RFC: Dynamic Runtime Base Image Selection #174
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Signed-off-by: Stephen Levine <stephen.levine@gmail.com>
sclevine
changed the title
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imjasonh
reviewed
Jul 1, 2021
Signed-off-by: Stephen Levine <stephen.levine@gmail.com> Co-authored-by: Jason Hall <jasonhall@redhat.com>
Signed-off-by: Stephen Levine <stephen.levine@gmail.com>
jabrown85
reviewed
Jul 1, 2021
Signed-off-by: Stephen Levine <stephen.levine@gmail.com> Co-authored-by: Jesse Brown <jabrown85@gmail.com>
jkutner
reviewed
Jul 8, 2021
| # How it Works | ||
| [how-it-works]: #how-it-works | ||
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| Builders may specify an ordered list of runtime base images, where each entry may contain a list of runtime base image mirrors. |
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Can we include an example of what this would look like?
[[stacks]]
id = "centos"
build-image = "example/centos7-build:123"
run-image = "example/centos7-run:123"
[[stacks]]
id = "bionic"
build-image = "example/ubuntu-build:123"
run-image = "example/ubuntu-run:123"
jkutner
reviewed
Jul 8, 2021
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| Builders may specify an ordered list of runtime base images, where each entry may contain a list of runtime base image mirrors. | ||
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| Buildpacks may specify a list of package names (as [PURL URLs](https://github.com/package-url/purl-spec) without versions or qualifiers) in a `packages` table in the build plan during detection. |
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Does this mean that the lifecycle needs to be able to inspect a base image and determine what packages it includes?
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Yep, just like it works with mixins and buildpack.toml today.
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But does this mean it needs to be aware of how to do that on a particular stack (apt, yum, etc)? With mixins it can do this generically.
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The PURL URLs in the CycloneDX-formatted SBoM provide a generic abstraction for this.
jkutner
reviewed
Jul 8, 2021
Signed-off-by: Stephen Levine <stephen.levine@gmail.com> Co-authored-by: Joe Kutner <jpkutner@gmail.com>
This was referenced Jul 21, 2021
nebhale
approved these changes
Jul 21, 2021
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Putting this on hold for now. #173 currently suggests an alternative implementation. |
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Readable
This proposal is part of a larger initiative to reduce complexity originally outlined in #167