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#kubernetes

Interview series with JAX DevOps speakers — Part 4

The road to serverless maturity: Running away from “NoOps” or toward it?

Serverless has grown considerably in the past few years but is it ready to embrace its maturity? And does that mean running away from NoOps or toward it? In the last part of our interview series, we invited six JAX DevOps speakers to weigh in on the serverless movement, its “competition” with container-based cloud infrastructure and the challenges Kubernetes and Docker should be addressing this year.

Ending the year with a bang

Kubernetes 1.9 is here

The fourth and final Kubernetes release of 2017 is here. Kubernetes 1.9 brings a bunch of changes, including the fact that the Apps Workloads API is now stable. Let’s have a look at the highlights.

Interview with Jesper Richter-Reichhelm

Machine Learning as a microservice in a Docker container on a Kubernetes cluster — say what?

It is always fascinating to see the versatile ways in which machine learning can be used. At Outfittery, algorithms help the experts select the most suitable outfits for customers — quite literally. In an interview at W-JAX 2017 in Munich, Jesper Richter-Reichhelm, CTO at Outfittery GmbH, explains how the company uses machine learning and which frameworks they use. He also tells us who makes better suggestions — human beings or machines.

Third release this year

Kubernetes 1.8 brings security and stability improvements

This release is *not* about introducing new features — instead, its aim is to strengthen existing ones. In short, Kubernetes 1.8 “represents a snapshot of many exciting enhancements and refinements underway.” Let’s see some of the highlights.

Look ma, no servers!

Kubernetes goes serverless in Kubeless

Looking for a serverless option for Kubernetes? Introducing Kubeless. This new Kubernetes-native serverless framework provides auto-scaling, API routing, and more without having to worry about the underlying infrastructure.

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