microsoft
Enterprise

Hold the hardware: Microsoft introduces virtual Windows developer workstations

The new Microsoft Dev Box service, coupled with Azure Deployment Environments, lets developers go from code to the cloud faster than ever.

The silhouette of Lorraine Bardeen, studio manager of mixed reality at Microsoft Corp., is seen during a presentation at the Microsoft Developers Build Conference in Seattle, Washington, U.S., on Monday, May 7, 2018. The Build conference, marking its second consecutive year in Seattle, is expected to put emphasis on the company's cloud technologies and the artificial intelligence features within those services. Photographer: Grant Hindsley/Bloomberg via Getty Images

Microsoft hopes a new cloud service will address one of developers' biggest challenges.

Photo: Grant Hindsley/Bloomberg via Getty Images

Microsoft hopes a new cloud service will address one of the biggest challenges that developers have raised with the technology giant over the last several years: managing developer workstations.

Microsoft Dev Box, now in private preview, creates virtual developer workstations running its Windows operating system in the cloud, allowing development teams to standardize how those fundamental tools are initialized, set up and managed.

Dev teams can preconfigure Dev Boxes for specific projects or tasks so they are ready to code. The new service’s integration with Windows 365 ensures unified management, security and compliance by allowing IT administrators to manage them and Cloud PCs with Microsoft Intune and Microsoft Endpoint Manager.

The launch, which will be announced Tuesday at the Microsoft Build developers conference, follows Microsoft’s release last year of GitHub Codespaces, a cloud-based development environment that can be accessed from a web browser, Visual Studio Code or by using Secure Shell Protocol.

“While [GitHub] Codespaces is a fantastic solution for Linux-based apps, cloud-native apps, web applications and source code repositories that are hosted in GitHub, Microsoft Dev Box will allow you to have compliance and a pre-loaded Windows dev workstation in the cloud,” Amanda Silver, corporate vice president of Product for Microsoft’s developer division, told Protocol.

Developers are constantly resetting their boxes, according to Silver. Every time they need to learn a new technology, onboard a new employee or investigate a new bug, it all starts with setting up a developer box.

“That can often take a really long time, because it means that you need to create a developer machine that basically can compile and run the source code that your team is working on more broadly,” she said. “And getting a consistent environment is a really challenging thing. We also have a situation where getting the hardware that you need to get access to is increasingly challenging with supply chain constraints.”

Microsoft also announced Azure Deployment Environments in private preview. The new service is designed to make it easier for development teams to quickly spin up application infrastructure with project-based, self-serviced, infrastructure-as-code templates.

“[It’s] basically a way that you can set up dev tests and production deployment slots that can provision all of the other resources that your application might have a dependency on,” Silver said. “With that, you can actually have a complete one-stop shop to be able to go from your code to the cloud really faster than ever, because you could both set up the dev workstation but also set up the developer environment that you need to target to be able to build that solution.”

 Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

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Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

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Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

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Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

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Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

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Farewell from Protocol

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

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Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

machine learning
Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

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Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

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