Live and let Learn

This is part two of a series detailing the steps required to run Kubeapps on a VMware TKG management cluster (on AWS) configured to allow users to deploy applications to multiple workload clusters, using the new multicluster support in Kubeapps. Though details will differ, a similar configuration works on other non-TKG multicluster setups as well. The first post described setting up your VMware TKG management cluster with two OpenIDConnect-enabled workload clusters. [Read More]

Andres and I have been doing quite a bit of feature work in Kubeapps over the past months at VMware and one of the key features that I’ve been working on personally is enabling Kubeapps users to deploy applications not only on the cluster on which Kubeapps is installed, but to multiple other clusters as well. Enter VMware Tanzu Kubernetes Grid (TGK): an “Enterprise-ready Kubernetes runtime which streamlines operations across multi-cloud infrastructure”, so naturally I was keen to test out running Kubeapps on TKG and deploying applications to a set of TKG-managed clusters. [Read More]

I’m currently travelling at nearly 300km/h through the Spanish country-side on my way to Seville to meet some of the Bitnami team, but it’s not the speed which has me surprised, but the willingness of people to engage with total nearby strangers.

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I recently purchased a Dell XPS13 (9365) (thanks to Bitnami for whom I now work) which comes with Windows 10 preinstalled. I was aware when purchasing that suspend on Linux is not yet working (thanks David Farrell. As of Aug 2017 suspend is fixed, see below), as well as other functionality (autorotate, pen integration etc.) and so was keen to have a few options to work on this machine

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