Kubeflow is a machine learning toolkit for Kubernetes where users can develop, deploy, and manage ML workflows in a scalable and portable manner. Deploying and maintaining it can be a bit tricky since Kubeflow is composed of many components such as notebooks and pipelines and their potential configurations. This makes the barrier to entry to Kubeflow very high and make it difficult for teams to...
In an effort to automate tasks for our users we ended up creating a cloud (kind of). In this talk we will describe our journey towards automation, and how we accidentally created a Cloud on our Cloud and why we chose go to do it all. Part of the job of a Developer Advocate is the ability to demo or show off portions of your technology stack to possible users. At IBM we run many workshops and...
Kubernetes makes it possible to run containerized application at scale. It solves many problems of microservice architecture by abstracting away things like container deployment, container-to-container communication, load balancing. While Kubernetes is great at it many things, it seems to be lacking in terms of security. It has some security features but in most respect it is not production...
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