Cloud Computing Köln

AWS Partner Central agents now accelerate co-selling on every deal

Starting today, AWS Partner Central agents qualify every co-sell opportunity in real time and make recommendations that drive AWS engagement and accelerate deal progression. Building on the AWS Partner Central agents released on March 16, 2026, the agent can act on the partner’s behalf through conversation to enrich the opportunity details. This eliminates waiting for manual review, so partners build a stronger pipeline and progress deals faster. Now, each opportunity is matched to a co-sell motion that determines AWS engagement: AWS field-engaged, where an AWS sales team collaborates directly; Agent-engaged, where the agent strengthens the submission to increase AWS engagement; and Partner-led, where the partner drives the deal with agent support. Across all motions, the agent provides customer insights, recommendations, and sales plays, and each opportunity receives an Opportunity Quality Score that measures co-sell readiness and directly influences how AWS engages. The agent recommends how to improve this score, and as the opportunity improves, the score and motion recalculate in real time, moving it closer to AWS engagement. The new enhanced experience is available today to AWS Partners in all commercial AWS Regions. To get started, log in to AWS Partner Central and access opportunity management. Partners can also use the agentic experience in native AI tools like Amazon Quick and Kiro, or through MCP in their own CRM. See the Partner Central agents MCP server guide to get started.
Quelle: aws.amazon.com

AWS announces AWS Blocks, an open-source framework for composing application backends on AWS (Preview)

Today, AWS announces the public preview of AWS Blocks, an open-source TypeScript framework for application developers who want backend capabilities on AWS removing the need to learn infrastructure tools. AWS Blocks runs a fully functional local environment with Postgres, authentication, and real-time messaging, no AWS account required. When ready to deploy, the same application code runs on production AWS services with zero changes, and developers can drop into AWS CDK at any point for direct resource configuration.
A developer building a SaaS application can add database tables, user authentication, AI agents, file uploads, and background jobs in a single session, test the full stack locally, and deploy to AWS when ready. Built-in guidance for AI coding tools enables correct architecture without custom configuration, and end-to-end type safety flows from the data schema to the frontend without a code generation step. At preview, supported frontend frameworks include SPAs (e.g. Vite + React) and SSR frameworks such as Next.js, Nuxt, and Astro. AWS Blocks is available at no additional charge. You pay only for the AWS services your application uses.
AWS Blocks deploys to all commercial AWS regions.
To get started, run npx @aws-blocks/create-blocks-app. Read more here:

AWS Blocks product page
Getting started guide in the AWS Blocks Developer Guide
AWS Blocks on GitHub

Quelle: aws.amazon.com

Amazon Redshift RG instances powered by AWS Graviton now available in additional regions

Amazon Redshift is expanding the general availability of RG instances — powered by AWS Graviton processors — to three additional AWS Regions: Africa (Cape Town), Asia Pacific (Bangkok), and Mexico (Central). Amazon Redshift’s new Graviton-based RG instances deliver up to 4.2X better price-performance for data warehouse workloads compared to other data warehouses, run workloads up to 2.4x faster than previous-generation RA3 instances, and cost 30% less per vCPU. Customers in Cape Town (af-south-1), Bangkok (ap-southeast-7), and Mexico Central (mx-central-1) can provision rg.xlarge and rg.4xlarge node types — ideal for a wide range of workloads from smaller development environments to production data warehouse deployments. Customers can upgrade their existing RA3 provisioned instances to RG instances and immediately benefit from improved query performance and reduced compute costs. RG instances come with additional cost savings built in by default. With Amazon Redshift incremental manual snapshots, customers now pay less for backup storage as snapshot costs are metered based on unique data blocks rather than total snapshot size. Additionally, RG instances eliminate Redshift Spectrum scanning charges, meaning customers no longer pay for data scanned in Amazon S3 via Spectrum — further reducing the total cost of running data lake queries. To get started, visit the Amazon Redshift documentation and the RG instances pricing page.
Quelle: aws.amazon.com

AWS Sign-in now supports resource-based policies and resource control policies

AWS Sign-in now supports resource-based policies and resource control policies (RCPs) for the AWS Management Console. You can use these policies to restrict console sign-in to expected networks. Policies are evaluated during sign-in and whenever the console session requests new credentials.
Resource-based policies apply to individual AWS accounts. Resource control policies apply organization-wide through AWS Organizations. You can combine these policies with AWS Management Console Private Access to control both which networks users can sign in from and which accounts they can access.
AWS Sign-in resource-based policies and RCPs are available at no additional cost in all AWS commercial Regions. To learn more, see the AWS Sign-in User Guide. For API details, see the AWS Sign-in API Reference.
Quelle: aws.amazon.com

Amazon CloudWatch introduces Log Analytics for unified log analysis

Amazon CloudWatch now offers Log Analytics, a unified console experience that brings together CloudWatch Logs Insights for querying and analyzing log data, Live Tail for real-time log streaming, and Contributor Insights for identifying top contributors – all in one place. With this launch, customers can execute multiple queries in different tabs and use all existing Logs Insights features such as patterns, saved queries with parameters, facets for interactive log exploration, natural language query generation, and visualizations. Live Tail and Contributor Insights are also accessible from within Log Analytics, which is the default experience. Customers who opt out will see Logs Insights, Live Tail, and Contributor Insights alongside Log Analytics. Log Analytics is available in all commercial AWS Regions. Log Analytics uses the same pricing as its underlying capabilities – Logs Insights queries, Live Tail, and Contributor Insights. For pricing details, see CloudWatch pricing. To get started, select Log Analytics in the CloudWatch console. Learn more in the CloudWatch Logs documentation.
Quelle: aws.amazon.com