GCP Containers Tutorials


Introduction: Dive into the world of containerization with our comprehensive GCP Container Tutorial. This tutorial is designed to guide you through the essentials and advanced features of container management using Google Cloud Platform’s robust suite of tools. Whether you’re a developer, system administrator, or DevOps professional, this tutorial will equip you with the knowledge and skills to effectively deploy, manage, and scale containerized applications in the cloud.

What You’ll Learn

  • Fundamentals of Containerization: Understand the basics of container technology and its advantages over traditional virtualization.
  • Google Kubernetes Engine (GKE): Learn to orchestrate container deployment, scaling, and management with GKE.
  • Cloud Run: Discover how to build and deploy containerized applications on a fully managed environment with Cloud Run.
  • Cloud Build & Artifact Registry: Master continuous integration and delivery (CI/CD) pipelines for containerized applications using Cloud Build and manage your artifacts efficiently with Artifact Registry.
  • Cloud Code: Explore integrated development environments (IDEs) for cloud-native application development.
  • Cloud Deploy: Get insights into automated, reliable, and safe software delivery with Cloud Deploy.
  • Migrate to Containers: Understand the strategies and best practices for migrating legacy applications to containers.
  • Deep Learning Containers: Learn to set up reproducible, containerized deep learning environments.
  • Knative: Explore the serverless framework for building, deploying, and managing modern serverless workloads.


Google Kubernetes Engine (GKE):

  • Introduction to Kubernetes: An overview of Kubernetes concepts, architecture, and its role in container orchestration.
  • GKE Cluster Management: Learn to create, configure, and manage Kubernetes clusters in GKE, including cluster sizing, networking, and security features.
  • Deploying Applications on GKE: Detailed steps for deploying applications using Kubernetes manifests, handling storage and network resources, and utilizing GKE’s specific features.
  • Monitoring and Autoscaling: Implement monitoring using Google’s operations suite and set up autoscaling to handle workload changes dynamically.
  1. Cloud Run:
    • Building Serverless Applications: Guidelines for building scalable and secure serverless applications that can be deployed on Cloud Run.
    • Deploying and Managing Services: Step-by-step instructions on deploying applications to Cloud Run, managing service versions, and configuring auto-scaling.
    • Integrating with Cloud Services: How to integrate Cloud Run services with other GCP offerings like Cloud Storage, Pub/Sub, and Cloud SQL.
    • Best Practices and Security: Key practices for writing efficient code, container security, and managing service identities.
  2. Cloud Build and Artifact Registry:
    • Setting Up CI/CD Pipelines: Creating automated pipelines for building, testing, and deploying your containerized applications.
    • Building and Storing Container Images: Instructions on how to build container images with Cloud Build and store them securely in Artifact Registry.
    • Automating Deployments: Techniques for automating deployments to various GCP services, including GKE and Cloud Run.
    • Security and Compliance: Ensuring compliance with security policies and best practices in CI/CD processes.
  3. Cloud Code:
    • IDE Setup and Configuration: Setting up Cloud Code in your preferred IDE, configuring it for optimal cloud development.
    • Developing Cloud-Native Applications: Best practices and patterns for developing scalable, resilient cloud-native applications.
    • Debugging and Live Updates: Techniques for effective debugging in a cloud environment and implementing live updates without downtime.
    • Integration with GCP Services: Deep dive into integrating your application with various GCP services for enhanced functionality.
  4. Cloud Deploy:
    • Implementation of Deployment Pipelines: Constructing robust deployment pipelines for consistent and reliable software delivery.
    • Automated Rollouts and Rollbacks: How to set up automated rollouts and safe rollback strategies to maintain service stability.
    • Traffic Management: Techniques for managing and directing traffic to ensure high availability and minimal downtime.
    • Monitoring Deployments: Tools and strategies for monitoring the health and performance of your deployments.
  5. Migrate to Containers:
    • Assessing and Planning Migration: Steps for assessing your current infrastructure and planning a migration to container-based solutions.
    • Containerizing Legacy Applications: Practical guide to containerizing existing legacy applications, addressing common challenges.
    • Migration Strategies and Tools: Explore different migration strategies and the tools available in GCP to facilitate the process.
    • Post-Migration Optimization: Best practices for optimizing your containerized applications post-migration for performance and cost.
  6. Deep Learning Containers:
    • Setting Up Deep Learning Environments: How to set up and configure deep learning environments using GCP’s managed services.
    • Working with Pre-built Containers: Utilizing GCP’s pre-built deep learning containers for various ML frameworks.
    • Customizing and Extending Containers: Instructions on customizing these containers to fit specific project needs.
    • Integration with AI and ML Services: Leveraging GCP’s AI and machine learning services in conjunction with deep learning containers.
  7. Knative:
    • Introduction to Serverless Architectures: An overview of serverless computing and how Knative fits into this paradigm.
    • Building and Deploying Knative Services: Detailed guide on building serverless applications with Knative and deploying them on GCP.
    • Eventing and Observability: Implementing event-driven architectures and ensuring observability in serverless applications.
    • Scaling and Performance Tuning: Strategies for scaling serverless applications and tuning them for optimal performance.

FAQs (Frequently Asked Questions)

What is containerization and how is it used in GCP?

Containerization is the use of containers to deploy applications in a lightweight, portable environment. GCP offers various tools to manage and deploy containers, such as Kubernetes Engine and Cloud Run.

Who should take this GCP Container Tutorial?

Do I need prior experience with Google Cloud Platform to start this tutorial?

How long will it take to complete the tutorial?

Is there a certification available upon completion?

Are there any hands-on labs or practical exercises included?

Can I access the tutorial content offline?

Is there a cost associated with this tutorial?

How is this tutorial different from other GCP container tutorials?

Will I learn about Kubernetes in this tutorial?

Can I get support or help during the tutorial?

Is Cloud Build covered in this tutorial?

What are the prerequisites for the ‘Migrate to Containers’ module?

Will the tutorial cover container security?

How up-to-date is the tutorial content?

Can I interact with other learners taking this tutorial?

Is there a trial period or a demo I can view before enrolling?

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