17

Jun

Microsoft and Truffle partner to bring a world-class experience to blockchain developers

Last month, Microsoft released Azure Blockchain Service making it easy for anyone to quickly setup and manage a blockchain network and providing a foundation for developers to build a new class of multi-party blockchain applications in the cloud.

To enable end-to-end development of these new apps, we’ve collaborated with teams from Visual Studio Code to Azure Logic Apps and Microsoft Flow to Azure DevOps, to deliver a high-quality experience that integrates Microsoft tools developers trust and open-source tools they love.

As we looked at the open source projects for Ethereum-based blockchains, we saw Truffle addressing core needs of developers looking to create, compile, test, and manage smart contract code. We kicked off our relationship in 2018 by co-authoring guidance for using Truffle for consortium DevOps and incorporating Truffle-based tooling in our Azure Blockchain Development Kit for Ethereum.

This week, we doubled down on our relationship by announcing an official partnership between our organizations to bring Truffle blockchain tools for developer experience and DevOps to Microsoft Azure. This will manifest not just in Visual Studio and Azure DevOps, but also upcoming tools from Truffle such as Truffle Teams. Through this partnership, developers working in Truffle environments will have access to Azure

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17

Jun

Azure Stack IaaS – part ten
Azure Stack IaaS – part ten

https://azure.microsoft.com/blog/azure-stack-iaas-part-ten/This blog is co-authored by Andrew Westgarth, Senior Program Manager, Azure Stack  Journey to PaaS One of the best things about running your VMs in Azure or Azure Stack is you can begin to modernize around your virtual machines (VMs) READ MORE

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17

Jun

Azure.Source – Volume 87
Azure.Source – Volume 87

https://azure.microsoft.com/blog/azure-source-87/

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13

Jun

AI in Power BI Survey
AI in Power BI Survey

https://powerbi.microsoft.com/en-us/blog/power-bi-ai-survey/Source: https://powerbi.microsoft.com/en-us/blog/power-bi-ai-survey/           Take this short survey to influence our plans for AI in Power BI

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13

Jun

Customers get unmatched security with Windows Server and SQL Server workloads in Azure

Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security. While understanding cloud security is initially a concern to many, after digging in, customers often tell us the security posture they can set up within Azure is easier to implement and far more comprehensive than what they can provide for in other environments.

Azure delivers multiple layers of security, from the secure foundation in our physical datacenters, to our operational practices, to engineering processes that follow industry standard Mitre guidelines. On top of that, customers can choose from a variety of self-service security services that work for both Azure and on-premises workloads. We employ more than 3,500 cybersecurity professionals and spend $1 billion annually on security to help protect, detect, and respond to threats – delivering security operations that work 24x7x365 for our customers.

Let’s look at some examples of how Azure delivers unmatched security for your Windows Server and SQL Server workloads.

The broadest built-in protections across hybrid environments with Azure Security Center

Customers can get the broadest built-in protection available across both cloud and on-premises through Azure Security Center. This includes security recommendations for virtual

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13

Jun

https://azure.microsoft.com/blog/make-your-data-science-workflow-efficient-and-reproducible-with-mlflow/This blog post was co-authored by Parashar Shah, Senior Program Manager, Applied AI Developer COGS. When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, READ MORE

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13

Jun

Learn by example: How IoT solutions transform industries

https://azure.microsoft.com/blog/learn-by-example-how-iot-solutions-transform-industries/

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13

Jun

How one Azure IoT partner is building connected experiences

We recently spent time with Mesh Systems, a Microsoft Gold Cloud platform partner based in Carmel, Indiana, to understand what a day in the life of an Azure IoT partner looks like. They shared some of their recent IoT customer engagements and talked about the types of everyday challenges Azure IoT partners face like building an IoT solution with legacy endpoints, how to approach tracking assets through a supply chain, and integrating an IoT solution with a business application. Finally, we discussed what best practices have driven the success of their IoT practice.

Connected coffee: building an IoT solution with legacy endpoints

Mesh’s experience in the beverage category caught the interest of a large European company that provides coffee beans and routine maintenance to thousands of coffee machines. The company wanted to innovate by providing their bean supplier with robust consumption data using an IoT solution.

But there was a catch. The company managed machines made by many different manufacturers across many different classes of machines. It would be cost prohibitive to build a custom integration for each machine type. There was no way to connect them to the cloud without expensive rework.

“This is a typical brownfield use

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13

Jun

https://azure.microsoft.com/blog/three-ways-to-get-notified-about-azure-service-issues/Preparing for the unexpected is part of every IT professional’s and developer’s job. Although rare, service issues like outages and planned maintenance do occur. There are many ways to stay informed, but we’ve identified three effective approaches that have helped READ MORE

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13

Jun

Smarter edge, smarter world: Discover the autonomous edge

If you want to solve a business problem using a computer, you have to connect to it. The furthest point at which you can connect the “edge” has always been a major frontier of computing. In the 1950s, the edge was where you were close enough to feed punch cards into a computer.

As computers got smaller and cheaper, networking expanded access, and the edge spread beyond centralized computing hubs. Today, mobile connectivity and the cloud have pushed the edge further. Consumers and businesses have anytime access to virtually unlimited computing power. We have the ability to connect billions of small devices, creating an Internet of Things. And we’re starting to see IoT scenarios that demand bringing the computing power to the problem.

That’s where the autonomous edge comes in. In Make Room for The Autonomous Edge in Your IoT Strategy, Forrester defines the autonomous edge as “A family of technologies that distributes application data and services where they can best optimize outcomes in a growing set of connected assets. It includes edge infrastructure and edge analytics software.”

In other words, it brings intelligence to where the problem is. The decisions and actions in autonomous edge computing happen out in

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