azure

Recursos de programación de azure
Dharma will describe the internals of the system design and various design trade-offs they had to make in the process of building Azure Cosmos DB service. He will also share his experiences from operating a globally distributed database service worldwide and maintaining comprehensive Service Level Agreements (SLAs).
A popular pattern today is the injection of declarative (or functional) mini-languages into general purpose host languages. Years ago, this is what LINQ for C# was all about. Now there are many more examples such as the Spark or Beam APIs for Java and Scala. The opposite embedding is also possible: start with a declarative (or functional) language as the outer host and then embed a general purpose language. This is the path we took for Scope years ago (Scope is a Microsoft-internal big data analytics language) and have recently shipped as U-SQL. In this case, the host language is close to T-SQL (Transact SQL is Microsoft’s SQL language for SQL Server and Azure SQL DB) and the embedded language is C#. By embedding the general purpose language in a declarative language, we enable all-of-program (not just all-of stage) optimization, parallelization, and scheduling. The resulting jobs can flexibly scale to leverage thousands of machines.
Dharma Shukla (@dharmashukla) is a Distinguished Engineer at Microsoft. Dharma is also the founder of a globally distributed, multi-tenant database service on Azure. Prior to working on the current system, his work spanned a range of distributed systems and databases at Microsoft and other places.
El líder indiscutible del cloud es AWS, pero tiene un competidor que le sigue de cerca. Bueno, siendo realistas no tan de cerca, pero que se ha acercado mucho en estos últimos tiempos. Hemos visto el avance de Lambda, y como pasó de ser un anuncio en el re:Invent del 2014, a ocupar varias charlas en el re:Invent del año pasado. Teniendo en cuenta que ahora mismo, tenemos el sistema distribuido entre: el lambda de siempre, en el snowball y próximamente en la ejecución lambda de los nodos edge de cloudfront y en los productos que usen AWS Greengrass, pero la pregunta es: ¿cual es la herramienta de Azure para combatir Lambda?
Stairway to Cloud: Orleans Framework for building Halo-scale systems Orleans is the next most popular open source project of the.NET Foundation after CoreCLR/CoreFX/Roslyn. It was created in Microsoft Research and is now developed within Microsoft Studios.Orleans has already redefined how modern scalable interactive cloud services and distributed systems should be built by introducing the Virtual Actor model. Orleans has been running in production since 2011 powering high throughput cloud services for Halo Reach, Halo 4, Age of Empires, Skype, Azure Monitoring, and several other Microsoft products. It is a bedrock technology for the cloud services of Halo 5: Guardians. Since the public preview at Build 2014 and going open source in January 2015 Orleans got used by a significant number of customers ranging from small startups to large enterprises. At the same time, it attracted a group of talented engineers from companies around the globe that have formed a vibrant community around the project. The Orleans core team maintains strong ties with Microsoft Research to keep the stream of innovations going. Come hear how you can leverage Orleans today, what's been recently added to it, what new functionality is coming soon, and about our future plans.
Nuestras apps necesitan un backend que les permita conectarse a cualquier tipo de datos, autenticar a nuestros usuarios con redes sociales como Facebook o Twitter, o enviar notificaciones Push a cualquier tipo de dispositivo, entre otras cosas. Nuestras apps necesitan Azure App Services. Aunque Sheldon no estará de acuerdo, porque Azure App Services nos lo pone demasiado fácil para su gusto
Azure Machine Learning Studio es una plataforma que te permite utilizar algoritmos predictivos ya disponibles o crear los tuyos propios en la nube o y utilizarlos para tus soluciones o ponerlos a disposición de todo el mundo. Mediante una interfaz web podrás crear tu flujo de predicción y comparar fácilmente los diferentes algoritmos para identificar cual se adapta mejor a tus necesidades. Si todo esto te parece demasiado complicado, también tenemos el Proyecto Oxford, que proporciona algoritmos de visión por computador, reconocimiento de voz y lenguaje natural mediante una API Rest que puedes incorporar inmediatamente a tus aplicaciones iOS, Windows y Android.
Charla "Cloud Wars" de nuestro compañero @txetxuvel en el que habla sobre los tres principales cloud públicos: Amazon Web Services, Microsoft Azure y Google Cloud.
Introducción a Microsoft Azure