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In a normal production environment monitoring your application’s output inside a running container should be very straightforward. Logs are usually collected from stdout and made visible in Kibana and your metrics are safely pushed to some time-based storage  (such as Graphite) and then accessible via tools like Grafana.

So far goes the theory – and then there is real life. Remember this one dynamic machine you’re qa’ing on or a shadow instance that you quickly set up a week ago? And all over sudden you find yourself in the situation where you have to debug running code. „In Situ Debugging in k8s & docker Environments“ weiterlesen

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Setting up minikube on a Windows 10 computer is (in theory) the most easy thing to do since Hyper-V already does the virtualization and there is no additional software to be installed. Yay.

Where it really gets hairy are a few things that might not run out of the box right away and I’ll try to give you the shortest guide possible here to get minikube up and running on your machine.

„Run k8s minikube on Windows 10 with Hyper-V“ weiterlesen

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