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Run interactive workloads on Amazon EMR on EC2 with Spark Connect

Amazon EMR on EC2 now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and Visual Studio Code, with each session running on dedicated EMR on EC2 clusters. You can also monitor and debug active and completed sessions in the EMR console.
 
An interactive session provides a persistent Spark context that spans across cells and scripts, letting you blend local Python code execution with remote Spark operations. Spark Connect’s client-server architecture decouples your application client from the Spark driver and allows you to maintain your preferred development environment and tooling while Spark infrastructure runs on the cluster. This architecture supports workflows including ad hoc data exploration, iterative step-by-step debugging, and incremental PySpark job development before deploying to production. For observability, you get real-time session monitoring via the Spark UI, history tracking through the Spark History Server, and session management from the EMR console or API/CLI/SDK.
 
Interactive Sessions is available on Amazon EMR on EC2 with AWS runtime for Apache Spark (emr-spark-8.0) and later, in all AWS Regions where Amazon EMR is available, except the AWS GovCloud Regions and the China Regions. The Amazon SageMaker Unified Studio experience is available in supported regions. To get started, visit the Interactive sessions with Spark Connect guide or the Amazon SageMaker Unified Studio Getting Started guide.
Quelle: aws.amazon.com

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Amazon Bedrock launches Web Search for OpenAI GPT models

Today, we are announcing the general availability of Web Search on Amazon Bedrock, a built-in server side tool that performs web search entirely within AWS, enabling OpenAI models (GPT-5.4, GPT-5.5, and GPT-5.6 Sol/Terra/Luna) to ground responses with current web knowledge while maintaining data residency within your secured AWS environment with zero data egress. Previously, adding web grounding required onboarding a third-party search provider, managing separate API keys and billing, building custom orchestration, and conducting additional compliance reviews for each external vendor. Web Search removes this heavy lifting by enable grounding with a single parameter in an existing API call, with no vendor onboarding, no external APIs to orchestrate, and no additional vendor security reviews to conduct. Web Search is built by Amazon, informed by years of experience across Alexa+, Amazon Quick and Kiro. It combines a web index operated by Amazon, spanning tens of billions of documents refreshed continually, with a built-in knowledge graph that provides verified facts. Rather than returning raw pages, Web Search performs semantic snippet extraction, delivering context-efficient results optimized for the model’s context window with low latency. Web Search integrates through a standardized tool-use interface, compatible with the OpenAI Responses API. Simply add the web search tool to your API call, and Bedrock handles the entire search lifecycle server-side; a single API call returns a grounded response with citations. Web Search on Amazon Bedrock is generally available today in US East (N. Virginia), US East (Ohio), and US West (Oregon). To get started, read our blog post Introducing Web Search on Amazon Bedrock for foundation model grounding, review the Web Search section in the Amazon Bedrock User Guide for technical documentation, and visit the Amazon Bedrock pricing page for cost details.
Quelle: aws.amazon.com

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Amazon Connect Customer now lets you export cases to CSV from the agent workspace

Amazon Connect Customer now supports exporting cases to a CSV file directly from the agent workspace, making it easier to share case data with internal teams and external stakeholders such as vendors, legal teams, or business partners. Agents can filter and select cases and choose which case fields to include in the export. Admins can control access using a security profile permission. Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Cases webpage and documentation.
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[Preview Announcement] Re-introducing Forward Proxy as AWS Network Firewall Functionality

You can now use your Network Firewall with all its existing filtering capabilities and features as an explicit forward proxy. On Nov 25, 2025, AWS introduced Network Firewall proxy in public preview to help customers exert centralized security controls against data exfiltration and malware injection. At the time, the Network Firewall proxy was introduced as a standalone product, separate from Network Firewall transparent firewall and used its own separate proxy security policy. Customers who tested it in preview shared that they want the Network Firewall proxy to maintain parity with Network Firewall’s existing set of capabilities and use the same security policy across the two functionalities. In keeping with customer feedback, we are reintroducing explicit proxy as a functionality of Network Firewall. With this launch, you can configure Network Firewall with your existing Firewall policy in a new no-source-preservation deployment where it can be used as an explicit proxy with all its existing features including managed rule groups, active threat defense, Geo-IP filtering, URL and domain category filtering, container attribute-based rules for Amazon EKS and Amazon ECS, etc. You can create a single security policy and use it for both explicit proxy and transparent firewall functionalities. Try out AWS Network Firewall in no-source-preservation deployment with proxy functionality in your test environment today in US East (Ohio) region. no-source-preservation Network Firewall is available for free during public preview. For more information, check no-source-preservation Network Firewall documentation.
Quelle: aws.amazon.com