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Azure 体系结构

适用于 Azure 上的常见工作负荷的体系结构图、参考体系结构、示例方案和解决方案。

AI + 机器学习 | 分析 | 区块链 | 计算 | 容器 | 数据库 | DevOps | 开发人员工具 | 混合 | 标识 | 集成 | 物联网 | 管理 | 媒体 | 迁移 | 混合现实 | 移动 | 网络 | 安全性 | 存储 | Web

AI + 机器学习

  • 边缘 AI 和 Azure Stack - 已断开连接AI at the Edge with Azure Stack - disconnected

    借助包含 Azure Stack 的解决方案体系结构将 AI 模型移到边缘。Move AI models to the edge with a solution architecture that includes Azure Stack. 可以借助分步工作流,在断开与 Internet 的连接时利用边缘 AI 的强大功能。A step-by-step workflow will help you harness the power of edge AI when disconnected from the internet.

  • 审核、风险与合规性管理Auditing, risk, and compliance management

    开发人员可以利用知识挖掘来帮助律师在调查文档中快速识别重要实体,并标记各个文档中的重要观点Developers could use knowledge mining to help attorneys quickly identify entities of importance from discovery documents and flag important ideas across documents

  • 在 Azure 上生成实时建议 APIBuild a Real-time Recommendation API on Azure

    使用 Azure Databricks 和 Azure Data Science Virtual Machines (DSVM) 在 Azure 上训练一个模型,以便通过机器学习自动生成建议。Use machine learning to automate recommendations using Azure Databricks and Azure Data Science Virtual Machines (DSVM) to train a model on Azure.

  • 业务流程管理Business Process Management

    在竞标非常激烈的行业中,或者必须快速甚至接近实时诊断问题的情况下,公司可以利用知识挖掘来避免代价不菲的失误In industries where bidding competition is fierce, or when the diagnosis of a problem must be quick or in near real-time, companies can use knowledge mining to avoid costly mistakes

  • 商务聊天机器人Commerce Chatbot

    使用 Azure 机器人服务和语言理解服务,开发人员可以为各种方案(例如银行、旅游和娱乐)创建聊天界面。Together, the Azure Bot Service and Language Understanding service enable developers to create conversational interfaces for various scenarios like banking, travel, and entertainment. 例如,酒店的接待可以使用机器人来增强传统的电子邮件和电话交互,方式如下:通过 Azure Active Directory 来验证客户,并使用认知服务来更好地根据上下文处理文本和语音形式的客户请求。For example, a hotel's concierge can use a bot to enhance traditional e-mail and phone call interactions by validating a customer via Azure Active Directory and using Cognitive Services to better contextually process customer requests using text and voice. 可以添加语音识别服务来支持语音命令。The Speech recognition service can be added to support voice commands.

  • 商务聊天机器人Commerce Chatbot

    使用 Azure 机器人服务和语言理解服务,开发人员可以为各种方案(例如银行、旅游和娱乐)创建聊天界面。Together, the Azure Bot Service and Language Understanding service enable developers to create conversational interfaces for various scenarios like banking, travel, and entertainment. 例如,酒店的接待可以使用机器人来增强传统的电子邮件和电话交互,方式如下:通过 Azure Active Directory 来验证客户,并使用认知服务来更好地根据上下文处理文本和语音形式的客户请求。For example, a hotel's concierge can use a bot to enhance traditional e-mail and phone call interactions by validating a customer via Azure Active Directory and using Cognitive Services to better contextually process customer requests using text and voice. 可以添加语音识别服务来支持语音命令。The Speech recognition service can be added to support voice commands.

  • 内容研究Content Research

    通过使用搜索索引进行知识挖掘,客户和员工可以更快地轻松找到他们所要查找的内容。Knowledge mining with a search index makes it easy for customers and employees to locate what they are looking for faster.

  • 合同管理Contract Management

    知识挖掘可帮助组织精心分析数千个来源页面,从而创建准确的投标。Knowledge mining can help organizations to scour thousands of pages of sources to create an accurate bid.

  • 客户流失预测Customer Churn Prediction

    客户流失预测使用 Cortana Intelligence Suite 组件来预测流失概率,并帮助查找现有数据中与预测的流失率相关的模式。Customer Churn Prediction uses Cortana Intelligence Suite components to predict churn probability and helps find patterns in existing data associated with the predicted churn rate.

  • 客户反馈和分析Customer Feedback and Analytics

    知识挖掘可帮助客户支持团队针对客户的咨询快速找到合适的答案,或大规模评估客户情绪。Knowledge mining can help customer support teams quickly find the right answer for a customer inquiry or assess customer sentiment at scale.

  • 数字资产管理Digital Asset Management

    通过使用搜索索引进行知识挖掘,最终客户和员工可以更快地轻松找到他们所要查找的内容。Knowledge mining through a search index makes it easy for end customers and employees to locate what they are looking for faster.

  • 优化能源供应Energy Supply Optimization

    此解决方案利用外部开源工具提供基于 Azure 的智能解决方案,基于电网的各种能源资源确定最佳的能源单位承诺。This solution provides an Azure-based smart solution, leveraging external open-source tools, that determines the optimal energy unit commitments from various types of energy resources for an energy grid.

  • 企业效率聊天机器人Enterprise Productivity Chatbot

    可以轻松地将 Azure 机器人服务与语言理解结合起来,以构建功能强大的企业生产力机器人,使组织能够通过集成外部系统(如 Office 365 日历、存储在 Dynamics CRM 中的客户案例,等等)来简化常见工作活动。Azure Bot Service can be easily combined with Language Understanding to build powerful enterprise productivity bots, allowing organizations to streamline common work activities by integrating external systems, such as Office 365 calendar, customer cases stored in Dynamics CRM and much more.

  • 常见问题解答聊天机器人与数据冠军模型FAQ Chatbot with data champion model

    QnA Maker 工具使内容所有者可以很轻松地维护其 QnA 知识库。The QnA Maker tool makes it super easy for the content owners to maintain their knowledge base of QnAs. 在与机器人服务和 LUIS 结合使用的情况下,可以轻松地设置常见问题聊天机器人。该机器人根据查询的意图从不同知识库做出响应。Combined with Bot Service and LUIS, it's easy to setup an FAQ chatbot which responds from differnet knowledge bases depending on the intent of the query.

  • 预测能源和电力需求Forecast Energy and Power Demand

    了解如何通过 Microsoft Azure 准确预测能源产品和服务的需求高峰,为公司带来竞争优势。Learn how Microsoft Azure can help accurately forecast spikes in demand for energy products and services to give your company a competitive advantage.

  • 互动语音响应机器人Interactive Voice Response Bot

    本解决方案创建一个智能交互式语音响应 (IVR) 应用程序,该应用程序处理自行车和自行车配件的客户订单请求。This solution creates an intelligent interactive voice response (IVR) application that processes customer order requests for bicycles and bicycle accessories. 没有现有 IVR 解决方案的企业可以轻松地开始自动执行请求;如果存在现有的人工操作系统,则可扩展此解决方案以合并现有的功能和工作流。Businesses with no existing IVR solution can easily get started automating requests, or, where existing human-operated systems exist, this solution can be extended to incorporate existing functionality and workflows.

  • 关键字搜索/语音转文本/OCR 数字媒体Keyword search/speech-to-text/OCR digital media

    使用语音转文本解决方案可以识别静态视频文件中的语音,因此可以将其作为标准内容进行管理,例如,可以允许员工在训练视频中搜索口述字词或短语,使他们能够快速导航到视频中的特定时间点。A speech-to-text solution allows you to identify speech in static video files so you can manage it as standard content, such as allowing employees to search within training videos for spoken words or phrases, and then enabling them to quickly navigate to the specific moment in the video.

  • Azure 上的电影推荐Movie recommendations on Azure

    使用机器学习和 Azure Data Science Virtual Machines (DSVM) 在 Azure 上训练一个模型,以通过机器学习自动生成电影、产品和其他方面的推荐。Use machine learning to automate movie, product, and other recommendations using machine learning and an Azure Data Science Virtual Machine (DSVM) to train a model on Azure.

  • 利用机器学习优化营销Optimize Marketing with Machine Learning

    了解如何将 SQL Server 2016 与 R Services 配合使用来构建机器学习模型,以优化和管理市场营销活动。Learn how to build a machine-learning model with SQL Server 2016 with R Services to optimize and manage marketing campaigns.

  • 个性化套餐Personalized Offers

    在当今这个竞争性强且互连的环境中,现代企业要想生存,就不能再用一般的静态在线内容。In today's highly competitive and connected environment, modern businesses can no longer survive with generic, static online content. 而且,使用传统工具的市场营销策略通常成本高昂、难以实现,而且不会产生所需的投资回报。Furthermore, marketing strategies using traditional tools are often expensive, hard to implement, and do not produce the desired return on investment. 这些系统通常无法充分利用收集的数据来为用户创建更个性化的体验。These systems often fail to take full advantage of the data collected to create a more personalized experience for the user.

  • 个性化营销解决方案Personalized marketing solutions

    查找通过个性化套餐将产品推向市场的基本技术。Find essential technology to market your products with personalized offers. 根据大数据见解推行个性化市场营销,改进客户响应情况。Individualize your marketing for greater customer response using big-data insights.

  • 面向医疗保健的人口健康管理Population Health Management for Healthcare

    人口健康管理是一项重要的工具,医保提供商越来越多地使用此工具来管理和控制增加的成本。Population Health Management is an important tool that is increasingly being used by health care providers to manage and control the escalating costs. 人口健康管理的关键是使用数据来改善保健结果。The crux of Population Health Management is to use data to improve health outcomes. 跟踪、监视和基准标记是人口健康管理的三大功能,旨在改进临床和保健结果,同时管理和降低成本。Tracking, monitoring, and bench marking are the three bastions of Population Health Management, aimed at improving clinical and health outcomes while managing and reducing cost.

  • 预测住院天数和患者流量Predict Length of Stay and Patient Flow

    了解如何预测医院或医疗保健设施的容量和患者流动情况,提高护理质量和运营效率。Learn how to predict capacity and patient flow for your hospital or healthcare facility to enhance the quality of care and improve operational efficiency.

  • 车辆遥测数据的预测见解Predictive Insights with Vehicle Telematics

    了解汽车经销商、制造商和保险公司如何使用 Microsoft Azure 获取有关车辆运行状况和司机驾驶习惯的预测性见解。Learn how car dealerships, manufacturers, and insurance companies can use Microsoft Azure to gain predictive insights on vehicle health and driving habits.

  • 预测性维护Predictive Maintenance

    此预测性维护解决方案监视飞机并预测飞机引擎部件的剩余使用寿命。This Predictive Maintenance solution monitors aircraft and predicts the remaining useful life of aircraft engine components.

  • 利用机器学习进行预测性营销Predictive Marketing with Machine Learning

    了解如何使用 Microsoft R Server on Azure HDInsight Spark 群集构建用于提供操作建议的机器学习模型,以最大程度地提高购买率。Learn how to build a machine-learning model with Microsoft R Server on Azure HDInsight Spark clusters to recommend actions to maximize the purchase rate.

  • 质量保证Quality Assurance

    企业可以通过质量保证系统防止在其向客户交付货物或服务的过程中出现缺陷。Quality assurance systems allow businesses to prevent defects throughout their processes of delivering goods or services to customers. 构建这样的系统来收集数据并识别管道中的潜在问题可以为客户带来巨大的优势。Building such a system that collects data and identifies potential problems along a pipeline can provide enormous advantages. 例如,在数字制造中,针对装配线的质量保证是强制性的。For example, in digital manufacturing, quality assurance across the assembly line is imperative. 如果在故障发生之前(而不是检测到故障之后)就能确定速度下降和潜在的故障情况,则可以帮助公司降低废料和返工成本,同时提高工作效率。Identifying slowdowns and potential failures before they occur rather than after they are detected can help companies reduce costs for scrap and rework while improving productivity.

  • Python 模型的实时评分Real-time scoring of Python models

    本参考体系结构演示如何在 Azure 上将 Python 模型部署为 Web 服务,用于进行实时预测。This reference architecture shows how to deploy Python models as web services on Azure to make real-time predictions.

  • 远程患者监视解决方案Remote Patient Monitoring Solutions

    使用 Azure 的远程患者监视功能提供高级预防性医疗。Provide a high level of preventative medical care with remote patient monitoring from Azure. 在安全环境中分析大量医疗数据。Analyze large amounts of medical data in a secure environment.

  • 带视觉功能的零售助手Retail Assistant with Visual Capabilities

    零售助手或假期规划器可帮助客户与业务机器人交互,并基于视觉对象信息提供建议。The retail assistant or vacation planner can help your customers have interactions with your business bot and provide suggestions based on the visual information.

  • 语音服务Speech Services

    自定义声学模型可帮助语音服务理解背景嘈杂或电话连接欠佳的说话人的说话。A custom acoustic model helps Speech Services understand speakers even with background noise or poor phone connections.

  • 语音转文本Speech-to-text conversion

    本文介绍了推荐的语音文件上传和语音内容转文本处理的方式。This article describes the recommended way to upload audio files and process the speech content to text.

  • 在 Azure 上训练 Python 模型Training Python models on Azure

    本参考体系结构展示了优化 scikit-learn Python 模型的超参数(训练参数)的建议做法。This reference architecture shows recommended practices for tuning the hyperparameters (training parameters) of a scikit-learn Python model.

  • 视觉助手Visual Assistant

    视觉助手可以使用各种功能(例如阅读名片、标识条形码以及识别受欢迎人员、地点、对象、艺术品和名胜古迹),基于图像内容提供丰富的信息。Visual assistant provides rich information based on content of the image with capabilities such as reading business card, identifying barcode, and recognizing popular people, places, objects, artworks, and monuments.

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Analytics

  • 高级分析体系结构Advanced Analytics Architecture

    获取基于流式处理服务的近实时数据分析。Get near real-time data analytics on streaming services. 可以利用这种大数据体系结构,通过自定义机器学习将任何规模的数据组合在一起。This big data architecture allows you to combine any data at any scale with custom machine learning.

  • 异常探测器流程Anomaly Detector Process

    通过对流程进行详细介绍的分步流程图,详细了解异常检测器。Learn more about Anomaly Detector with a step-by-step flowchart that details the process. 了解如何选择时序数据的异常检测模型。See how anomaly detection models are selected with time-series data.

  • 使用事件网格的应用程序集成Application integration using Event Grid

    事件网格将应用与其他服务连接。Event Grid connects your app with other services. 例如,创建一个应用程序主题,以便将应用的事件数据发送到事件网格,并利用其可靠的传递、高级路由以及与 Azure 的直接集成。For example, create an application topic to send your app's event data to Event Grid and take advantage of its reliable delivery, advanced routing, and direct integration with Azure. 或者,可使用具有逻辑应用的事件网格来处理任何位置的数据,而无需编写代码。Alternatively, you can use Event Grid with Logic Apps to process data anywhere, without writing code.

  • 自动化企业 BIAutomated enterprise BI

    将 Azure 数据工厂与 Azure Synapse Analytics 配合使用,在 Azure 中自动完成提取、加载和转换 (ELT) 工作流。Automate an extract, load, and transform (ELT) workflow in Azure using Azure Data Factory with Azure Synapse Analytics.

  • 全面了解客户Customer 360

    不管进行什么样的零售商业智能操作,关键是深入了解客户兴趣和购买模式之间的关系。A deep understanding between customer interests and purchasing patterns is a critical component of any retail business intelligence operation. 此解决方案实现了一个将客户数据聚合为“全方位”配置文件的过程,并使用以 Azure 的可靠性和处理能力为后盾的高级机器学习模型,提供有关模拟客户的预测性见解。This solution implements a process of aggregating customer data into a "360-degree" profile, and uses advanced machine learning models backed by the reliability and processing power of Azure to provide predictive insights on simulated customers.

  • 需求预测Demand Forecasting

    准确预测产品和服务的需求高峰可为公司带来竞争优势。Accurately forecasting spikes in demand for products and services can give a company a competitive advantage. 此解决方案侧重于能源领域的需求预测。This solution focuses on demand forecasting within the energy sector.

  • 需求预测 + 价格优化Demand Forecasting + Price Optimization

    使用 Microsoft Azure 的大数据和高级分析服务来预测将来的客户需求并优化定价,最大程度地提高盈利能力。Predict future customer demand and optimize pricing to maximize profitability using big-data and advanced-analytics services from Microsoft Azure.

  • 需求预测和价格优化Demand Forecasting and Price Optimization

    在许多行业中,定价被公认为决定能否成功的关键因素,可能是最具挑战性的任务之一。Pricing is recognized as a pivotal determinant of success in many industries and can be one of the most challenging tasks. 公司通常会努力处理定价过程的几个方面,其中包括:准确预测潜在策略的财务影响、合理考虑核心业务约束,以及对执行的定价策略进行适当的验证。Companies often struggle with several aspects of the pricing process, including accurately forecasting the financial impact of potential tactics, taking reasonable consideration of core business constraints, and fairly validating the executed pricing decisions. 扩展提供的产品增加了更多进行实时定价决策所需的计算要求,提高了这一业已非常艰巨的任务的难度。Expanding product offerings add further computational requirements to make real-time pricing decisions, compounding the difficulty of this already overwhelming task.

  • 交互式价格分析Interactive Price Analytics

    定价分析解决方案使用交易历史记录数据以适当的粒度来展示产品需求如何响应你提供的价格、如何建议定价更改,并允许你模拟价格变化对需求的影响。The Pricing Analytics solution uses your transactional history data to show you how the demand for your products responds to the prices you offer, to recommend pricing changes, and allow you to simulate how changes in price would affect your demand, at a fine granularity.

  • Azure 上新闻源的大量引入和分析Mass ingestion and analysis of news feeds on Azure

    创建一个管道,以便仅使用 Azure 服务(包括 Azure Cosmos DB 和 Azure 认知服务)引入和分析文本、图像、情绪以及来自 RSS 新闻源的其他数据。Create a pipeline for ingesting and analyzing text, images, sentiment, and other data from RSS news feeds using only Azure services, including Azure Cosmos DB and Azure Cognitive Services.

  • 燃油和天然气液位预测Oil and Gas Tank Level Forecasting

    如今,大多数设施在运行时都是被动响应液位问题。Today, most facilities operate reactively to problems in tank levels. 这通常会导致泼溅、紧急关闭、昂贵的补救成本、法规问题、高昂的维修和罚款。This often leads to spills, emergency shutdowns, expensive remediation costs, regulatory issues, costly repairs and fines. 液位预测有助于管理和减少这些问题及其他问题。Tank level forecasting helps manage and abate these and other problems.

  • 预测住院时间Predicting Length of Stay in Hospitals

    此解决方案实现了一个预测模型,用于预测住院病人的住院时间。This solution enables a predictive model for Length of Stay for in-hospital admissions. 根据定义,住院时间 (LOS) 是指病人从最初的入院到出院这段时间所经历的天数。Length of Stay (LOS) is defined in number of days from the initial admit date to the date that the patient is discharged from any given hospital facility.

  • 预测性飞机引擎监视Predictive Aircraft Engine Monitoring

    Microsoft Azure 的预测性维护解决方案演示了如何将实时飞机数据与分析结合起来监视飞机运行状况。Microsoft Azure's Predictive Maintenance solution demonstrates how to combine real-time aircraft data with analytics to monitor aircraft health.

  • 大数据体系结构实时分析Real Time Analytics on Big Data Architecture

    从流数据实时获取深度学习分析结果和见解。Get deep learning analytics and insights live from streaming data. 以近实时方式查看网站点击流中的日志,以便进行高级分析处理。Review logs from website clickstream in near real-time for advanced analytics processing.

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区块链

  • 区块链工作流应用程序Blockchain Workflow Application

    了解如何使用区块链,以便通过 Microsoft Azure 中的区块链工作流应用程序来数字化跨组织的工作流和供应链。Explore how blockchain is used to digitize workflows and supply chains across organizations with the Blockchain Workflow Application from Microsoft Azure.

  • 银行间的分散式信任Decentralized trust between banks

    建立受信任的环境以进行通信和信息共享,而不必求助于集中式数据库。Establish a trusted environment for communication and information sharing without resorting to a centralized database.

  • 供应链跟踪与追踪Supply Chain Track and Trace

    了解如何使用 Azure Blockchain Workbench。Learn how to use the Azure Blockchain Workbench. 使用分步流程图为供应链生成资产跟踪应用程序。Build an asset tracking application for supply chain with a step-by-step flowchart.

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计算

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容器

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数据库

  • Azure 数据平台端到端Azure data platform end-to-end

    使用 Azure 服务从不同的源中引入、处理、存储、提供和可视化数据。Use Azure services to ingest, process, store, serve, and visualize data from different sources.

  • 使用 Azure HDInsight Spark 群集进行营销活动优化Campaign Optimization with Azure HDInsight Spark Clusters

    本解决方案演示了如何使用 Microsoft R Server on Azure HDInsight Spark 群集来生成和部署机器学习模型,以便为用户建议操作,最大程度地提高市场营销活动的潜在目标客户的购买率。This solution demonstrates how to build and deploy a machine learning model with Microsoft R Server on Azure HDInsight Spark clusters to recommend actions to maximize the purchase rate of leads targeted by a campaign. 可以通过此解决方案使用 Microsoft R Server 有效处理 Spark 上的大数据。This solution enables efficient handling of big data on Spark with Microsoft R Server.

  • 使用 SQL Server 优化活动Campaign Optimization with SQL Server

    本解决方案演示了如何将 SQL Server 2016 和 R Services 配合使用来生成和部署机器学习模型,以便为用户建议操作,最大程度地提高市场营销活动的潜在目标客户的购买率。This solution demonstrates how to build and deploy a machine learning model with SQL Server 2016 with R Services to recommend actions to maximize the purchase rate of leads targeted by a campaign.

  • 数据缓存Data cache

    数据缓存、使用 azure cache for redis 的数据缓存、azure 数据库、cosmos dbdata cache, data cache with azure cache for redis, azure database, cosmos db

  • 数字市场活动管理Digital Campaign Management

    利用丰富且个性化的数字营销体验,吸引世界各地的客户。Engage with customers around the world with rich, personalized digital marketing experiences. 快速构建和启动根据客户需求自动缩放的数字营销活动。Quickly build and launch digital campaigns that automatically scale based on customer demand.

  • 使用 Cosmos DB 的游戏Gaming using Cosmos DB

    弹性缩放数据库,使之适应不可预测的流量突增情况,并在全球范围内提供低延迟的多玩家体验。Elastically scale your database to accommodate unpredictable bursts of traffic and deliver low-latency multi-player experiences on a global scale.

  • Azure HDInsight Spark 群集的贷款冲销预测Loan ChargeOff Prediction with Azure HDInsight Spark Clusters

    使用 Azure HDInsight R Server,借贷机构可以利用机器学习预测分析来预测贷款被冲销的可能性,并基于 HDFS 和 hive 表中存储的分析结果运行一个报表。Using Azure HDInsight R Server, a lending institution can leverage machine learning predictive analytics to predict the likelihood of loans getting charged off and run a report on the analytics result stored in HDFS and hive tables.

  • 使用 SQL Server 预测贷款冲销Loan ChargeOff Prediction with SQL Server

    本解决方案演示了如何将 SQL Server 2016 和 R Services 配合使用来生成和部署机器学习模型,以便预测某项银行贷款是否需要在接下来的 3 个月中冲销This solution demonstrates how to build and deploy a machine learning model with SQL Server 2016 with R Services to predict if a Bank loan will need to be charged off within next 3 months

  • 贷款信用风险 + 违约建模Loan Credit Risk + Default Modeling

    将 SQL Server 2016 与 R Services 结合使用,贷款人可以预测借款人的信用风险和违约概率,这样可以减少无利可图贷款的发出。Using SQL Server 2016 with R Services, lenders can predict a borrower's credit risk and default probability to help issue fewer unprofitable loans.

  • 使用 SQL Server 预测贷款信用风险Loan Credit Risk with SQL Server

    将 SQL Server 2016 与 R Services 结合使用时,借贷机构可以使用预测分析减少提供给那些最有可能违约的借款人的贷款数量,提高贷款组合的盈利率。Using SQL Server 2016 with R Services, a lending institution can make use of predictive analytics to reduce number of loans they offer to those borrowers most likely to default, increasing the profitability of their loan portfolio.

  • 消息传递Messaging

    azure redis 缓存、web 套接字、web 通信框架、消息发布和订阅、azure cache for redisazure redis cache, web sockets, web communication frameworks, messaging publish and subscribe, azure cache for redis

  • 现代数据仓库体系结构Modern Data Warehouse Architecture

    浏览使用大数据的云数据仓库。Explore a cloud data warehouse that uses big data. 新式数据仓库汇集了所有数据,并可随着数据的增长而轻松扩展。Modern data warehouse brings together all your data and scales easily as your data grows.

  • 使用事件网格的运维自动化Ops automation using Event Grid

    使用事件网格,可以加快自动化,简化策略执行。Event Grid allows you to speed automation and simplify policy enforcement. 例如,事件网格可在创建虚拟机或启动 SQL 数据库时通知 Azure 自动化。For example, Event Grid can notify Azure Automation when a virtual machine is created, or a SQL Database is spun up. 这些事件可用于自动检查服务配置是否符合要求,是否将元数据放入操作工具、标记虚拟机或文件工作项中。These events can be used to automatically check that service configurations are compliant, put metadata into operations tools, tag virtual machines, or file work items.

  • 将 Oracle Database 迁移到 AzureOracle Database Migration to Azure

    Oracle DB 迁移可以通过多种方式完成。Oracle DB migrations can be accomplished in multiple ways. 此体系结构涵盖了使用 Oracle Active Data Guard 来迁移数据库的这些选项中的一个。This architecture covers one of these options wherein Oracle Active Data Guard is used to migrate the Database.

  • 使用 Cosmos DB 实现个性化Personalization using Cosmos DB

    使用低延迟和可优化的一致性设置为客户实时生成个性化的建议,以提供即时见解Generate personalized recommendations for customers in real time, using low-latency and tunable consistency settings for immediate insights

  • 使用 Azure MySQL 的零售业和电子商务Retail and e-commerce using Azure MySQL

    构建安全、可缩放且满足客户和业务需求的电子商务解决方案。Build secure and scalable e-commerce solutions that meet the demands of both customers and business. 通过自定义的产品和套餐吸引客户,快速且安全地处理事务,将重点放在履约和客户服务上。Engage customers through customized products and offers, process transactions quickly and securely, and focus on fulfillment and customer service.

  • 使用 Azure PostgreSQL 的零售业和电子商务Retail and e-commerce using Azure PostgreSQL

    构建安全、可缩放且满足客户和业务需求的电子商务解决方案。Build secure and scalable e-commerce solutions that meet the demands of both customers and business. 通过自定义的产品和套餐吸引客户,快速且安全地处理事务,将重点放在履约和客户服务上。Engage customers through customized products and offers, process transactions quickly and securely, and focus on fulfillment and customer service.

  • 在 Azure 上运行 Oracle DatabaseRunning Oracle Databases on Azure

    此解决方案体系结构说明了在 Azure 中实现 Oracle Database Enterprise Edition 的高可用性的规范体系结构。This solution architecture illustrates a canonical architecture to achieve high availability for your Oracle Database Enterprise Edition in Azure.

  • SQLServer 上的 SAP NetWeaverSAP NetWeaver on SQL Server

    NetWeaver on SQL Server 应用程序解决方案演示了如何利用 Azure 虚拟机来托管 SAP 应用程序和 SQL Server 数据库,让用户请求流经在 NetWeaver 上构建的 SAP 布局。The NetWeaver on SQL Server application solution illustrates how a user request flows through an SAP landscape built on NetWeaver by utilizing Azure Virtual Machines to host SAP applications and a SQL Server database.

  • Azure 上的 SAP 体系结构指南SAP on Azure Architecture Guide

    本指南基于 Azure 体系结构框架,但相关建议专门针对 SAP 解决方案的部署。This guide is based on the Azure Architecture Framework, but the recommendations are specific to deployments of SAP solutions.

  • 使用 HDInsight 进行流式处理Streaming using HDInsight

    使用 Apache Kafka、Apache Storm 和 Apache Spark 流式处理每秒引入并处理数百万个流式传输事件。Ingest and process millions of streaming events per second with Apache Kafka, Apache Storm, and Apache Spark Streaming.

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DevOps

  • 适用于 Azure VM 的 CI/CDCI/CD for Azure VMs

    Azure 是世界级云,用于托管运行 Windows 或 Linux 的 Azure 虚拟机。Azure is a world-class cloud for hosting virtual machines running Windows or Linux. 不管你是使用 ASP.NET、Java、Node.js 还是 PHP 来开发应用程序,都需要通过持续集成和持续部署 (CI/CD) 管道自动将更改推送到这些虚拟机。Whether you use ASP.NET, Java, Node.js, or PHP to develop applications, you'll need a continuous integration and continuous deployment (CI/CD) pipeline to push changes to these virtual machines automatically.

  • 适用于 Azure Web 应用的 CI/CDCI/CD for Azure Web Apps

    Azure Web 应用是一种快速且简单的方法,用于通过 ASP.NET、Java、Node.js 或 PHP 创建 Web 应用。Azure Web Apps is a fast and simple way to create web apps using ASP.NET, Java, Node.js, or PHP. 通过持续集成和持续部署 (CI/CD) 管道将每项更改自动推送到 Web 应用,更快地为客户提供价值。Deliver value faster to your customers with a continuous integration and continuous deployment (CI/CD) pipeline that pushes each of your changes automatically to Web Apps.

  • 适用于容器的 CI/CDCI/CD for Containers

    可以通过容器轻松地持续生成和部署应用程序。Containers make it easy for you to continuously build and deploy your applications. 使用 Azure Kubernetes 服务 (AKS) 中的 Kubernetes 协调那些容器的部署即可获得可复制且可管理的容器群集。By orchestrating deployment of those containers using Kubernetes in Azure Kubernetes Service (AKS), you can achieve replicable, manageable clusters of containers.

  • 使用基于 Azure Kubernetes 服务 (AKS) 的 Jenkins 和 Kubernetes 实现容器 CI/CDContainer CI/CD using Jenkins and Kubernetes on Azure Kubernetes Service (AKS)

    可以通过容器轻松地持续生成和部署应用程序。Containers make it easy for you to continuously build and deploy applications. 使用 Azure Kubernetes 服务 (AKS) 协调那些容器的部署即可获得可复制且可管理的容器群集。By orchestrating the deployment of those containers using Azure Kubernetes Service (AKS), you can achieve replicable, manageable clusters of containers.

  • 混合环境中的 DevOpsDevOps in a hybrid environment

    Azure 中提供的工具允许实现 DevOps 策略来有效地管理云环境和本地环境。The tools provided in Azure allow for the implementation of a DevOps strategy that capably manages both cloud and on-premises environments in tandem.

  • Azure 中的 DevSecOpsDevSecOps in Azure

    DevSecOps 涉及到从开发一开始就利用安全最佳做法,将安全重心从最后通过审核来确保安全的做法,改为在开发的最初阶段就采取安全措施。DevSecOps involves utilizing security best practices from the beginning of development, shifting the focus on security away from auditing at the end and towards development in the beginning

  • 开发测试映像工厂DevTest Image Factory

    使用开发测试映像工厂(Azure 开发测试实验室提供的自动化映像开发和管理解决方案)创建、维护和分发自定义映像。Create, maintain, and distribute custom images with the DevTest Image Factory, an automated image development and management solution from Azure DevTest Labs.

  • 在 Azure 虚拟体系结构上使用 Jenkins 和 Terraform 的不可变基础结构 CI/CD 概述Immutable Infrastructure CI/CD using Jenkins and Terraform on Azure Virtual Architecture overview

    Azure 是世界级云,用于托管运行 Windows 或 Linux 的 Azure 虚拟机。Azure is a world-class cloud for hosting virtual machines running Windows or Linux. 不管你是使用 Java、Node.js、Go 还是 PHP 来开发应用程序,都需要通过持续集成和持续部署 (CI/CD) 管道自动将更改推送到这些虚拟机。Whether you use Java, Node.js, Go, or PHP to develop your applications, you'll need a continuous integration and continuous deployment (CI/CD) pipeline to push changes to these virtual machines automatically.

  • 使用 Jenkins 和 Azure Web 应用实现 Java CI/CDJava CI/CD using Jenkins and Azure Web Apps

    有了 Azure 应用服务,就可以轻松快捷地使用 Java、Node、PHP 或 ASP.NET 创建 Web 应用,并支持使用 Docker 的自定义语言运行时。Azure App Service is a fast and simple way to create web apps using Java, Node, PHP or ASP.NET, as well as support for custom language runtimes using Docker. 通过持续集成和持续部署 (CI/CD) 管道将每项更改自动推送到 Azure 应用服务,更快地为客户提供价值。A continuous integration and continuous deployment (CI/CD) pipeline that pushes each of your changes automatically to Azure app services allows you to deliver value faster to your customers.

  • 在 Azure 上运行 Jenkins 服务器Run a Jenkins server on Azure

    演示如何在 Azure 上部署和运行使用单一登录 (SSO) 保护的可伸缩企业级 Jenkins 服务器的建议体系结构。Recommended architecture that shows how to deploy and operate a scalable, enterprise-grade Jenkins server on Azure secured with single sign-on (SSO).

  • 使用低成本无服务器 Azure 服务实时共享位置Sharing location in real time using low-cost serverless Azure services

    在无服务器模式下配置的 SignalR,可与通过服务总线触发的 Azure 函数配合使用。SignalR configured in server-less mode to work with Azure Function triggered by Service Bus. 所有这些都使用 .NET Core。All of it using .NET Core. 此方案最适用于用户需要低成本但可靠的消息服务的实时消息应用程序。This scenario is best used for real time messaging applications where users require a low-cost but robust messaging service.

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开发人员工具

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混合

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标识

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集成

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物联网

  • 新冠肺炎安全解决方案与 IoT EdgeCOVID-19 Safe Solutions with IoT Edge

    了解如何使用 CCTV、IoT Edge 分析和机器学习以及云服务来监视社交距离、口罩/PPE 的使用和容纳要求。Learn how to use CCTV, IoT Edge analytics and machine learning, and cloud services to monitor social distancing, mask/PPE use, and occupancy requirements.

  • 使用语音助手控制 IoT 设备Controlling IoT devices using a Voice Assistant

    创建与可通过 Internet 访问的所有设备(从互联电视或冰箱到互联电厂中的设备,不一而足)之间的无缝对话接口。Create seamless conversational interfaces with all of your internet-accessible devices�from your connected television or fridge to devices in a connected power plant. 通过将 Azure 语音服务、语言理解服务 (LUIS) 和 Azure Bot Framework 结合使用,开发人员可以创建自然的、类人的对话接口来控制智能设备。By combining Azure Speech Service, Language Understanding Service (LUIS) and Azure Bot Framework, developers can create natural, human-like conversational interfaces to control smart devices.

  • IoT 体系结构 - Azure IoT 子系统IoT Architecture � Azure IoT Subsystems

    了解建议的 IoT 应用程序体系结构,该结构支持混合云和边缘计算。Learn about our recommended IoT application architecture that supports hybrid cloud and edge computing. 流程图详细说明了子系统在 IoT 应用程序中的工作方式。A flowchart details how the subsystems function within the IoT application.

  • IoT 和数据分析IoT and data analytics

    使用 IoT 设备和数据分析提供建筑项目的全面管理和运营。Use IoT devices and data analytics to provide comprehensive management and operation of construction projects.

  • 使用 Cosmos DB 的 IoTIoT using Cosmos DB

    即时灵活缩放以适应多种不可预测的 IoT 工作负荷,而不会影响引入或查询性能。Scale instantly and elastically to accommodate diverse and unpredictable IoT workloads without sacrificing ingestion or query performance.

  • 实时 Web 仪表板Real-time Web Dashboard

    安全地监视和控制从连接 Internet 的设备流式传输的数据Securely monitor and control data streamed from Internet-connected devices

  • 使用 Microsoft 标识平台保护 IoT SaaS 应用Secure your IoT SaaS app with the Microsoft identity platform

    开发人员可以如何使用 Azure Active Directory 和 Microsoft 标识平台,来为用于管理连接到云的 IoT 设备的 SaaS 应用实现安全身份验证和授权。How a developer can use Azure Active Directory and the Microsoft identity platform to implement secure authentication and authorization for SaaS apps that manage cloud-connected IoT devices.

  • 遥测分析Telemetry Analytics

    汽车经销商、汽车制造商和保险公司可以使用 Cortana Intelligence 的功能实时和预测性地深入了解车辆运行状况和驾驶习惯。Car dealerships, automobile manufacturers and insurance companies can use the capabilities of Cortana Intelligence to gain real-time and predictive insights on vehicle health and driving habits.

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管理和监管

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媒体

  • 实时传送视频流数字媒体Live streaming digital media

    实时流式处理解决方案用于实时捕获视频,并将其实时广播给使用者,例如在线进行的流式访谈、会议和体育活动。A live streaming solution allows you to capture video in real-time and broadcast it to consumers in real time, such as streaming interviews, conferences, and sporting events online.

  • 点播视频数字媒体Video-on-demand digital media

    一个基本的视频点播解决方案,让你能够将电影、新闻剪辑、体育片段、培训视频和客户支持教程等录制的视频内容流式传输到任何支持视频的终结点设备、移动应用程序或桌面浏览器。A basic video-on-demand solution that gives you the capability to stream recorded video content such as movies, news clips, sports segments, training videos, and customer support tutorials to any video-capable endpoint device, mobile application, or desktop browser. 视频文件上传到 Azure Blob 存储,编码为多比特率标准格式,然后通过所有主要的自适应比特率流式处理协议(HLS、MPEG-DASH、平滑)分发到 Azure Media Player 客户端。Video files are uploaded to Azure Blob storage, encoded to a multi-bitrate standard format, and then distributed via all major adaptive bit-rate streaming protocols (HLS, MPEG-DASH, Smooth) to the Azure Media Player client.

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迁移

  • 向旧式应用添加移动前端Adding a mobile front-end to a legacy app

    本解决方案演示了如何将多个业务系统中的数据整合到一个位置并通过 Web 和移动前端来呈现这些数据,通过这种方式将现有应用程序现代化。The solution demonstrates modernizing an existing application by consolidating data from multiple business systems into one place and surfacing it through web and mobile frontends. 这旨在提高员工的工作效率并实现更快的决策。This is targeted at improving employee productivity and to enable faster decision making.

  • 新式客户支持门户Modern Customer Support Portal

    此体系结构展示了如何轻松地连接多个业务系统以启用客户支持。This architecture shows how to easily connect multiple business systems to enable customer support.

  • 用于 LOB 应用的无服务器计算解决方案Serverless Computing Solution for LOB Apps

    此解决方案演示了一个客户加入业务流程。The solution demonstrates a business process for customer onboarding. 这种无服务器体系结构使你可以构建和运行应用程序,无需担心底层基础结构和相关的管理与维护。This serverless architecture enables you to build and run applications without having to worry about the underlying infrastructure and the associated management and maintenance. 使用它可以显著提高开发人员工作效率。By using it, you can dramatically improve developer productivity.

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混合现实

  • 由混合现实提供支持的设计评审Design Review Powered by Mixed Reality

    很多时候,产品设计人员浪费了时间和金钱得到的设计评审却很低效 - 2D 图像丢失了重要的详细信息和上下文,而物理原型则成本极为高昂。Too often, product designers waste time and money with inefficient design review�2D images lose essential detail and context, and physical prototypes are extremely expensive. 利用这种混合现实方案,客户、设计人员和现场工程师可以在环境上下文中轻松地共享和评审 3D 全息形式的设计,加快设计决策并缩短上市时间。With this mixed reality scenario, clients, designers, and on-site engineers can easily share and review designs as 3D holograms in the context of their environment, accelerating design decisions and reducing time to market.

  • 设备管理由混合现实和 IoT 提供支持Facilities management powered by mixed reality and IoT

    通过混合现实和 IoT 改善酒店业、制造业、零售业等的运行时间和操作。Improve uptime and operations in hospitality, manufacturing, retail, and more with mixed reality and IoT. 此方案展示了如何使用环境上下文中的实时数据可视化物理空间的虚拟副本。This scenario shows how you can visualize a virtual replica of your physical space with real-time data in the context of your environment. 它构建于 Azure 空间定位点和 Azure 数字孪生之上。It is built on Azure Spatial Anchors and Azure Digital Twins. 查看此解决方案体系结构后,深入了解参考示例。After reviewing this solution architecture, dive right in and explore our reference sample.

  • 由混合现实提供支持的培训和过程指导Training and procedural guidance powered by mixed reality

    通过提供映射到物理工作区中精确位置的永久性全息说明,让你的团队和员工能够更快地了解新的流程和资料,在减少错误的同时提高信心。Enable your team and employees to learn new processes and materials faster, with fewer errors, and greater confidence by providing persistent holographic instructions mapped to precise locations in their physical workspace.

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移动型

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网络

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安全性

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存储

  • HPC 媒体渲染HPC Media Rendering

    使用 Azure 中结合了 Azure CycleCloud 和 Avere vFXT 的分步 HPC 解决方案体系结构优化媒体渲染过程。Optimize the media rendering process with a step-by-step HPC solution architecture from Azure that combines Azure CycleCloud and Avere vFXT.

  • 医疗数据存储解决方案Medical Data Storage Solutions

    利用 Azure 中基于云的解决方案,高效且经济地存储医疗保健数据。Store healthcare data effectively and affordably with cloud-based solutions from Azure. 管理内置安全性级别最高的医疗记录。Manage medical records with the highest level of built-in security.

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Web

  • 构建可缩放的电子商务 Web 应用Architect scalable e-commerce web app

    电子商务网站包含在 Azure 服务的帮助下完成的简单的订单处理工作流。The e-commerce website includes simple order processing workflows with the help of Azure services. 使用 Azure Functions 和 Web 应用,开发人员可以专注于构建个性化体验,让 Azure 负责基础结构。Using Azure Functions and Web Apps, developers can focus on building personalized experiences and let Azure take care of the infrastructure.

  • 基本 Web 应用程序Basic web application

    建议用于 Azure 中运行的基本 Web 应用程序的体系结构。Recommended architecture for a basic web application running in Azure.

  • 高可用性 SharePoint 场Highly available SharePoint farm

    了解如何使用 Azure 中的分步解决方案体系结构模板为 Intranet 功能部署高度可用的 SharePoint 场。Learn how to deploy a highly available SharePoint farm for intranet capabilities with a step-by-step solution architecture template from Azure.

  • 用于 Office 365 的混合 SharePoint 场Hybrid SharePoint Farm with Office 365

    通过部署 SharePoint 并与 Office 365 共享混合工作负载,提供高度可用的 Intranet 功能。Deliver highly available intranet capability by deploying SharePoint and sharing hybrid workloads with Office 365. 使用分步说明设置此解决方案。Setup this solution with step-by-step instructions.

  • 多区域 N 层应用程序Multi-region N-tier application

    在多个区域中的 Azure 虚拟机上部署应用程序以实现高可用性和复原能力。Deploy an application on Azure virtual machines in multiple regions for high availability and resiliency.

  • 针对 HA/DR 生成的多层 Web 应用程序Multi-tier web application built for HA/DR

    使用 Azure 虚拟机、可用性集、可用性区域、Azure Site Recovery 和 Azure 流量管理器在 Azure 上创建可实现高可用性和灾难恢复的多层 Web 应用程序。Create a multitier web application built for high availability and disaster recovery on Azure using Azure virtual machines, availability sets, availability zones, Azure Site Recovery, and Azure Traffic Manager.

  • 适用于大型实例的 SAP S/4 HANASAP S/4 HANA for Large Instances

    详细了解用于大型实例的 SAP HANA on Azure,其中包含高可靠性和灾难恢复。Learn more about SAP HANA on Azure for large instances that includes high reliability and disaster recovery. 了解 NFS 存储如何用于 SAP HANA 的大型实例。Find out how NFS storage is used for large instances of SAP HANA.

  • 可缩放的 Episerver 营销网站Scalable Episerver marketing website

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    有了 Sitecore 体验平台 (xP),你可以掌控完整的数据、集成工具和自动化功能,从而让客户能够参与到整个迭代生命周期中,这是赢得终身客户所需的技术基础。With the Sitecore Experience Platform (xP), you have at your fingertips the complete data, integrated tools, and automation capabilities to engage your customers throughout an iterative life cycle-the technology foundation necessary to win customers for life.

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    可缩放的 web 应用、azure redis 缓存、会话数据缓存、用户 cookie 缓存、azure cache for redisscalable web apps, azure redis cache, session data cache, user cookie cache, azure cache for redis

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    快速构建和启动根据客户需求自动缩放的数字营销活动。Quickly build and launch digital campaigns that automatically scale based on customer demand.

  • 简单的数字营销网站Simple digital marketing website

    利用内容管理系统轻松入门,以便在浏览器中轻松地实时维护网站上的消息,无需任何编码技能。Start simple with the content management system that enables you to easily maintain the messaging on your website in real-time, from a browser, with no coding skills.

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