Microsoft ♥ Linux – we say that a lot, and we mean it! Today we’re pleased to announce that Microsoft is supporting the addition of Microsoft’s exFAT technology to the Linux kernel. exFAT is the Microsoft-developed file system that’s used in Windows and in many types of storage devices like SD Cards and USB flash Read more
ONNX Runtime 0.5, the latest update to the open source high performance inference engine for ONNX models, is now available. This release improves the customer experience and supports inferencing optimizations across hardware platforms. Since the last release in May, Microsoft teams have deployed an additional 45+ models that leverage ONNX Runtime for inferencing. These models Read more
Microsoft has invested in confidential computing for many years, so I’m excited to announce that Microsoft will join industry partners to create the Confidential Computing Consortium, a new organization that will be hosted at The Linux Foundation. The Confidential Computing Consortium will be dedicated to defining and accelerating the adoption of confidential computing. Confidential computing Read more
Congratulations! You’ve made it to the next installment of our overview of Trill, Microsoft’s open source streaming data engine. As noted in our previous posts about basic queries and joins, Trill is a temporal query processor. Trill works with data that has some intrinsic notion of time. However, Trill doesn’t assign any semantics to that Read more
Since Windows containers became a stable feature in Kubernetes earlier this year, we’ve seen exciting growth in use of Windows container technology. The fact that most cloud providers now have managed services supporting Windows containers through the Kubernetes API is a reflection of the demand. During conversations among the community at KubeCon + CloudNativeCon in Barcelona a few months ago, it became apparent that there needs to be more effort Read more
AzureR, a family of packages that provides tools to manage Azure resources from the open source R language, is now available. If you code in Python, C#, Java or JavaScript, you already have a rich selection of SDKs to choose from to interact with Azure. AzureR extends SDK support to the R language, by providing Read more
Today we are announcing that we’ve joined Hyperledger, a Linux Foundation community that focuses on open source implementations of the emerging specifications and standards for blockchain and distributed ledgers. Over the past few years, blockchain has shown significant promise across many industries to manage complex workflows and logistics. Enterprises and startups have gone beyond the Read more
This is part 2 of 2-post series that shows you how to use Trill, an open source .NET library designed to process one trillion events a day, for impression feedback. In part 1, we walked through how to write Trill queries to find out: 1) which impressions successfully joined to the feedback stream and 2) Read more
Watch someone live code online…why would I do that? Hopefully I can answer this question for you in today’s post. This is the second post in my blog series that describes the value developers can get from social media, including what I’ve learned about specific social media platforms. Today we’ll focus on Twitch, specifically how Read more
On the Microsoft BingAds team, one of my primary responsibilities is the development and maintenance of the FastBI pipeline – the system responsible for all revenue coming from the Bing search engine. We have been working on streaming technologies for the last five years, combining the scale and stability of our internal Cosmos compute platform Read more
I’m excited to announce that OpenTelemetry is now a Cloud Native Computing Foundation (CNCF) sandbox project. You can read more about OpenTelemetry’s origins in A Brief History of OpenTelemetry (So Far) on the CNCF blog. OpenTelemetry is created as a merger of the OpenCensus and OpenTracing projects. This project aspires to make robust, portable telemetry Read more
Organizations that want to leverage AI at scale must overcome a number of challenges around model training and model inferencing. Today, there are a plethora of tools and frameworks that accelerate model training but inferencing remains a tough nut due to the variety of environments that models need to run in. For example, the same Read more
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