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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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