AWS Blogs 04月01日 00:20
AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025)
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AWS近期发布了一系列重要更新,包括全球峰会活动的启动,以及多项新功能的发布和现有服务的扩展。重点介绍了AWS WAF与Amplify Hosting的集成,Amazon Bedrock的自定义模型导入的实时成本透明度,Amazon Bedrock Knowledge Bases对OpenSearch托管集群的支持,Amazon Bedrock Guardrails的图像内容过滤器,以及Amazon Q在QuickSight中的场景功能。此外,Amazon DataZone和新一代Amazon SageMaker也在更多区域开放。

📢 AWS WAF与AWS Amplify Hosting集成:通过一键集成,用户可以将AWS WAF直接附加到其Amplify应用程序,从而获得全面的AWS WAF功能,包括针对常见Web漏洞(如SQL注入和跨站点脚本攻击)的托管规则。用户还可以创建自定义规则、实施基于速率的规则以防御DDoS攻击,并配置地理位置阻止以限制来自特定国家的访问。

💡 Amazon Bedrock自定义模型导入的实时成本透明度:使用Amazon Bedrock自定义模型导入的用户,现在可以实时访问计算资源的使用情况,并计算推理成本。在模型调用之前,用户可以通过Amazon Bedrock控制台和API查看所需的最小计算资源(自定义模型单元或CMU)。Amazon CloudWatch指标提供实时可见性,帮助用户更好地控制成本。

📚 Amazon Bedrock Knowledge Bases支持OpenSearch托管集群:Amazon Bedrock Knowledge Bases现在支持Amazon OpenSearch托管集群作为向量数据库,用于检索增强生成(RAG),从而更安全地将FM连接到公司数据源,提供更相关和准确的响应。此集成扩展了支持的向量数据库列表,包括Amazon OpenSearch Serverless、Amazon Aurora、Amazon Neptune Analytics、Pinecone、MongoDB Atlas和Redis。

🛡️ Amazon Bedrock Guardrails推出行业领先的图像内容过滤器:该功能提供行业领先的文本和图像内容保护,帮助用户阻止多达88%的有害多模态内容,而无需构建自定义保护或依赖容易出错的手动内容审核。图像内容过滤器可以应用于内容过滤策略中的所有类别,包括仇恨、侮辱、色情、暴力、不当行为和提示攻击。

📊 Amazon Q在QuickSight中推出场景功能:该功能通过自然语言交互引导用户进行数据分析,揭示隐藏的趋势,为业务提供建议,并智能地建议更深入探索的下一步。用户可以探索过去的趋势,预测未来的场景,并建模解决方案,而无需专业技能、分析师支持或手动操作电子表格中的数据。该功能可以从任何Amazon QuickSight仪表板访问。

<section class="blog-post-content lb-rtxt"><table id="amazon-polly-audio-table"><tbody><tr><td id="amazon-polly-audio-tab"><p></p></td></tr></tbody></table><p>It’s AWS Summit season! Free events are now rolling out worldwide, bringing our cloud computing community together to connect, collaborate, and learn. Whether you prefer joining us online or in-person, these gatherings offer valuable opportunities to expand your AWS knowledge. I’ll be attending the <a href="https://aws.amazon.com/events/summits/amsterdam/&quot;&gt;AWS Amsterdam Summit</a> and would love to meet you—if you’re planning to be there, please stop by to say hello! Visit the <a href="https://aws.amazon.com/events/summits/?awsf.location=*all&quot;&gt;AWS Summit website</a> today to find events in your area, sign up for registration alerts, and reserve your spot at an AWS Summit near you.</p><p>Speaking of AWS news, let’s look at last week’s new announcements.</p><p><strong>Last week’s launches</strong><br />Here are the launches that got my attention.</p><p><strong><a href="https://aws.amazon.com/blogs/aws/firewall-support-for-aws-amplify-hosted-sites/&quot;&gt;AWS WAF integration with AWS Amplify Hosting now generally available</a></strong> – You can now directly attach <a href="https://aws.amazon.com/waf&quot;&gt;AWS WAF</a> to your <a href="https://aws.amazon.com/amplify/&quot;&gt;AWS Amplify</a> applications through a one-click integration in the Amplify console or using infrastructure as code (IaC). This integration provides access to the full range of AWS WAF capabilities, including managed rules that protect against common web exploits like SQL injection and cross-site scripting (XSS). You can also create custom rules based on your application needs, implement rate-based rules to protect against distributed denial of service (DDoS) attacks by limiting request rates from IP addresses, and configure geo-blocking to restrict access from specific countries. Firewall support is available in all <a href="https://docs.aws.amazon.com/glossary/latest/reference/glos-chap.html#region&quot;&gt;AWS Regions</a> in which Amplify Hosting operates.</p><p><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-bedrock-custom-model-import-real-time-cost-transparency/&quot;&gt;&lt;strong&gt;Amazon Bedrock Custom Model Import introduces real-time cost transparency</strong></a> – If you’re using <a href="https://aws.amazon.com/bedrock/custom-model-import/&quot;&gt;Amazon Bedrock Custom Model Import</a> to run your customized <a href="https://aws.amazon.com/what-is/foundation-models/&quot;&gt;foundation models (FMs)</a>, you can now access full transparency into compute resources and calculate inference costs in real time. Before model invocation, you can view the minimum compute resources (custom model units or CMUs) required through both the <a href="https://aws.amazon.com/bedrock/&quot;&gt;Amazon Bedrock</a> console and Amazon Bedrock APIs. As models scale to handle increased traffic, <a href="https://aws.amazon.com/cloudwatch/&quot;&gt;Amazon CloudWatch</a> metrics provide real-time visibility into total CMUs used, enabling better cost control through near-instant visibility. This helps you make on-the-fly model configuration changes to optimize costs. The feature is available in all Regions where Amazon Bedrock Custom Model Import is supported, with additional details available in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/import-model-calculate-cost.html&quot;&gt;Calculate the cost of running a custom model</a> in the Amazon Bedrock User Guide.</p><p><strong><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-bedrock-knowledge-bases-opensearch-cluster-vector-storage/&quot;&gt;Amazon Bedrock Knowledge Bases now supports Amazon OpenSearch Managed Cluster for vector storage</a></strong> – <a href="https://aws.amazon.com/bedrock/knowledge-bases/&quot;&gt;Amazon Bedrock Knowledge Bases</a> securely connects FMs to company data sources for <a href="https://aws.amazon.com/what-is/retrieval-augmented-generation/&quot;&gt;Retrieval Augmented Generation (RAG)</a>, delivering more relevant and accurate responses. With this launch, you can use <a href="https://aws.amazon.com/opensearch-service/features/managed/&quot;&gt;Amazon OpenSearch Managed Cluster</a> as a vector database while using the full suite of Amazon Bedrock Knowledge Bases features. This integration expands the list of supported vector databases, which already includes <a href="https://aws.amazon.com/opensearch-service/features/serverless/&quot;&gt;Amazon OpenSearch Serverless</a>, <a href="https://aws.amazon.com/aurora/&quot;&gt;Amazon Aurora</a>, <a href="https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html&quot;&gt;Amazon Neptune Analytics</a>, Pinecone, MongoDB Atlas, and Redis. The native integration with vector databases helps mitigate the need to build custom data source integrations. This feature is now generally available in all existing Amazon Bedrock Knowledge Bases and OpenSearch Service Regions.</p><p><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-bedrock-guardrails-general-availability-image-content-filters/&quot;&gt;&lt;strong&gt;Amazon Bedrock Guardrails announces the general availability of industry-leading image content filters</strong></a> – This new capability offers industry-leading text and image content safeguards that help you block up to 88% of harmful multimodal content without building custom safeguards or relying on error-prone manual content moderation. Image content filters can be applied across all categories within the content filter policy including hate, insults, sexual, violence, misconduct, and prompt attacks. <a href="https://aws.amazon.com/bedrock/guardrails&quot;&gt;Amazon Bedrock Guardrails</a> provides configurable safeguards to detect and block harmful content and prompt attacks, define topics to deny and disallow specific topics, redact personally identifiable information (PII) such as personal data, and block specific words. It also provides contextual grounding checks to detect and block model hallucinations and to identify the relevance of model responses and claims, and to identify, correct, and explain factual claims in model responses using Automated Reasoning checks. This capability is generally available in the US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Tokyo) Regions. To learn more, visit <a href="https://aws.amazon.com/blogs/machine-learning/amazon-bedrock-guardrails-image-content-filters-provide-industry-leading-safeguards-helping-customer-block-up-to-88-of-harmful-multimodal-content-generally-available-today/&quot;&gt;Amazon Bedrock Guardrails image content filters provide industry-leading safeguards</a> in the AWS Machine Learning Blog and <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html&quot;&gt;Stop harmful content in models using Amazon Bedrock Guardrails</a> in the Amazon Bedrock User Guide.</p><p><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/scenarios-capability-generally-available-amazon-q-quicksight/&quot;&gt;&lt;strong&gt;Scenarios capability now generally available for Amazon Q in QuickSight</strong></a> – This capability guides you through data analysis by uncovering hidden trends, making recommendations for your business, and intelligently suggesting next steps for deeper exploration using natural language interactions. Now you can explore past trends, forecast future scenarios, and model solutions without needing specialized skill, analyst support, or manual manipulation of data in spreadsheets. With its intuitive interface and step-by-step guidance, the scenarios capability of Amazon Q in QuickSight helps you perform complex data analysis up to 10x faster than spreadsheets. Whether you’re optimizing marketing budgets, streamlining supply chains, or analyzing investments, Amazon Q makes advanced data analysis accessible so you can make data-driven decisions across your organization. This capability is accessible from any Amazon QuickSight dashboard, so you can move seamlessly from visualizing data to asking what-if questions and comparing alternatives. Previous analyses can be easily modified, extended, and reused, helping you quickly adapt to changing business needs.</p><a href="https://aws.amazon.com/new/&quot;&gt;For a full list of AWS announcements, be sure to keep an eye on the What's New at AWS page.</a><p>We launched existing services and instance types in additional Regions:</p><ul><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-datazone-2-additional-commercial-regions/&quot;&gt;&lt;strong&gt;Amazon DataZone is now available in Asia Pacific (Mumbai) and Europe (Paris) AWS Regions</strong></a> – <a href="https://aws.amazon.com/datazone/&quot;&gt;Amazon DataZone</a> is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization.</li><li><strong><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/next-generation-amazon-sagemaker-two-additional-regions/&quot;&gt;The next generation of Amazon SageMaker is now available in Asia Pacific (Mumbai) and Europe (Paris) AWS Regions</a></strong> – <a href="https://aws.amazon.com/sagemaker/&quot;&gt;Amazon SageMaker</a> is the center for all your data, analytics, and AI. SageMaker Unified Studio provides a single development environment that consolidates AWS analytics and AI/ML tools.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-redshift-query-editor-v2-aws-mexico-central-asia-pacific-thailand-regions/&quot;&gt;&lt;strong&gt;Amazon Redshift Query Editor V2 is now available in Mexico (Central) and Asia Pacific (Thailand) AWS Regions</strong></a> – <a href="https://aws.amazon.com/redshift/query-editor-v2/&quot;&gt;Amazon Redshift Query Editor V2</a> makes data in your <a href="https://aws.amazon.com/redshift/&quot;&gt;Amazon Redshift</a> data warehouse and data lake more accessible with a web-based tool for SQL users such as data analysts, data scientists, and database developers.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-keyspaces-multi-region-replication-aws-regions/&quot;&gt;&lt;strong&gt;Amazon Keyspaces expands Multi-Region Replication to support all AWS Regions</strong></a> – <a href="https://aws.amazon.com/keyspaces/&quot;&gt;Amazon Keyspaces (for Apache Cassandra)</a> is a scalable, highly available, managed Cassandra-compatible database service that helps you run your Cassandra workloads on AWS using existing application code and developer tools.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/aws-network-firewall-thailand-mexico-central-regions/&quot;&gt;&lt;strong&gt;AWS Network Firewall is now available in the Asia Pacific (Thailand) and Mexico (Central) AWS Regions</strong></a> – <a href="https://aws.amazon.com/network-firewall/&quot;&gt;AWS Network Firewall</a> is a managed firewall service that automatically scales with traffic, requires no infrastructure maintenance, and integrates with <a href="https://aws.amazon.com/firewall-manager/&quot;&gt;AWS Firewall Manager</a> for centralized policy control across AWS accounts.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-cloudwatch-rum-2-additional-aws-regions/&quot;&gt;&lt;strong&gt;Amazon CloudWatch RUM is now generally available in Israel (Tel Aviv) and Asia Pacific (Hong Kong) AWS Regions</strong></a> – <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch-RUM.html&quot;&gt;CloudWatch RUM</a> monitors web applications by collecting real-time client-side performance data and providing dashboards that show end-user experience metrics, including page load anomalies, core web vitals, and errors across different geolocations, browsers, and devices.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-vpc-ip-address-manager-two-additional-regions/&quot;&gt;&lt;strong&gt;Amazon VPC IP Address Manager is now available in Asia Pacific (Thailand) and Mexico (Central) AWS Regions</strong></a> – <a href="https://aws.amazon.com/vpc/&quot;&gt;Amazon Virtual Private Cloud (Amazon VPC)</a> <a href="https://docs.aws.amazon.com/vpc/latest/ipam/what-it-is-ipam.html&quot;&gt;IP Address Manager (Amazon VPC IPAM)</a> makes it easier to plan, track, and monitor IP addresses for AWS workloads, helping you organize addresses based on routing and security needs and set simple business rules to govern IP address assignments.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-q-business-asia-pacific-sydney-region/&quot;&gt;&lt;strong&gt;Amazon Q Business now available in Asia Pacific (Sydney) AWS Region</strong></a> – <a href="https://aws.amazon.com/q/business/&quot;&gt;Amazon Q Business</a> is the most capable generative AI–powered assistant for finding information, gaining insight, and taking action at work. It can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-ec2-p5en-instances-n-virginia-jakarta/&quot;&gt;&lt;strong&gt;Amazon EC2 P5en instances are now available in US East (N. Virginia) and Asia Pacific (Jakarta) AWS Regions</strong></a> – P5en instances feature 8 H200 GPUs with 1.7x memory size, paired with 4th Gen Intel Xeon processors and Gen5 PCIe for 4x CPU-GPU bandwidth. This helps improve collective communications performance for distributed training workloads such as deep learning, generative AI, real-time data processing, and high performance computing (HPC) applications.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-ec2-r8g-instances-us-west-n-california/&quot;&gt;&lt;strong&gt;Amazon EC2 R8g instances now available in US West (N. California) AWS Region</strong></a> – These instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5 TB) than AWS Graviton3 based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to Graviton3 based R7g instances.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-ec2-c8g-asia-pacific-tokyo/&quot;&gt;&lt;strong&gt;Amazon EC2 C8g instances now available in Asia Pacific (Tokyo) AWS Region</strong></a> – These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3 based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors.</li><li><strong>Amazon SageMaker AI is now available in <a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-sagemaker-ai-mexico-central/&quot;&gt;Mexico (Central)</a> and <a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-sagemaker-ai-asia-pacific-thailand/&quot;&gt;Asia Pacific (Thailand)</a> AWS Regions</strong> – <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html&quot;&gt;Amazon SageMaker AI</a> is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/03/amazon-elasticache-aws-privatelink-asia-pacific-jakarta-asia-pacific-hyderabad-regions/&quot;&gt;&lt;strong&gt;Amazon ElastiCache now supports AWS PrivateLink in Asia Pacific (Jakarta) and Asia Pacific (Hyderabad) AWS Regions</strong></a> – <a href="https://aws.amazon.com/privatelink/&quot;&gt;AWS PrivateLink</a> provides private connectivity between VPCs, AWS services, and on-premises networks without exposing traffic to the public internet and securing your network traffic. To use AWS PrivateLink with <a href="https://aws.amazon.com/elasticache/&quot;&gt;Amazon ElastiCache</a>, you create an <a href="https://docs.aws.amazon.com/vpc/latest/userguide/vpce-interface.html&quot;&gt;interface VPC endpoint</a> for Amazon ElastiCache in your VPC using the <a href="https://console.aws.amazon.com/vpc/&quot;&gt;Amazon VPC console</a>, <a href="https://aws.amazon.com/developer/tools/&quot;&gt;AWS SDK</a>, or <a href="https://aws.amazon.com/cli/&quot;&gt;AWS Command Line Interface (AWS CLI)</a>.</li></ul><p><strong>Other AWS events</strong><br />Check your calendar and sign up for upcoming AWS events.</p><p><a href="https://aws.amazon.com/startups/lp/aws-gen-ai-lofts&quot;&gt;AWS GenAI Lofts</a> are collaborative spaces and immersive experiences that showcase AWS expertise in cloud computing and AI. They provide startups and developers with hands-on access to AI products and services, exclusive sessions with industry leaders, and valuable networking opportunities with investors and peers. <a href="https://aws.amazon.com/startups/lp/aws-gen-ai-lofts#locations&quot;&gt;Find a GenAI Loft location near you</a> and don’t forget to register.</p><p>Browse all upcoming <a href="https://aws.amazon.com/events/explore-aws-events/&quot;&gt;AWS led in-person and virtual events here</a>.</p><p>That’s all for this week. Check back next Monday for another Weekly Roundup!</p><a href="https://www.linkedin.com/in/esrakayabali/&quot;&gt;— Esra</a><p><em>This post is part of our <a href="https://aws.amazon.com/blogs/aws/tag/week-in-review/&quot;&gt;Weekly Roundup</a> series. Check back each week for a quick roundup of interesting news and announcements from AWS!</em></p><hr /><p>How is the News Blog doing? 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AWS will own the data gathered via this survey and will not share the information collected with survey respondents.)</em></p></section><aside id="Comments" class="blog-comments"><div data-lb-comp="aws-blog:cosmic-comments" data-env="prod" data-content-id="1d27c231-53dd-4d84-baba-da7544a7ac76" data-title="AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025)" data-url="https://aws.amazon.com/blogs/aws/aws-weekly-roundup-amazon-bedrock-amazon-quicksight-aws-amplify-and-more-march-31-2025/&quot;&gt;&lt;p data-failed-message="Comments cannot be loaded… Please refresh and try again.">Loading comments…</p></div></aside>

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