers are offered. For pricing information, visit the pricing page. To learn more, visit the Amazon MSK Developer Guide and Amazon MSK AI skills.
Quelle: aws.amazon.com

Amazon MSK Express brokers now deliver data to streaming tables for Apache Iceberg

Amazon MSK Express brokers now deliver data to streaming tables for Apache Iceberg, a new capability that continuously materializes Apache Kafka topics as Apache Iceberg tables on Amazon S3 Tables. Amazon MSK data delivery to streaming tables can reduce the cost of ingesting and delivering Apache Kafka data into Amazon S3 Tables by up to 60% versus self-managed deployments and reduces downstream query costs by up to 30% versus self-managed Apache Kafka deployments.
Customers rely on Apache Kafka to ingest real-time data for use cases like fraud detection and personalization and increasingly want to unify that data with Apache Iceberg tables for near real-time analytics but integrating the two forces them to operate complex custom pipelines, manage format conversions, and contend with the small-file problem, where high-volume ingestion creates many small parquet files that slow downstream queries and increase costs. With this capability, intelligent inline compaction eliminates the performance impact of small files and keeps query performance predictable without sacrificing data freshness, while built-in coordination resolves concurrent writer conflicts across high-throughput consumers. Amazon MSK supports throughput of up to 10 GB/s for delivery to Apache Iceberg on Amazon S3 Tables, and because this native capability adds no broker egress throughput, customers avoid the incremental infrastructure costs of scaling connector pipelines and match capacity to actual demand rather than peak. Customers deliver data to streaming tables and query or transform the data with any engine of their choice, including Apache Spark, Trino, or Apache Flink. 
To get started, customers open the Amazon MSK console, select the Express cluster, and enable the capability in a few clicks, or use the MSK APIs or MCP server. Amazon MSK data delivery to streaming tables is available today in every AWS Region where Amazon MSK Express brokers are offered. For pricing information, visit the pricing page. To learn more, visit the Amazon MSK Developer Guide and Amazon MSK AI skills.
Quelle: aws.amazon.com

AWS announces general availability of Policy-Based Routing on AWS Transit Gateway

AWS Transit Gateway now supports Policy-Based Routing (PBR), giving network administrators granular control over how traffic is forwarded across their AWS network. With PBR, forwarding decisions can be based on a combination of packet attributes including source and destination IP addresses, ports, and protocol rather than destination IP address alone. Previously, customers needing traffic steering or workload isolation had to build multi-VPC architectures with additional routing hops, adding complexity and operational overhead. PBR eliminates this by extending Transit Gateway’s native routing capabilities, enabling security architects and enterprise network teams to classify and direct traffic inline without extra infrastructure. Customers associate a policy table with a Transit Gateway attachment and define an ordered set of rules. Each rule classifies traffic and directs matching packets to a specified route table using first-match-wins logic. This supports use cases such as steering sensitive workloads through AWS Network Firewall or third-party inspection appliances, routing application traffic over AWS Direct Connect or AWS VPN paths based on source, port, or protocol, and isolating production and development environments into separate routing domains to limit lateral movement. Policy-Based Routing for AWS Transit Gateway is available in all commercial AWS Regions where Transit Gateway is available. You can configure PBR using the AWS Management Console, AWS Command Line Interface (CLI), and the AWS Software Development Kit (SDK). PBR incurs no additional charge beyond standard Transit Gateway fees. To learn more about Policy-Based Routing for AWS Transit Gateway, visit the AWS Transit Gateway product page .
Quelle: aws.amazon.com

OpenAI GPT-5.6 Terra and GPT-5.6 Luna pricing update on Amazon Bedrock

On 7/30, OpenAI announced updated pricing for GPT-5.6 Terra and GPT-5.6 Luna. 
GPT-5.6 Terra is the balanced model for everyday production work, delivering GPT-5.5-level performance at lower cost. GPT-5.6 Luna is the fast, affordable model for high-volume inference tasks where latency and cost per token matter most. GPT-5.6 Sol pricing remains unchanged. Pricing on Amazon Bedrock matches OpenAI first-party rates, and usage counts toward your existing AWS commitments. 
GPT-5.6 Sol is available in US East (N. Virginia) and US East (Ohio). GPT-5.6 Terra and Luna are available in US East (N. Virginia), US East (Ohio), and US West (Oregon). For more details on the update, see the OpenAI blog. For the latest pricing information for GPT-5.6 models on Amazon Bedrock, please visit the Amazon Bedrock pricing page.
Quelle: aws.amazon.com