guides: shorten summaries

Signed-off-by: David Karlsson <35727626+dvdksn@users.noreply.github.com>

content/guides/cpp/_index.md

@@ -4,9 +4,7 @@ linkTitle: C++
 description: Containerize and develop C++ applications using Docker.
 keywords: getting started, c++
 summary: |
-  This guide explains how to containerize C++ applications using Docker,
-  covering how to build Docker images, manage dependencies, and deploy C++ apps
-  efficiently in containers.
+  This guide explains how to containerize C++ applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/databases.md

@@ -3,9 +3,7 @@ description: Learn how to run, connect to, and persist data in a local container
 keywords: database, mysql
 title: Use containerized databases
 summary: |
-  Learn how to effectively run and manage databases using Docker containers,
-  with guides on setup, data persistence, networking, and best practices to
-  streamline your development and deployment processes.
+  Learn how to effectively run and manage databases as containers.
 levels: [beginner]
 subjects: [databases]
 aliases:

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

@@ -5,7 +5,7 @@ description: |
   Learn how to build and deploy Docker images to the cloud with Docker Build
   Cloud.
 summary: |
-  Create applications up to 39x faster using cloud-based resources, shared team
+  Build applications up to 39x faster using cloud-based resources, shared team
   cache, and native multi-architecture support.
 levels: [beginner]
 products: [dbc]

content/guides/docker-compose/_index.md

@@ -1,7 +1,9 @@
 ---
 title: Defining and running multi-container applications with Docker Compose
 linkTitle: Docker Compose
-summary: Simplify the process of defining, configuring, and running multi-container Docker applications to enable efficient development, testing, and deployment.
+summary: |
+  Simplify the process of defining, configuring, and running multi-container
+  Docker applications.
 description: Learn how to use Docker Compose to define and run multi-container Docker applications.
 levels: [beginner]
 products: [compose]

content/guides/docker-scout/_index.md

@@ -3,7 +3,7 @@ title: Securing your software supply chain with Docker Scout
 linkTitle: Docker Scout
 summary: |
   Enhance container security by automating vulnerability detection and
-  remediation, ensuring compliance, and protecting your development workflow.
+  remediation.
 description: |
   Learn how to use Docker Scout to enhance container security by automating
   vulnerability detection and remediation, ensuring compliance, and protecting

content/guides/dotnet/_index.md

@@ -2,7 +2,8 @@
 title: .NET language-specific guide
 linkTitle: C# (.NET)
 description: Containerize and develop .NET apps using Docker
-summary: Learn how to containerize .NET applications using Docker, including building, running, and deploying .NET apps in Docker containers, with best practices and step-by-step examples.
+summary: |
+  Learn how to containerize .NET applications using Docker.
 keywords: getting started, .net
 aliases:
   - /language/dotnet/

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

@@ -3,9 +3,8 @@ title: PDF analysis and chat
 description: Containerize generative AI (GenAI) apps using Docker
 keywords: python, generative ai, genai, llm, neo4j, ollama, langchain
 summary: |
-  This guide explains how to build a PDF bot using Docker and generative AI,
-  focusing on setting up a containerized environment for parsing PDF documents
-  and generating intelligent responses based on the content.
+  Learn how to build a PDF bot for parsing PDF documents and generating
+  responses using Docker and generative AI.
 levels: [beginner]
 subjects: [ai]
 aliases:

content/guides/genai-video-bot/index.md

@@ -4,9 +4,8 @@ linkTitle: Video transcription and chat
 description: Explore a generative AI video analysis app that uses Docker, OpenAI, and Pinecone.
 keywords: python, generative ai, genai, llm, whisper, pinecone, openai, whisper
 summary: |
-  Learn how to build and deploy a generative AI video bot using Docker, with
-  step-by-step instructions for setup, integration, and optimization to enhance
-  your AI development projects.
+  Learn how to build and deploy a generative AI video analysis and
+  transcription bot using Docker.
 subjects: [ai]
 levels: [beginner]
 aliases:

content/guides/golang/_index.md

@@ -4,10 +4,7 @@ linkTitle: Go
 description: Containerize Go apps using Docker
 keywords: docker, getting started, go, golang, language, dockerfile
 summary: |
-  This guide teaches you how to containerize Go applications using Docker,
-  covering image building, dependency management, multi-stage builds for
-  smaller images, and best practices for deploying Go apps efficiently in
-  containers.
+  This guide teaches you how to containerize Go applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/java/_index.md

@@ -4,10 +4,7 @@ linkTitle: Java
 keywords: java, getting started
 description: Containerize Java apps using Docker
 summary: |
-  This guide demonstrates how to containerize Java applications using Docker,
-  covering image building, dependency management, optimizing image size with
-  multi-stage builds, and best practices for deploying Java apps efficiently in
-  containers.
+  This guide demonstrates how to containerize Java applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/jupyter.md

@@ -4,10 +4,7 @@ keywords: getting started, jupyter, notebook, python, jupyterlab, data science
 title: Data science with JupyterLab
 toc_max: 2
 summary: |
-  This guide explains how to use Docker to run Jupyter notebooks, covering
-  image setup, container management, and best practices for creating
-  reproducible and isolated development environments for data science and
-  machine learning tasks.
+  Use Docker to run Jupyter notebooks.
 languages: [python]
 levels: [beginner]
 subjects: [data-science]

content/guides/kafka.md

@@ -4,9 +4,7 @@ keywords: kafka, container-supported development
 title: Developing event-driven applications with Kafka and Docker
 linktitle: Event-driven apps with Kafka
 summary: |
-  This guide explains how to run Apache Kafka in Docker containers, covering
-  setup, configuring Kafka clusters, managing services, and optimizing
-  deployment for real-time data streaming in a containerized environment.
+  This guide explains how to run Apache Kafka in Docker containers.
 subjects: [distributed-systems]
 languages: [js]
 levels: [intermediate]

content/guides/kube-deploy.md

@@ -6,9 +6,7 @@ aliases:
   - /get-started/kube-deploy/
   - /guides/deployment-orchestration/kube-deploy/
 summary: |
-  Learn how to deploy and orchestrate Docker containers using Kubernetes, with
-  step-by-step guidance on setup, configuration, and best practices to enhance
-  your application's scalability and reliability.
+  Learn how to deploy and orchestrate Docker containers using Kubernetes.
 subjects: [deploy]
 levels: [beginner]
 params:

content/guides/language-translation.md

@@ -5,8 +5,7 @@ keywords: nlp, natural language processing, text summarization, python, language
 description: Learn how to build and run a language translation application using Python, Googletrans, and Docker.
 summary: |
   This guide demonstrates how to use Docker to deploy language translation
-  models for NLP tasks, covering setup, container management, and running
-  translation services efficiently in a containerized environment.
+  models for NLP tasks.
 levels: [beginner]
 subjects: [ai]
 languages: [python]

content/guides/localstack.md

@@ -5,8 +5,7 @@ title: Develop and test AWS Cloud applications using LocalStack and Docker
 linktitle: AWS development with LocalStack
 summary: |
   This guide explains how to use Docker to run LocalStack, a local AWS cloud
-  stack emulator, covering setup, managing cloud service emulation, and testing
-  cloud-based applications locally in a containerized environment.
+  stack emulator.
 subjects: [cloud-services]
 languages: [js]
 levels: [intermediate]

content/guides/named-entity-recognition.md

@@ -5,9 +5,7 @@ keywords: nlp, natural language processing, named entity recognition, python, sp
 description: Learn how to build and run a named entity recognition application using Python, spaCy, and Docker.
 summary: |
   This guide explains how to containerize named entity recognition (NER) models
-  using Docker, detailing environment setup for large-scale data processing,
-  optimizing NER model deployment, and managing high-performance containerized
-  NLP workflows.
+  using Docker.
 subjects: [ai]
 languages: [python]
 levels: [beginner]

content/guides/nodejs/_index.md

@@ -4,10 +4,7 @@ linkTitle: Node.js
 description: Containerize and develop Node.js apps using Docker
 keywords: getting started, node, node.js
 summary: |
-  This guide explains how to containerize Node.js applications using Docker,
-  covering image building, dependency management, optimizing image size with
-  multi-stage builds, and best practices for deploying Node.js apps efficiently
-  in containers.
+  This guide explains how to containerize Node.js applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/orchestration.md

@@ -6,9 +6,7 @@ aliases:
   - /get-started/orchestration/
   - /guides/deployment-orchestration/orchestration/
 summary: |
-  Explore the essentials of container orchestration with Docker, including key
-  concepts, tools like Kubernetes and Docker Swarm, and practical guides to
-  efficiently deploy and manage your applications.
+  Explore the essentials of container orchestration with Docker.
 subjects: [deploy]
 levels: [beginner]
 params:

content/guides/php/_index.md

@@ -4,9 +4,7 @@ linkTitle: PHP
 description: Containerize and develop PHP apps using Docker
 keywords: getting started, php, composer
 summary: |
-  This guide explains how to containerize PHP applications using Docker,
-  covering image building, dependency management, optimizing image size, and
-  best practices for deploying PHP apps efficiently in containers.
+  This guide explains how to containerize PHP applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/python/_index.md

@@ -4,9 +4,7 @@ linkTitle: Python
 description: Containerize Python apps using Docker
 keywords: Docker, getting started, Python, language
 summary: |
-  This guide explains how to containerize Python applications using Docker,
-  covering image building, dependency management, optimizing image size, and
-  best practices for deploying Python apps efficiently in containers.
+  This guide explains how to containerize Python applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/r/_index.md

@@ -4,9 +4,7 @@ linkTitle: R
 description: Containerize R apps using Docker
 keywords: Docker, getting started, R, language
 summary: |
-  This guide details how to containerize R applications using Docker, covering
-  image building, dependency management, optimizing image size, and best
-  practices for deploying R applications efficiently in containers.
+  This guide details how to containerize R applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/rag-ollama/_index.md

@@ -5,9 +5,7 @@ title: Build a RAG application using Ollama and Docker
 linkTitle: RAG Ollama application
 summary: |
   This guide demonstrates how to use Docker to deploy Retrieval-Augmented
-  Generation (RAG) models with Ollama, covering environment setup for
-  integrating retrieval systems with generative AI models, and optimizing the
-  workflow for scalable, containerized deployments.
+  Generation (RAG) models with Ollama.
 subjects: [ai]
 levels: [beginner]
 aliases:

content/guides/ruby/_index.md

@@ -5,8 +5,7 @@ description: Containerize Ruby on Rails apps using Docker
 keywords: Docker, getting started, ruby, language
 summary: |
   This guide explains how to containerize Ruby on Rails applications using
-  Docker, covering image building, dependency management, optimizing image
-  size, and best practices for deploying Ruby apps efficiently in containers.
+  Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/rust/_index.md

@@ -4,9 +4,7 @@ linkTitle: Rust
 description: Containerize Rust apps using Docker
 keywords: Docker, getting started, Rust, language
 summary: |
-  This guide covers how to containerize Rust applications using Docker,
-  focusing on building images, managing dependencies, employing multi-stage
-  builds, and optimizing for efficient deployment in containers.
+  This guide covers how to containerize Rust applications using Docker.
 toc_min: 1
 toc_max: 2
 aliases:

content/guides/sentiment-analysis.md

@@ -5,9 +5,7 @@ keywords: nlp, natural language processing, sentiment analysis, python, nltk
 description: Learn how to build and run a sentiment analysis application using Python, NLTK, and Docker.
 summary: |
   This guide demonstrates how to containerize sentiment analysis models using
-  Docker, focusing on setting up robust environments for processing text data,
-  streamlining model deployment, and handling real-time sentiment
-  classification efficiently.
+  Docker.
 subjects: [ai]
 languages: [python]
 levels: [beginner]

content/guides/swarm-deploy.md

@@ -7,9 +7,7 @@ aliases:
   - /get-started/swarm-deploy/
   - /guides/deployment-orchestration/swarm-deploy/
 summary: |
-  Discover how to deploy and manage Docker containers using Docker Swarm, with
-  step-by-step guides on setup, scaling, networking, and best practices for
-  efficient container orchestration.
+  Discover how to deploy and manage Docker containers using Docker Swarm.
 subjects: [deploy]
 levels: [beginner]
 params:

content/guides/tensorflowjs.md

@@ -3,9 +3,7 @@ description: Learn how to deploy pre-trained models in a TensorFlow.js web appli
 keywords: tensorflow.js, machine learning, ml, mediapipe, blazeface, face detection
 title: Face detection with TensorFlow.js
 summary: |
-  This guide explains how to run TensorFlow.js in Docker containers, covering
-  setup, container management, and deploying machine learning models in
-  web-based environments using TensorFlow.js.
+  This guide explains how to run TensorFlow.js in Docker containers.
 subjects: [ai]
 languages: [js]
 levels: [beginner]

content/guides/text-classification.md

@@ -5,9 +5,7 @@ keywords: nlp, natural language processing, sentiment analysis, python, nltk, sc
 description: Learn how to build and run a text recognition application using Python, NLTK, scikit-learn, and Docker.
 summary: |
   This guide details how to containerize text classification models using
-  Docker, focusing on configuring the environment, optimizing performance, and
-  running classification tasks for large datasets with reproducibility and
-  scalability.
+  Docker.
 subjects: [ai]
 languages: [python]
 levels: [beginner]

content/guides/text-summarization.md

@@ -4,10 +4,7 @@ linkTitle: Text summarization
 keywords: nlp, natural language processing, text summarization, python, bert extractive summarizer
 description: Learn how to build and run a text summarization application using Python, Bert Extractive Summarizer, and Docker.
 summary: |
-  This guide shows how to containerize text summarization models with Docker,
-  covering the setup of efficient environments for processing large documents,
-  optimizing model performance, and managing resource-intensive NLP tasks in
-  scalable containers.
+  This guide shows how to containerize text summarization models with Docker.
 subjects: [ai]
 languages: [python]
 levels: [beginner]