Enable use of gradle for all image builds for publishing, eliminating the per-image build action in docker-unified.yml that duplicated what was in gradle but used slightly different mechanisms to determine what is the tag. Enabled gradle build to consume tags provided by the workflow and produce tags same as earlier.
Use bake matrix builds to build slim/full versions of datahub-ingestion, datahub-actions.
Publish images and scan relies on gradle to get the list of images, via depot.
Image publish and scans run once a day on schedule or on manual triggers only.
Pending work: Separate the publish and scans into a separate workflow that runs on a schedule and could also run other tests.
bug(snappy): Make sure right snappy version is installed
fix(docker): update Dockerize to version v0.9.3
fix(gms): fixes dgraph4j netty deps
fix(docker): remove SGID on /home/datahub and /home/datahub-integration
fix(datahub-actions): bump setuptools and wheel version
fix(docker): update c-ares version
fix(docker): datahub-actions addendum
* fix(security): commons-text in frontend
* refactor(restli): set threads based on cpu cores
feat(mce-consumers): hit local restli endpoint
* testing docker build
* Add retry configuration options for entity client
* Kafka debugging
* fix(kafka-setup): parallelize topic creation
* Adjust docker build
* Docker build updates
* WIP
* fix(lint): metadata-ingestion lint
* fix(gradle-docker): fix docker frontend dep
* fix(elastic): fix race condition between gms and mae for index creation
* Revert "fix(elastic): fix race condition between gms and mae for index creation"
This reverts commit 9629d12c3bdb3c0dab87604d409ca4c642c9c6d3.
* fix(test): fix datahub frontend test for clean/test cycle
* fix(test): datahub-frontend missing assets in test
* fix(security): set protobuf lib datahub-upgrade & mce/mae-consumer
* gitingore update
* fix(docker): remove platform on docker base image, set by buildx
* refactor(kafka-producer): update kafka producer tracking/logging
* updates per PR feedback
* Add documentation around mce standalone consumer
Kafka consumer concurrency to follow thread count for restli & sql connection pool
Co-authored-by: leifker <dleifker@gmail.com>
Co-authored-by: Pedro Silva <pedro@acryl.io>
