Cloud Computing Köln

Amazon Redshift RG instances now available in Europe (Zurich) Region

Amazon Redshift RG instances, powered by AWS Graviton processors, are now available in the AWS Europe (Zurich) Region. RG instances deliver better performance, running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 instances, at 30% lower price per vCPU. RG instances include Redshift’s custom-built vectorized data lake query engine that processes Apache Iceberg and Parquet data on your cluster nodes, enabling you to run SQL analytics across your data warehouse and data lake using a single engine.
RG instances are available in four instance sizes, rg.large, rg.xlarge, rg.4xlarge and rg.12xlarge. Customers with existing RA3 clusters can upgrade them to RG using Snapshot & Restore, Elastic Resize, or Classic Resize. RG instances are available with flexible pricing options, including On-Demand, and 1-year and 3-year Reserved Instances with All Upfront, Partial Upfront, and No Upfront payment options. For pricing details, visit the Amazon Redshift pricing page. To get started, refer to the following resources:

Amazon Redshift RG Instance Documentation
RA3 to RG Upgrade Guide
Amazon Redshift pricing page

Quelle: aws.amazon.com

Amazon OpenSearch Serverless is now available on v0 by Vercel

You can now build full-stack search and AI applications in minutes using Amazon OpenSearch Serverless on v0 by Vercel, an AI-powered platform that transforms your ideas into production-ready web applications. OpenSearch Serverless eliminates infrastructure management and automatically scales capacity up and down based on demand, so you can focus on building and not managing clusters. With this launch, you can use natural language prompts to build applications powered by OpenSearch Serverless for full-text search and vector search for retrieval-augmented generation (RAG) workloads, all without leaving the v0 interface.
To get started, simply describe what you want to build using a natural language prompt in v0 or visit OpenSearch Serverless in v0 to begin with Amazon OpenSearch Serverless pre-selected. v0 generates a complete full-stack application, automatically provisions an Amazon OpenSearch Serverless collection, indexes your data into the collection, and uses the Amazon OpenSearch Serverless endpoint for serving search queries. v0 handles the required environment variables and configuration, and loads provider-specific agent skills to generate code that follows recommended patterns. You can either prompt v0 to provision Amazon OpenSearch Serverless resources under a new AWS account or link to an existing AWS account.
You can create Vercel apps with Amazon OpenSearch Serverless in v0 in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Canada (Central), South America (São Paulo), Europe (Ireland), Europe (London), Europe (Paris), Europe (Frankfurt), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Asia Pacific (Osaka). To learn more, check out the Vercel announcement or visit the documentation for Amazon OpenSearch Serverless.
Quelle: aws.amazon.com

Announcing second-generation single-rack AWS Outposts

Today, AWS announces the general availability of second-generation single-rack AWS Outposts, a self-contained 42U rack that integrates compute, storage and networking into a single compact unit purpose-built for workloads requiring low latency, local data processing, and data residency in space and power constrained locations. A single-rack Outposts delivers up to 2,688 vCPU and 100 TB of Amazon Elastic Block Store (Amazon EBS) storage. Moreover, like multi-rack Outposts, single-rack Outposts support the latest x86-powered EC2 instances, including general purpose (M7i, M8i), compute-optimized (C7i, C8i), memory-optimized (R7i, R8i), and Outposts accelerated networking (Bmn-sf2e, Bmn-cx2, Bmn-cx3a) instances.
For organizations that operate in locations with limited rack space, such as manufacturing, gaming, and other industries, single-rack Outposts brings the latest AWS compute, storage, and networking features on-premises, and gives customers a direct path to modernize while leveraging their currently available space and power. Single-rack and multi-rack Outposts offer customers a consistent experience with the same AWS APIs, management console, automation, governance policies, and security controls across AWS Regions and on-premises locations.
For a current list of AWS Regions and countries/territories where Outposts racks are supported, check out the Outposts rack FAQs page. To get started, open the AWS Outposts console.
Quelle: aws.amazon.com

Amazon MQ now supports RabbitMQ 4.3

Amazon MQ now supports RabbitMQ version 4.3 which adds quorum queue feature enhancements such as compaction, increased priority levels, native delayed retries, and graceful consumer timeouts. RabbitMQ 4.3 also includes various bug fixes and performance improvements for memory management.
Quorum queues on RabbitMQ 4.3 performs compaction to reduce disk usage for queues and native support for 32 strict priority levels, compared to the relative 2 levels supported in previous RabbitMQ versions. Quorum queues can now automatically set failed messages aside and retry delivery after a set cooldown delay. Consumer timeouts have moved from global protocol channels to quorum queues and can be configured specific to the protocol now. Both consumer timeouts and delayed retries can be configured and managed by RabbitMQ Policies. Transient non-exclusive queues, Global QoS, and Classic queues v1 storage are no longer supported on RabbitMQ 4.3. Consumer timeouts also do not apply to classic queues.
To start using RabbitMQ 4.3 on Amazon MQ, simply select RabbitMQ 4.3 when creating a new broker using the m7g instance type through the AWS Management console, AWS CLI, or AWS SDKs. Amazon MQ automatically manages patch version upgrades for your RabbitMQ 4.3 brokers, so you need to only specify the major.minor version. To learn more about the changes in RabbitMQ 4.3, see the Amazon MQ release notes and the Amazon MQ developer guide. This version is available in all regions where Amazon MQ m7g type instances are available today. 
Quelle: aws.amazon.com

AWS Lambda durable functions integrates with Pydantic AI

Today, AWS Lambda durable functions announces an integration with Pydantic AI, an open source framework for building AI agents in Python. AWS Lambda durable functions saves your Pydantic AI agent’s progress as it runs, so after an interruption like a timeout, your agent resumes from the last completed step instead of starting over. Your agent gains fault tolerance without you having to write the checkpoint and retry logic yourself.
With this integration, each model and tool call your agent makes is a durable execution step, so an interrupted run does not repeat calls that already completed. This matters when the work is expensive to repeat, such as a chain of model calls that reviews a set of documents or researches a topic across many sources, where starting over means paying again for tokens to do the same work. It also helps to avoid unwanted side-effects when resuming execution, such as billing a customer twice. Because your agent runs on AWS Lambda, you manage no servers and pay only for the compute it uses.
You can use this integration in any Python AWS Lambda durable function. It is available in all AWS Regions where AWS Lambda durable functions is available. To get started, install Pydantic AI and follow its AWS Lambda durability page. You can also find the integration details in the durable execution SDK reference. For more information about AWS Lambda durable functions, see the developer guide and the AWS Lambda product page.
Quelle: aws.amazon.com