Active Directory from on-premises to the cloud – Azure AD whitepapers
Azure AD Whitepaper Sammlung
Addressing ROI in Internet of Things Solutions
In this paper, Microsoft offers a simplified approach for determining the ROI of an IoT investment, using an example of a firm implementing a remote monitoring solution. It starts with defining a business objective and comparing basic implementation costs to potential long-term savings. It then outlines other considerations, such as evaluating the less obvious costs and unexpected benefits of an IoT solution.
An Overview of Azure AD
Überblick über Azure Active Directory
Azure IoT Reference Architecture
Referenzarchitektur für IoT Projekte auf Microsoft Azure
Azure IoT Reference Architecture (PDF)
Big Data - Making Big Data Batch Analytics Easier Using U-SQL
The new Microsoft Azure Data Lake services for analytics in the cloud ( includes a hyper-scale repository; a new analytics service built on YARN ( that lets data developers and data scientists analyze all data; and HDInsight (, a fully managed Hadoop, Spark, Storm and HBase service. Azure Data Lake Analytics also includes U-SQL, a language that unifies the benefits of SQL with the expressive power of your own code. The U-SQL scalable distributed query capability enables you to efficiently analyze data in the store and across relational stores such as Azure SQL Database. In this article, I’ll outline the motivation for U-SQL, some of the inspiration and design philosophy behind the language and give a few examples of the major aspects of the language.
Building Mission Critical Systems Using Cloud Platform Services
Sometimes mission critical systems may have higher SLA requirements than those offered by the cloud platform services. It is possible to build systems whose availability is higher than the constituent services by incorporating necessary measures into the system architecture. Airplanes, satellites, nuclear reactors, oil refineries and other mission critical real world systems have been building highly available architectures from components that are prone to fail. These systems employ a varying degree of redundancy based on the tolerance for failure. For instance, Space Shuttle2 used 4 active redundant flight control computers with the fifth one on standby reduced functionality mode. Through proper parallel architecture for redundancy, software systems can attain the necessary reliability on general purpose cloud platforms like Windows Azure. The SLA numbers used in this document are theoretical possibilities and the real SLA numbers depend on the quality of the application architecture and the operational excellence of the deployment.
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Continuous deployment using Microsoft Azure Web Sites
This document discusses how to realize a continuous deployment pipeline using Microsoft Azure Web Sites. To successfully implement such an approach, deployment is the last step of the full delivery pipeline, which consists of configuration management, continuous integration, automated testing, and automated deployment.
Continuous deployment using Microsoft Azure Web Sites (PDF)
Infrastructure as Code Whitepaper
Fueling The Fire For Faster Application Delivery
Introducing Azure Machine Learning
Überblick über Azure Machine Learning
Introducing DocumentDB - A NoSQL Database for Microsoft Azure
Whitepaper zu Azure DocumentDB
Microsoft Azure Machine Learning Algorithm Cheat Sheet
Microsoft Azure Machine Learning Algorithm Cheat Sheet
Microsoft Azure Network Security
This document is a guide to enhancing network communications security to better protect virtual infrastructure and data and applications deployed in Microsoft Azure
Microsoft Azure Security Response in the Cloud
Microsoft Azure Security Response in the Cloud
Microsoft Platform and Tools for Mobile Applications
This paper outlines the end-to-end platform and tools from Microsoft that form the critical capabilities for organizations planning and developing mobile enterprise apps for Windows, iOS and Android connected to backend services (Cloud and on-premises).
Schema Agnostic Indexing with Azure DocumentDB
Azure DocumentDB is Microsoft’s multi-tenant distributed database service for managing JSON documents at Internet scale. DocumentDB is now generally available to Azure developers. In this paper, we describe the DocumentDB indexing subsystem. DocumentDB indexing enables automatic indexing of documents without requiring a schema or secondary indices. Uniquely, DocumentDB provides real-time consistent queries in the face of very high rates of document updates. As a multi-tenant service, DocumentDB is designed to operate within extremely frugal resource budgets while providing predictable performance and robust resource isolation to its tenants. This paper describes the DocumentDB capabilities, including document representation, query language, document indexing approach, core index support, and early production experiences.
Securing Your Internet of Things from the Ground Up
Whitepaper zur Sicherheit in IoT Systemen mit der Azure IoT Suite
Security and Azure SQL Database
Security and Azure SQL Database
Shared Responsibilities for Cloud Computing
Shared Responsibilities for Cloud Computing
Taking the cloud to your datacenter - Microsoft Azure Stack
Überblick über Microsoft Azure Stack
Überblick über Microsoft Azure
Alle Services in der Microsoft Azure Plattform kompakt erklärt in diesem Überblicksdokument.
World Class ARM Templates - Considerations and Proven Practices
World Class ARM Templates - Considerations and Proven Practices