},
  "features": {
    "ghcr.io/devcontainers/features/docker-outside-of-docker:1": {},
    "ghcr.io/mpriscella/features/kind:1": {}
  },
  "customizations": {
    "vscode": {
      "extensions": [
        "golang.go",
        "rust-lang.rust-analyzer",
        "eamodio.gitlens",
        "zxh404.vscode-proto3",
        "ms-azuretools.vscode-docker",
        "redhat.vscode-yaml",
        "IBM.output-colorizer"

source "${KUBE_ROOT}/hack/lib/util.sh"

# allow overriding docker cli, which should work fine for this script
DOCKER="${DOCKER:-docker}"

# required version for this script, if not installed on the host we will
# use the official docker image instead. keep this in sync with SHELLCHECK_IMAGE
SHELLCHECK_VERSION="0.9.0"

### Full Stack FastAPI PostgreSQL - Özellikler

* Full **Docker** entegrasyonu (Docker based).
* Docker Swarm Mode ile deployment.
* **Docker Compose** entegrasyonu ve lokal geliştirme için optimizasyon.
* Uvicorn ve Gunicorn ile **Production ready** Python web server'ı.

      version: v1
  template:
    metadata:
      labels:
        app: details
        version: v1
    spec:
      serviceAccountName: bookinfo-details
      containers:
      - name: details
        image: docker.io/istio/examples-bookinfo-details-v1:1.20.1
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 9080
        securityContext:
          allowPrivilegeEscalation: false
          capabilities:

      version: v1
  template:
    metadata:
      labels:
        app: details
        version: v1
    spec:
      serviceAccountName: bookinfo-details
      containers:
      - name: details
        image: docker.io/istio/examples-bookinfo-details-v1:1.20.1
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 9080
---

#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#
#   You will need the NVIDIA Container Toolkit for GPU testing:
#   https://github.com/NVIDIA/nvidia-container-toolkit
#
#   Note: if you interrupt a bazel command on docker (ctrl-c), you
#   will need to run `docker exec tf pkill bazel` to quit bazel.
#

if [[ ! -f /.dockerenv ]]; then
  echo
  echo "'make release-in-a-container' can only be used from a docker container."
  echo
  exit 1
fi

# Other dependencies: Your container should contain docker
if ! type -p docker >/dev/null 2>&1; then
  echo
  echo "'make release-in-a-container' requires a container with" \
       "docker installed."
  echo
  exit 1
fi


# First run make cross-in-a-container

* **安全密码**，默认使用密码哈希
* **JWT 令牌**身份验证
* **SQLAlchemy** 模型（独立于 Flask 扩展，可直接用于 Celery Worker）
* 基础的用户模型（可按需修改或删除）
* **Alembic** 迁移
* **CORS**（跨域资源共享）
* **Celery** Worker 可从后端其它部分有选择地导入并使用模型和代码
* REST 后端测试基于 Pytest，并与 Docker 集成，可独立于数据库实现完整的 API 交互测试。因为是在 Docker 中运行，每次都可从头构建新的数据存储（使用 ElasticSearch、MongoDB、CouchDB 等数据库，仅测试 API 运行）
* Python 与 **Jupyter Kernels** 集成，用于远程或 Docker 容器内部开发，使用 Atom Hydrogen 或 Visual Studio Code 的 Jupyter 插件
* **Vue** 前端：

conformance:v1.30.2](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le),...

### registry.k8s.io/etcd docker image

Provides docker images containing etcd and etcdctl binaries for multiple etcd
version as well as a migration operator utility for upgrading and downgrading
etcd--it's data directory in particular--to a target version.

#### Versioning

Each `registry.k8s.io/etcd` docker image is tagged with an version string of the form
`<etcd-version>-<image-revision>`, e.g. `3.0.17-0`.  The etcd version is the