Last week in Orlando, Microsoft welcomed more than 25,000 people to Microsoft Ignite, where we showcased how we\u2019re infusing cloud, AI and mixed reality across Microsoft’s technologies. Throughout the event, open source technologies took center stage, playing a big part in making this happen.<\/p>\n\n\n\n
For a quick summary of the open source related announcements and sessions, on topics ranging from DevOps and containers to quantum computing, read below.<\/p>\n\n\n\n
Azure CosmosDB and Azure Functions integration<\/a>: By bringing the power of Azure CosmosDB, a globally distributed, first-of-its-kind modern NoSQL database service, to Microsoft\u2019s serverless offering, Azure Functions, developers can achieve new levels of productivity, writing apps with just a few lines of code so they can innovate faster to react to \u201cevents\u201d like IoT sensors, database changes and more.<\/p>\n\n\n\n Microsoft\u2019s approach to quantum computing<\/a>: Following 12 years of investment in a vision to create a scalable computer based on quantum physics, Microsoft announced the creation of a new programming language optimized for exploiting scalable quantum computers and deep integration of the programming language into Visual Studio, providing developers with debugging and other support and state-of-the-art simulators that can run locally or on Microsoft Azure. The tools will be available for free by year\u2019s end. Developers can join Microsoft\u2019s quantum community today by signing up at www.microsoft.com\/quantum<\/a>.<\/p>\n\n\n\n SQL Server on Linux, Windows and Docker availability with SQL Server 2017 GA<\/a>: SQL Server is the first born-in-the-cloud database that is also available on-premises. SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time, enabling developers to build intelligent applications using their preferred language and environments to drive even more productivity, along with high levels of performance and data security.<\/p>\n\n\n\n Preview of new updates to Azure Machine Learning<\/a>: These updates provide AI developers and data scientists with a new set of tools to develop and manage machine learning and AI models anywhere \u2014 in the cloud, on-premises or on the edge. These new updates will also make AI developers and data scientists more productive by leveraging the most popular open source frameworks, tools and runtimes.<\/p>\n\n\n\n There were more than 40 sessions on Linux and open source topics. You can find the complete list here<\/a>. Below are a few of our favorites.<\/p>\n\n\n\nOn-demand Sessions<\/h2>\n\n\n\n