Comment by hartmel | Hacker News Reader

Comment by hartmel | Hacker News Reader

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Then you will want to manage the configuration file and to browse logs, and you ll have to mount files to you container. And your deployment start to reimplement (a subset to your needs) what distros did System integration complexity didn't disappear thanks to containers. It was just moved to another place. I dd add that, being convenient for developers doesn't mean it's convenient for hosting management. At the end, when one side convenience is taken in consideration, it often translate to complexity and pain at the other side. K8S become in some companies more a mandatory runtime requirement than a hosting commodity/facility.

As a (former) developer I d rather ran redis in a container during development, but for production I d rather rely on boring VMs unless some scaling is required. (Managed k8s case set apart)

> Then you will want to manage the configuration file and to browse logs, and you ll have to mount files to you container. And your deployment start to reimplement (a subset to your needs) what distros did System integration complexity didn't disappear thanks to containers.

Agree, but my view on this is that the implicit answer of how you do all that (i.e. the file system, syslog) is now gone. There will be pain (complexity) in the short term, but at the end of the day, we're going to be able to build much better orchestration and systems. To kind of restate that, before you had to worry where a process wrote out it's output (stdout? /var/log/<program>? /etc/<program>/logs? /home/<user>/<program>/logs? syslog?), now you know want to get the non-stdout/stderr logs of the thing you're running, you'd better give it a volume to write to (which may be fake, and actually write everything to some remote storage or something), and I think that's a step forward.

Of course, I'm not saying containers should go everywhere -- relying on boring VMs over containers is fine too -- but I think rich world of functionality available to container-driven workflows is popular for good and bad reasons, and the good reasons are worth exploring/beneficial to me.

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