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3 dépôts

Awesome GitHub RepositoriesArchitecture Labs

Practical, scenario-based environments for implementing high-availability cloud-native patterns.

Distinct from Cloud Native Infrastructure: Focuses on the educational lab aspect of implementing architecture rather than the infrastructure tools themselves.

Explore 3 awesome GitHub repositories matching devops & infrastructure · Architecture Labs. Refine with filters or upvote what's useful.

Awesome Architecture Labs GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • yeasy/docker_practiceAvatar de yeasy

    yeasy/docker_practice

    26,111Voir sur GitHub↗

    This project is a Docker educational resource and a collection of practical examples designed for learning containerization technologies. It serves as a guide for understanding container fundamentals, including the creation and management of custom images and the use of registries. The repository provides specialized references for container security hardening, such as managing kernel privileges and implementing supply chain security. It also includes tutorials for multi-container orchestration and a DevOps guide focused on CI/CD automation and image optimization. The material covers a broad

    Includes real-world scenarios for building high-availability systems and deploying workloads to public clouds.

    Gobookcloud-computingcontainer
    Voir sur GitHub↗26,111
  • googlecloudplatform/training-data-analystAvatar de GoogleCloudPlatform

    GoogleCloudPlatform/training-data-analyst

    8,566Voir sur GitHub↗

    This project is a cloud data analysis sandbox and a collection of courseware designed for learning data analysis techniques on Google Cloud Platform. It serves as a training lab containing technical demonstrations and practical exercises for skill development and cloud certification. The repository provides guided labs and demonstrations focused on Google Cloud data analysis, encompassing technical training for the platform's specific data services. It enables the practice of cloud data engineering and the use of big data tooling to perform queries and data transformations. The environment s

    Provides isolated virtual machines and networking to host temporary cloud services for training sessions.

    Jupyter Notebook
    Voir sur GitHub↗8,566
  • acantril/learn-cantrill-io-labsAvatar de acantril

    acantril/learn-cantrill-io-labs

    6,130Voir sur GitHub↗

    This repository is a collection of hands-on AWS learning labs that pair visual architecture diagrams with real infrastructure deployment. Each lab is built around a complete architecture diagram, and the learner follows step-by-step instructions to implement that exact design using pre-authored AWS CloudFormation templates. The core approach is to teach cloud concepts by having the learner build the infrastructure they see in the diagram, reinforcing understanding through direct, practical construction. The labs are designed as complete, multi-service integration demos that combine compute, s

    Provides step-by-step labs that combine AWS architecture diagrams with CloudFormation infrastructure deployment to teach cloud concepts.

    Python
    Voir sur GitHub↗6,130
  1. Home
  2. DevOps & Infrastructure
  3. Cloud Native Infrastructure
  4. Architecture Labs

Explorer les sous-tags

  • AWS CloudFormation LabsStep-by-step labs that combine AWS architecture diagrams with CloudFormation-based infrastructure deployment. **Distinct from Architecture Labs:** Distinct from Architecture Labs: focuses specifically on AWS with CloudFormation deployment, not general cloud-native patterns.
  • Cloud Training EnvironmentsIsolated cloud-based infrastructure designed for temporary technical training sessions. **Distinct from Architecture Labs:** Distinct from Architecture Labs: focuses on the temporary, isolated nature of educational training environments rather than specific cloud-native architectural patterns.