Reduce Docker Image size from 864.8 MB to 465.3 MB about docker-graphite-statsd

[deniszh]

Hello @davecoutts,
Thanks a lot for your contribution to the project, much appreciated!
Unfortunately, we can't easily remove gcc, dev libraries and python sources from the target image, because currently it can be needed to make offline Graphite installation if /opt/graphite directory is mounted by docker and empty - https://github.com/graphite-project/docker-graphite-statsd/blob/master/conf/etc/my_init.d/01_conf_init.sh#L20-L22.
Probably you can copy whole /opt/graphite somewhere and copy it back instead of installation in runtime, which is possible, but require some work - and it will probably consume space of final image too.
I have no big interest in the reducing Docker images' size per se, but, of course, I will gladly accept PR if it will not break too much of existing functionality of the image.

[davecoutts]

Hi @deniszh
Oh I see. I hadn't appreciated the image had that functionality.
The size optimisations I have applied will certainly break the setup where local volumes are mounts.
I'm going to close this issue as what I have suggested is not appropriate in this case.
Thanks.

[deniszh]

Hi @davecoutts ,
I made similar PR using your idea, but using multistage build instead - #56
Thanks!

[davecoutts]

Hi Denis Good job. I like the multistage approach. I came across dive the other day. It seems a very good tool for gauging image bloat. https://github.com/wagoodman/dive https://github.com/wagoodman/dive/releases Your new image scores very well at 88% when tested with dive. sudo dive docker-graphite-statsd:latest Regards Dave

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On Sat, 27 Oct 2018 at 23:13, Denis Zhdanov ***@***.***> wrote: Hi @davecoutts <https://github.com/davecoutts> , I made similar PR using your idea, but using multistage build instead - #56 <#56> Thanks! — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#51 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAdj0hdMVAFSc_VPlnT7sR6Y-CYuFhrZks5upNqPgaJpZM4W1vIU> .

[deniszh]

Nice tool, thanks, @davecoutts !