Process
In general, the process to build a multi-cpu architecture container image follows the flow depicted on the following figure.
The commands to needed to implement the flow are described, using an example, in the next section.
| Gliffy Diagram | ||||
|---|---|---|---|---|
|
...
Following are the commands you need to create a multi-cpu architecture container image. Let's call the image onap/multi-cpu-app-py
Note that this flow can be used during the ONAP development-test-debug process. For the release process, the flow is implemented using CI/CD pipelines as shown in the next section.
Build arm image (A)
| Code Block |
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docker build -t onap/app-py-arm-linux . |
...
| Code Block |
|---|
[
{
"Ref": "docker.io/orangemonk/app-py-amd-linux:latest",
"Descriptor": {
"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
"digest": "sha256:4b1b8361d47770668ff4c728dc388f376158d9e8d82c0b4cdb22147cc8ca1be6",
"size": 1579,
"platform": {
"architecture": "amd64",
"os": "linux"
}
},
"SchemaV2Manifest": {
"schemaVersion": 2,
"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
"config": {
"mediaType": "application/vnd.docker.container.image.v1+json",
"size": 6616,
"digest": "sha256:f2947f4a0e9d5d0a4ccf74a7b3ad94611a8921ca022b154cabcad9e453ea6ec5"
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}
]
}
},
{
"Ref": "docker.io/orangemonk/app-py-arm-linux:latest",
"Descriptor": {
"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
"digest": "sha256:8a06f997353177dae82d7e01bc3893b2f05c6ac27b317655df3ca2287f9b83a9",
"size": 1786,
"platform": {
"architecture": "arm64",
"os": "linux"
}
},
"SchemaV2Manifest": {
"schemaVersion": 2,
"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
"config": {
"mediaType": "application/vnd.docker.container.image.v1+json",
"size": 6864,
"digest": "sha256:b097a21c92a9a0dde06f9b36bf10def56a028b3b9b1617d6d6c6a8559d14d9d7"
},
"layers": [
{
"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
"size": 2099514,
"digest": "sha256:47e04371c99027fae42871b720fdc6cdddcb65062bfa05f0c3bb0a594cb5bbbd"
},
{
"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
"size": 176,
"digest": "sha256:b4103359e1ecd9a7253d8b8a041d4e81db1ff4a5e1950bc0e02305d221c9e6c2"
},
{
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"size": 308518,
"digest": "sha256:92079a442932f09a622f4a0f863e5cc2f6e0471a98e5121fa719d2a276440386"
},
{
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"size": 18605961,
"digest": "sha256:f1fc35806f46347993a2cd1eb7f7dd7837b0bef0392c8e2c973b24c02ad874a9"
},
{
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"size": 1786389,
"digest": "sha256:c2983ee3d71107a9a0bc1996fc3a58e050026995fad4aee9d72539153db1df3d"
},
{
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"size": 391,
"digest": "sha256:44c3eae5ed66bb040727a64fd78573fe6cc4a94a9317d5cd6f39e53332c2ae21"
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"digest": "sha256:8daa79c3024a565c320ff69990ad48273937cc3f6f0cdb324e086c268cf6245e"
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]
}
}
]
|
Building Multi-CPU container images using CI/CD pipelines
The following diagram depicts a CI/CD flow that implements the production of multi-cpu architecture container images.
Although the flow shows a pipeline for two branches: arm-linux and intel-linux, the model can be extended --given the hardware and software resources-- to any number of platforms.