Merge pull request #21226 from docker/published-update

publish updates from main

Author: aevesdocker

content/contribute/components/badges.md

@@ -18,7 +18,7 @@ You can also make a badge a link.
 
 ### Usage guidelines
 
-We use badges to indicate new content and product content in various stages of the release lifcycle: 
+We use badges to indicate new content and product content in various stages of the release lifecycle: 
 
 - The violet badge to highlight new early access or experimental content 
 - The blue badge to highlight beta content 

content/guides/docker-build-cloud/dev.md

@@ -1,6 +1,6 @@
 ---
 title: "Demo: set up and use Docker Build Cloud in development"
-description: Learn how to use Docker Buld Cloud for local builds.
+description: Learn how to use Docker Build Cloud for local builds.
 weight: 20
 ---
 

content/guides/genai-pdf-bot/containerize.md

@@ -2,7 +2,7 @@
 title: Containerize a generative AI application
 linkTitle: Containerize your app
 weight: 10
-keywords: python, generative ai, genai, llm, neo4j, ollama, containerize, intitialize, langchain, openai
+keywords: python, generative ai, genai, llm, neo4j, ollama, containerize, initialize, langchain, openai
 description: Learn how to containerize a generative AI (GenAI) application.
 aliases:
   - /guides/use-case/genai-pdf-bot/containerize/

content/guides/genai-pdf-bot/develop.md

@@ -106,7 +106,7 @@ When running Ollama in a container, you should have a CUDA-supported GPU. While
 To run Ollama in a container and provide GPU access:
 
 1. Install the prerequisites.
-   - For Docker Engine on Linux, install the [NVIDIA Container Toolkilt](https://github.com/NVIDIA/nvidia-container-toolkit).
+   - For Docker Engine on Linux, install the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-container-toolkit).
    - For Docker Desktop on Windows 10/11, install the latest [NVIDIA driver](https://www.nvidia.com/Download/index.aspx) and make sure you are using the [WSL2 backend](/manuals/desktop/wsl/_index.md#turn-on-docker-desktop-wsl-2)
 2. Add the Ollama service and a volume in your `compose.yaml`. The following is
    the updated `compose.yaml`:

content/guides/java/containerize.md

@@ -153,7 +153,7 @@ RUN java -Djarmode=layertools -jar target/app.jar extract --destination target/e
 # The example below uses eclipse-turmin's JRE image as the foundation for running the app.
 # By specifying the "17-jre-jammy" tag, it will also use whatever happens to be the
 # most recent version of that tag when you build your Dockerfile.
-# If reproducability is important, consider using a specific digest SHA, like
+# If reproducibility is important, consider using a specific digest SHA, like
 # eclipse-temurin@sha256:99cede493dfd88720b610eb8077c8688d3cca50003d76d1d539b0efc8cca72b4.
 FROM eclipse-temurin:17-jre-jammy AS final
 

content/guides/jupyter.md

@@ -126,7 +126,7 @@ managed by Docker.
 When you remove a container, all data in that container is deleted. To save
 notebooks outside of the container, you can use a [volume](/engine/storage/volumes/).
 
-### Run a JupterLab container with a volume
+### Run a JupyterLab container with a volume
 
 To start the container with a volume, open a terminal and run the following command
 
@@ -378,7 +378,7 @@ To share your image and data, you'll use [Docker Hub](https://hub.docker.com/).
 Other users can now download and run your image using the `docker run` command. They need to replace `YOUR-USER-NAME` with your Docker ID.
 
 ```console
-$ docker run --rm -p 8889:8888 YOUR-USER-NAME/my-jupyer-image start-notebook.py --NotebookApp.token='my-token'
+$ docker run --rm -p 8889:8888 YOUR-USER-NAME/my-jupyter-image start-notebook.py --NotebookApp.token='my-token'
 ```
 
 ### Share your volume

content/guides/rag-ollama/containerize.md

@@ -2,7 +2,7 @@
 title: Containerize a RAG application
 linkTitle: Containerize your app
 weight: 10
-keywords: python, generative ai, genai, llm, ollama, containerize, intitialize, qdrant
+keywords: python, generative ai, genai, llm, ollama, containerize, initialize, qdrant
 description: Learn how to containerize a RAG application.
 aliases:
   - /guides/use-case/rag-ollama/containerize/

content/guides/rust/develop.md

@@ -147,7 +147,7 @@ For the sample application, you'll use a variation of the backend from the react
    # The example below uses the debian bullseye image as the foundation for    running the app.
    # By specifying the "bullseye-slim" tag, it will also use whatever happens to    be the
    # most recent version of that tag when you build your Dockerfile. If
-   # reproducability is important, consider using a digest
+   # reproducibility is important, consider using a digest
    # (e.g.,    debian@sha256:ac707220fbd7b67fc19b112cee8170b41a9e97f703f588b2cdbbcdcecdd8af57).
    FROM debian:bullseye-slim AS final
 

content/manuals/_index.md

@@ -31,7 +31,7 @@ params:
     link: /extensions/
   services:
   - title: Docker Hub
-    description: Discover, share, and integrate container images
+    description: Discover, share, and integrate container images.
     icon: hub
     link: /docker-hub/
   - title: Docker Scout

content/manuals/build/bake/_index.md

@@ -13,7 +13,7 @@ Bake is an experimental feature, and we are looking for
 
 {{% /experimental %}}
 
-Bake is a feature of Docker Buildx that lets you define your build configuraton
+Bake is a feature of Docker Buildx that lets you define your build configuration
 using a declarative file, as opposed to specifying a complex CLI expression. It
 also lets you run multiple builds concurrently with a single invocation.