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Merge pull request kubernetes-sigs#30 from ardaguclu/add-prow-dockerfile
<CARRY>: CNTRLPLANE-211: Add Prow Dockerfile and Update Konflux Dockerfile accordingly
2 parents 2cbb936 + 7404596 commit 4dc2ae6

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‎.ci-operator.yaml

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build_root_image:
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namespace: openshift
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name: release
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tag: rhel-9-release-golang-1.23-openshift-4.19

‎Dockerfile.ci

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ARG BUILDER_IMAGE=registry.ci.openshift.org/ocp/builder:rhel-9-golang-1.23-openshift-4.19
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ARG BASE_IMAGE=registry.ci.openshift.org/ocp/builder:rhel-9-base-openshift-4.19
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# Build the manager binary
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FROM ${BUILDER_IMAGE} AS builder
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ARG TARGETOS
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ARG TARGETARCH
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ARG TARGETPLATFORM
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ENV GOEXPERIMENT=strictfipsruntime
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WORKDIR /workspace
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COPY . .
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RUN CGO_ENABLED=1 GOOS=${TARGETOS:-linux} GOARCH=${TARGETARCH} go build -tags strictfipsruntime -mod=vendor -a -o manager cmd/main.go
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FROM --platform=$TARGETPLATFORM ${BASE_IMAGE}
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WORKDIR /
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COPY --from=builder /workspace/manager .
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RUN mkdir /licenses
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COPY --from=builder /workspace/LICENSE /licenses/.
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USER 65532:65532
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LABEL com.redhat.component="Leader Worker Set"
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LABEL name="lws"
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LABEL release="0.5.1"
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LABEL version="0.5.1"
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LABEL url="https://github.com/openshift/kubernetes-sigs-lws"
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LABEL vendor="Red Hat, Inc."
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LABEL description="LeaderWorkerSet: An API for deploying a group of pods as a unit of replication. \
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It aims to address common deployment patterns of AI/ML inference workloads, \
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especially multi-host inference workloads where the LLM will be sharded \
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and run across multiple devices on multiple nodes."
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LABEL io.k8s.description="LeaderWorkerSet: An API for deploying a group of pods as a unit of replication. \
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It aims to address common deployment patterns of AI/ML inference workloads, \
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especially multi-host inference workloads where the LLM will be sharded \
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and run across multiple devices on multiple nodes."
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LABEL summary="LeaderWorkerSet: An API for deploying a group of pods as a unit of replication. \
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It aims to address common deployment patterns of AI/ML inference workloads, \
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especially multi-host inference workloads where the LLM will be sharded \
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and run across multiple devices on multiple nodes."
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LABEL io.k8s.display-name="Leader Worker Set"
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LABEL io.openshift.tags="openshift,operator,leaderworkerset,lws"
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ENTRYPOINT ["/manager"]

‎Dockerfile.ocp

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ARG BUILDER_IMAGE=brew.registry.redhat.io/rh-osbs/openshift-golang-builder:rhel_9_1.23
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ARG BASE_IMAGE=registry.redhat.io/rhel9-4-els/rhel:9.4
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ARG BASE_IMAGE=registry.redhat.io/rhel9-4-els/rhel-minimal:9.4
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# Build the manager binary
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FROM ${BUILDER_IMAGE} AS builder
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FROM --platform=${BUILDPLATFORM} ${BUILDER_IMAGE} as builder
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ARG TARGETOS
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ARG TARGETARCH
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ARG TARGETPLATFORM
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ENV GOEXPERIMENT=strictfipsruntime
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WORKDIR /workspace
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COPY . .
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# Build
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# the GOARCH has not a default value to allow the binary be built according to the host where the command
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# was called. For example, if we call make docker-build in a local env which has the Apple Silicon M1 SO
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# the docker BUILDPLATFORM arg will be linux/arm64 when for Apple x86 it will be linux/amd64. Therefore,
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# by leaving it empty we can ensure that the container and binary shipped on it will have the same platform.
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RUN CGO_ENABLED=${CGO_ENABLED:-1} GOOS=${TARGETOS:-linux} GOARCH=${TARGETARCH} go build -a -o manager cmd/main.go
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RUN CGO_ENABLED=1 GOOS=${TARGETOS:-linux} GOARCH=${TARGETARCH} go build -tags strictfipsruntime -mod=vendor -a -o manager cmd/main.go
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FROM ${BASE_IMAGE}
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FROM --platform=$TARGETPLATFORM ${BASE_IMAGE}
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WORKDIR /
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COPY --from=builder /workspace/manager .
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RUN mkdir /licenses
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COPY --from=builder /workspace/LICENSE /licenses/.
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USER 65532:65532
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LABEL com.redhat.component="Leader Worker Set"
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LABEL name="lws"
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LABEL release="0.5.1"
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LABEL version="0.5.1"
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LABEL url="https://github.com/openshift/kubernetes-sigs-lws"
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LABEL vendor="Red Hat, Inc."
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LABEL description="LeaderWorkerSet: An API for deploying a group of pods as a unit of replication. \
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It aims to address common deployment patterns of AI/ML inference workloads, \
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especially multi-host inference workloads where the LLM will be sharded \
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and run across multiple devices on multiple nodes."
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LABEL io.k8s.description="LeaderWorkerSet: An API for deploying a group of pods as a unit of replication. \
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It aims to address common deployment patterns of AI/ML inference workloads, \
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especially multi-host inference workloads where the LLM will be sharded \
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and run across multiple devices on multiple nodes."
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LABEL summary="LeaderWorkerSet: An API for deploying a group of pods as a unit of replication. \
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It aims to address common deployment patterns of AI/ML inference workloads, \
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especially multi-host inference workloads where the LLM will be sharded \
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and run across multiple devices on multiple nodes."
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LABEL io.k8s.display-name="Leader Worker Set"
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LABEL io.openshift.tags="openshift,operator,leaderworkerset,lws"
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ENTRYPOINT ["/manager"]

‎OWNERS

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# See the OWNERS docs at https://go.k8s.io/owners
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reviewers:
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- ardaguclu
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- atiratree
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- kannon92
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- mrunalp
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approvers:
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- ardaguclu
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- atiratree
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- kannon92
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- mrunalp
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component: "kubernetes-sigs-lws"

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