Matt Asay
Contributor
Matt Asay is Head of Developer Ecosystem for Adobe, where previously he was vice president of mobile strategy. Prior to Adobe, Asay held a range of roles at open source companies: VP of business development, marketing and community at MongoDB, a leading big data database company; VP of business development at real-time analytics company Nodeable (acquired by Appcelerator); VP of business development and interim CEO at mobile HTML5 start-up Strobe (acquired by Facebook); COO at Canonical, a leading Linux and cloud vendor; and head of the Americas at Alfresco, a content management startup. Asay is an emeritus board member of the Open Source Initiative (OSI) and holds a J.D. from Stanford, where he focused on open source and other IP licensing issues. Asay writes regular columns for The Register, TechRepublic, and InfoWorld.
Cloud vendors are who’s powering open source now
Those “evil” cloud companies aren’t sucking the life out of open source—they’re the major contributors
Why IBM/Red Hat just might become a cloud powerhouse
AWS clearly leads the cloud pack among CIOs, and Microsoft has earned the No. 2 spot. But it’s not Google who could be No. 3.
AWS vs. open source: DocumentDB is the latest battlefront
In trying to prevent competition from AWS, vendors like MongoDB are undercutting open source. Ultimately, the battle could hurt both sides—and IT
Kubernetes is so hard—but worth the pain
2019 will be a challenging year for some enterprises as they try to turn Kubernetes hype into production reality
How to become a transformative enterprise in the cloud
Guardian Life shows why cloud computing isn’t a technology problem solved by moving workloads out of private data centers and into public clouds
AWS adds blockchain and time-series databases
With three major functional upgrades to existing databases as well, the full complement of purpose-built AWS databases is now 15
Why Google Cloud’s new boss will fail like the old boss
The Google culture doesn’t care about enterprise, and replacing one seasoned enterprise exec with another won’t change that fact
Sorry, Linux. Kubernetes is now the OS that matters
Linux is just plumbing. The real OS—the real value—is with Kubernetes
Microsoft’s attempt to fork Kubernetes via AKS will fail
Microsoft is a smart company, and increasingly savvy about open source. It should know better than to try to fork the container orchestration community
What IBM-Red Hat means to the cloud and developers
By buying Red Hat, IBM just bought itself a clue in hybrid cloud computing. And it just might work
How the cloud is driving the enterprise database
Public cloud vendors building services that capture more and more enterprise data, potentially prophesying decades of self-inflicted enterprise lockin
MongoDB’s new license won’t solve its China problem
We need to find ways to ensure commercial open source can thrive, without worrying about the big cloud providers sucking out all value without contributing back
How Azure became the place for open source in the cloud
Microsoft has truly embraced open source, in a radical shift rare for a big company—and developers should be very happy
Machine learning: How to go from theory to reality
A lack of skilled people continues to stymie the AI revolution. That’s why smart companies invest as much in cultural change as technology adoption—and Google shows how
Developers, not CIOs, are who drive your cloud strategy
Yes to multicloud and yes to hybrid cloud. But not because there’s some grand plan to limit lockin or deliver high availability
Business can’t win without developers, but you need more
A surprising survey shows that lack of software development capabilities is the top inhibitor to business success. So, how do you fix that?
Watch out, MySQL: MariaDB could replace you
Even as MySQL’s popularity has flattened and even declined, MariaDB has boomed
If you have ambition, open source at scale is essential
“No proprietary software can solve all the problems of companies that operate at the scale of Didi,” says Li Luo, technical director of big data at Didi Chuxing, the Uber of China
Why there are no shortcuts to machine learning
As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts
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