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optimize docker images

See original GitHub issue

I would like to introduce a few optimizations of Docker images across the three service repos:

Reduce image size by switching to python:3-slim as base image, e.g. Airflow does this as well - this means even quicker Quickstart
Increase caching to speed up builds (mostly by eliminating pypi/npm dependency pulls and builds)
Add Gunicorn similar to what’s already introduced in https://github.com/lyft/amundsenmetadatalibrary/pull/66 to allow for a more production ready config (Werkzeug still possible if someone is using it)

This issue mostly to have a common place to link to for discussion etc.

Issue Analytics

State:
Created 4 years ago
Comments:5 (4 by maintainers)

Top GitHub Comments

1reaction

jornhcommented, Sep 26, 2019

According to https://hub.docker.com/r/amundsendev/amundsen-metadata/tags version 1.1.1 of metadata is 72 MB in compressed size. In comparison v1.0.19 was 347 MB.

This means only 1/4 download size for Amundsen Quickstart images.

0reactions

jornhcommented, Oct 21, 2019

Merge of PR #123 is set up to automatically close it. So we’re close now with FE 1.1.0 tagged and pushed to docker!