# Push Package #2 Docker

```yaml
name: Publish Docker image

on:
  release:
    types: [published]
    # Bu workflow, bir "release" yayınlandığında ("published") tetiklenecek.

jobs:
  push_to_registry:
    name: Push Docker image to Docker Hub
    runs-on: ubuntu-latest
    # Job, Ubuntu ortamında çalışacak.

    steps:
      - name: Check out the repo
        uses: actions/checkout@v4
        # Kodları runner'a indir, Dockerfile gibi dosyalara erişimi sağlar.

      - name: Log in to Docker Hub
        uses: docker/login-action@4ef78c080cd8ba55a85445d5b36e214a81df20a
        with:
          username: ${{ secrets.DOCKER_USERNAME }}
          password: ${{ secrets.DOCKER_PASSWORD }}
          # Docker Hub'a giriş yapabilmek için kullanıcı adı ve parola,
          # GitHub Secrets içinden alınıyor.

      - name: Extract metadata (tags, labels) for Docker
        id: meta
        uses: docker/metadata-action@9c57ed1fcdbf14dcef7dfbe97b2010124a938b7
        with:
          images: my-docker-hub-namespace/my-docker-hub-repository
          # Bu action, imaj için otomatik tag ve label oluşturuyor;
          # outputs.tags, outputs.labels olarak sonraki adıma iletir.

      - name: Build and push Docker image
        uses: docker/build-push-action@3b5e8027fcad23fda98b2e3ac259d8d67585f671
        with:
          context: .
          file: ./Dockerfile
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
          # Bu adımda Docker imajı build edilir ve Docker Hub'a push yapılır.
          # Tag/label bilgileri "meta" adımının çıktısından alınır.
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://note.onurbolatoglu.com/github-actions/push-package-2-docker.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.