Old dog, new tricks – Amateur tech diviner – Issue #11

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.

“Matt Micene, the technical product marketing manager for RHEL 8, said it’s also now possible for multiple versions of the same package—for example, an interpreted language or a database—to be made available via an application stream. That means different DevOps teams will be able to more easily work with different versions of various classes of technologies without having to wait for the next upgrade of the operating system, he said.”

Why I suspect this played: One of the marquis features from the latest release of our flagship product is being explicitly linked with one of the most googled terms in the history of time (probably).

“Just four years later (Lambda was launched at re:Invent 2014) it is clear that the serverless model is here to stay. Today, Lambda processes trillions of executions for hundreds of thousands of active customers every month. Last year we extended the benefits of serverless to containers with the launch of AWS Fargate, which now runs tens of millions of containers for AWS customers every week.”

Why I suspect this played: The cool kids probably thought there would never be an exciting announcements again. We thought it had all been figured out; turns out we were wrong.

As We May Kube*

“Now, the expectation of a developer coming from a “traditional” environment to Kubernetes is in general that their natural and well-known workflow changes as little as possible. This article reviews where we stand in Kubernetes-land concerning developing apps and where we may be heading.”

Why I suspect this played: As an exploration of one developer’s take on the extent to which Kubernetes does (or does not) live up to his expectations, this post is a great read. It is also provides some good reasons to look at an enterprise Kubernetes distribution to address some of the gaps he notes.

The Inner Workings of Istio

Istio in Action teaches you how to implement a full-featured Istio-based service mesh to manage a microservices application. With the skills you learn in this comprehensive tutorial, you’ll be able to delegate the complex infrastructure of your cloud-native applications to Istio!”

Why I suspect this played: This is actually an image from one of our esteemed colleague’s books. A visual representation of what Istio actually does is helpful to anyone who got as far as “sidecar” and scratched their heads.

“There are more than 30 self-service, self-paced digital courses with more than 45 hours of courses, videos, and labs for four key groups: developers, data scientists, data platform engineers, and business professionals. Each course starts with the fundamentals, and builds on those through real-world examples and labs, allowing developers to explore machine learning through some fun problems we have had to solve at Amazon.”

Why I suspect this played: Amazon is notoriously ruthless in it’s application of machine learning techniques to improve customer experiences. Who wouldn’t want to take a literal page from their figurative book.

Those stories got the most attention last week; subscribe to find out what we read this week (along with the other stuff I publish).

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