Jenkins Using result artifacts in different steps - stash and unstash - jenkins

Question

I have a Jenkinsfile declarative pipeline which has two steps:
build an RPM file inside a docker container
build a docker image with the RPM and run it
The first step is built inside a docker container because it require a specific app to build the RPM.
The second step is run directly on a Jenkins slave, can be other slave than the slave which ran the first step.
In order to use the RPM produced by the first step I'm currently using stash and unstash steps. If I do not use them the second step doesn't have access to the RPM file.
The RPM file is about 215MB which is more than the 100MB recommended limit so I'll like to know if there is a better solution?
pipeline {
agent any
options {
timestamps()
}
stages {
stage('Gradle: build') {
agent {
docker {
image 'some-internal-image'
}
}
steps {
sh """
chmod +x gradlew
./gradlew buildRpm
"""
}
post {
success {
stash name: 'rpm', includes: 'Server/target/myapp.rpm'
}
}
}
stage('Gradle: build docker image') {
steps {
unstash 'rpm'
sh """
chmod +x gradlew
./gradlew buildDockerImage
"""
}
}
}
}

Answer 1

You could use docker's multi-stage build, but I'm not aware of a nice implementation using Jenkins Pipelines.
We're stashing also several hundreds of megabytes to distribute it to build agents. I've experimented with uploading the artifacts to S3 and downloading them again from there with now visible performance improvement (only that it takes off load from the Jenkins Master).
So my very opinionated recommendation: Keep it like it is and optimize, once you really run into performance / load issues.

Answer 2

you can use Artifactory or any other binary repository manager..
From Artifactory's webpage:
As the first, and only, universal Artifact Repository Manager on the
market, JFrog Artifactory fully supports software packages created by
any language or technology.
...
...Artifactory provides an end-to-end, automated and bullet-proof
solution for tracking artifacts from development to production.