As part of my role as a senior product marketing manager at an enterprise software company with an open source development model, I publish a regular update about market trends for product marketers, managers, and other influencers. In the spirit of open source, here are the 5 articles my audience found the most interesting last week (as measured by clicks) and why I think that’s so.
“The big takeaway for me is that they consider Podman ready to use because it’s honestly amazing. A fully featured container engine that doesn’t need any elevated privileges or a central daemon — using just Linux namespacing features. Once people realize the implications of having containers just being something you can run like any other program with zero fanfare I expect adoption to explode. ”
Why I suspect this played: Hacker News is known for civil honest debate and thoughtful comments. The people on Hacker News probably represent personas my company cares about. So while we knew it might not be pretty, we wanted the raw response to the announcement of a new rev of our flagship.
“O’Reilly is here with a bundle of DevOps books, including The Site Reliability Workbook, AWS System Administration, Designing Distributed Systems, Database Reliability Engineering, and more. Grab it now, because as they say: ops-ortunity knocks but once.”
Why I suspect this played: Everyone likes a bargain, and this one contained not just one but two books by esteemed colleagues.
“It would have to be a heck of an offer though, even by post-Red Hat acquisition terms. Shuttleworth doesn’t need the money. What he wants is to make his mark in technology history.”
Why I suspect this played: Mark Shuttleworth is the Tony Stark of the technology industry. We all wonder what is the point at which he’ll stop running Canonical at a loss, either by selling it or turning a profit.
“The challenge with AI and machine learning, according to Aronchick, is that many different software libraries need to be brought together. For instance, the Tensorflow library, which is used in applications such as image recognition, is just one aspect of a complex framework for machine learning. “Kubernetes is a base layer that lets you build a true end-to-end platform,” he said.”
Why I suspect this played: AI is both the future and the here and now. My company produces arguably the best Kubernetes distribution, so it is exciting to see Kubernetes sliding right in underneath AI workloads.
“Many people are trying to figure out how containers and Kubernetes fit in with OpenStack. Here’s the perspective of Sardina Systems’ Mihaela Constantinescu. For some context: Sardina is an award-winning company headquartered in London that developed a technology to automate HPC operations in large-scale cloud data centers, such as collecting utilization metrics, driving scalable aggregation and consolidation of data plus optimizing resource demand to resource availability. Sardina offers FishOS, an OpenStack and Kubernetes cloud platform that aims for zero-downtime operations.”
Why I suspect this played: Our company has products based on both these technologies, so we’ve got a pretty clear answer to this question (complimentary). It is good to see others grappling with the same questions and coming up with similar answers.
Those stories got the most attention last week; subscribe to find out what we read this week (along with the other stuff I publish).