Matt Asay
Matt Asay is Head of Developer Ecosystem at Adobe at Adobe. With more than a decade in open source, Asay has served as VP of community at MongoDB; VP of business development at mobile HTML5 startup Strobe (now part of Facebook); chief operating officer at Canonical, the Ubuntu Linux company; GM, Americas and VP of business development at Alfresco; and part of the team that helped put Novell on its open source track. Asay is an emeritus board member of the Open Source Initiative (OSI) and earned his juris doctorate at Stanford, where he focused on open source and other IP licensing issues, and his MA from the University of Kent at Canterbury and his BA from Brigham Young University. Asay was one of InfoWorld's first bloggers.
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
When it comes to databases, why ‘I can’t quit you, baby’
Leaving legacy RDMSs is hard, but eventually enterprises will break free of Oracle’s and others’ last grip on their data infrastructure
Software security: There’s more to it than bug-bounty programs
Take full advantage of white-hat hackers to help you secure your code. And still do all the other security stuff you should do before you release your code
How Red Hat has come to dominate Kubernetes
Kubernetes seems destined to rule enterprise infrastructure, but, oddly, only Google and Red Hat seem to be playing to win in Kubernetes
Database shift: Start with open source but finish with AWS
AWS seems to be building natural bridges between on-premises databases like MySQL and cloud services like Amazon Aurora
Open source’s existential dilemma: the meaning of ‘free'
Developers once were quick to distinguish open source as “free as in freedom, not free as in beer.” Today, as GitHub shows, they demand the beer but are nonchalant about the freedom
Oracle’s and IBM’s IaaS cloud strategy: Talk big, invest little
They’re both woefully behind AWS, Azure, and Google Cloud, but you wouldn’t know it from their Scrooge-like investments in their cloud platforms
The Kubernetes ‘fork’: Open source purists miss the point
Is Red Hat’s OpenShift a fork of Kubernetes? No, but it still shouldn’t matter if it were
Making Kubernetes work for the average engineer—via PaaS
Despite being the hottest thing since, well, Docker, Kubernetes remains a dark art for most mainstream enterprises
The era of the cloud database has finally begun
Enterprises are waking up to discover that their database needs have changed dramatically—and that the old-school RDBMS is no longer the best tool
How AWS will own you through serverless computing
Billions of dollars invested in servers and software for serverless computing have given AWS 70 percent of the market—and the platform on which enterprise applications run
These new BI tools bridge the gap between analytics and modern applications
Emerging BI tools let developers be developers, without having to slow down to bother with the data silos they leave in their wake
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