We live in the golden age of cloud computing. For consumers, it’s a wonder. For developers, it’s a complete and utter mess.
Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science.
Multi-cloud simply won’t go away. AWS spent years trying to avoid it, with persistent messaging that multi-cloud was more exception than rule.
Funding pledged to secure open source software is an important start, but creative hackers and a proliferation of targets mean there are no guarantees.
It’s felt obvious for some time that, as an industry, we’ve been trying to shove square data warehousing tools into round, data-driven application holes.
We used to be able to count on a steady blaze of open source dumpster fires raging in the corner of downtown Seattle where AWS is headquartered.
The economics of open source today: Hobbyist projects, independent code artisans, and managed services have changed the software market.
Databases have morphed from basic models to specialised versions. Are they now returning to simpler days?
Carefully limiting choices (and complexity) lets developers focus on innovation and not worry about security and operations.
Twitter can be a toxic dump for ill-informed and ill-mannered opinions. It’s also where Microsoft’s Scott Hanselman hangs out, sharing wisdom from his decades in software.
Amazon Web Services has never been the open source ogre that some have claimed, but it also hasn’t been quite as good as some have wanted.
Open source technologies give developers transferrable skills that help vendors build standards-based products. Everybody benefits.
Businesses building their own infrastructure can improve the customer experience, but it’s usually faster and cheaper to buy from the heavy lifters.
It’s obvious that cyber security becomes a bigger concern every day. Stay in the cloud, and take responsibility for the open source software you use.
The cloud providers that create the biggest ecosystems and partner networks will be the ones at the top.
