# syntax=docker/dockerfile:1 # ============================================================ # AIOps Backend + Agent 多阶段 Dockerfile (BuildKit 加速版) # Stage 1: 编译后端 (Go 1.24) # Stage 2: 交叉编译 Agent (Go 1.24, linux-amd64/arm64 + darwin-arm64) # Stage 3: 运行时 (Alpine 3.20 固定版本) # 署名 Logan.Li # ============================================================ # 构建参数 — 版本号通过 git tag 或环境变量注入 ARG VERSION=dev ARG BUILD_TIME=unknown # ==================== Stage 1: Backend Builder ==================== FROM golang:1.24-alpine AS builder WORKDIR /app # 使用国内 Alpine 镜像源加速 // Logan.Li RUN sed -i 's|dl-cdn.alpinelinux.org|mirrors.tuna.tsinghua.edu.cn|g' /etc/apk/repositories RUN apk add --no-cache git ca-certificates tzdata ENV TZ=Asia/Shanghai ENV GOPROXY=https://goproxy.cn,direct ENV GONOSUMCHECK=* ENV GOMODCACHE=/go/pkg/mod ENV GOCACHE=/root/.cache/go-build # 复制后端 go.mod(利用 Docker 层缓存) COPY backend/go.mod backend/go.sum ./ # --mount=type=cache 让 go mod download 的结果跨构建复用 // Logan.Li RUN --mount=type=cache,target=/go/pkg/mod \ --mount=type=cache,target=/root/.cache/go-build \ go mod download # 复制后端源码 COPY backend/ ./ # 构建后端二进制(注入版本号)— cache mount 让增量编译极快 RUN --mount=type=cache,target=/go/pkg/mod \ --mount=type=cache,target=/root/.cache/go-build \ CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build \ -ldflags="-w -s -X main.Version=${VERSION} -X main.BuildTime=${BUILD_TIME}" \ -o aiops ./cmd/ # ==================== Stage 2: Agent Builder ==================== FROM golang:1.24-alpine AS agent-builder ARG VERSION ARG BUILD_TIME WORKDIR /agent ENV GOPROXY=https://goproxy.cn,direct ENV GOSUMDB=off ENV GOMODCACHE=/go/pkg/mod ENV GOCACHE=/root/.cache/go-build # 复制 agent go.mod COPY agent/go.mod agent/go.sum ./ RUN --mount=type=cache,target=/go/pkg/mod \ --mount=type=cache,target=/root/.cache/go-build \ go mod download # 复制 agent 源码 COPY agent/ ./ # 交叉编译三个平台的 agent 二进制(注入版本号) RUN --mount=type=cache,target=/go/pkg/mod \ --mount=type=cache,target=/root/.cache/go-build \ CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build -ldflags="-s -w -X main.version=${VERSION} -X main.buildTime=${BUILD_TIME}" -o bin/aiops-agent-linux-amd64 . && \ CGO_ENABLED=0 GOOS=linux GOARCH=arm64 go build -ldflags="-s -w -X main.version=${VERSION} -X main.buildTime=${BUILD_TIME}" -o bin/aiops-agent-linux-arm64 . && \ CGO_ENABLED=0 GOOS=darwin GOARCH=arm64 go build -ldflags="-s -w -X main.version=${VERSION} -X main.buildTime=${BUILD_TIME}" -o bin/aiops-agent-darwin-arm64 . # ==================== Stage 3: Runtime ==================== # 固定版本避免 :latest 每次变动导致全量 cache 失效 // Logan.Li FROM alpine:3.20 # 使用国内 Alpine 镜像源加速 // Logan.Li RUN sed -i 's|dl-cdn.alpinelinux.org|mirrors.tuna.tsinghua.edu.cn|g' /etc/apk/repositories # 安装运行时依赖(核心最小集,重型工具改为懒加载)// Logan.Li # bash=kubectl交互终端, curl=健康检查, git=流水线代码拉取, docker-cli=镜像构建推送 # kubectl=预装(~50MB,K8s交互终端必需),maven/nodejs/helm → 工具配置Tab懒加载 # Pod文件浏览/exec 通过 WebSocket channel 协议直连 K8s API,无需 kubectl RUN --mount=type=cache,target=/var/cache/apk \ apk add ca-certificates tzdata bash curl git docker-cli docker-cli-buildx # kubectl 预装(~50MB,本地打包进镜像,避免 Docker build 时网络下载)// Logan.Li COPY backend/kubectl /usr/local/bin/kubectl RUN chmod +x /usr/local/bin/kubectl # npm 淘宝镜像加速(node 懒加载后生效) RUN npm config set registry https://registry.npmmirror.com 2>/dev/null || true # Maven 阿里云镜像加速(maven 懒加载后生效) RUN mkdir -p /root/.m2 && \ echo 'aliyuncentralAliyun Mavenhttps://maven.aliyun.com/repository/public' > /root/.m2/settings.xml ENV TZ=Asia/Shanghai WORKDIR /app # 复制后端二进制 COPY --from=builder /app/aiops . # 创建运行时目录(agent 二进制 + 安装脚本) RUN mkdir -p /app/agent/bin /app/agent/deploy # 复制 agent 二进制(三个平台) COPY --from=agent-builder /agent/bin/aiops-agent-linux-amd64 /app/agent/bin/ COPY --from=agent-builder /agent/bin/aiops-agent-linux-arm64 /app/agent/bin/ COPY --from=agent-builder /agent/bin/aiops-agent-darwin-arm64 /app/agent/bin/ # 复制 agent 安装脚本和 systemd service 模板 COPY agent/deploy/install.sh /app/agent/deploy/ COPY agent/deploy/aiops-agent.service /app/agent/deploy/ # 启动脚本(注入 hosts DNS 缓存) COPY backend/entrypoint.sh /app/ RUN chmod +x /app/entrypoint.sh EXPOSE 8080 HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \ CMD curl -f http://localhost:8080/health || exit 1 CMD ["./entrypoint.sh"]