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Deployment in GCP

LearnKartS

Welcome to the Deployment in GCP Course!

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Welcome to the Deployment in GCP Course!

This course is designed to provide you with comprehensive knowledge and practical skills for deploying applications and services on Google Cloud Platform (GCP). You will learn about the various deployment models, best practices, and tools available in GCP to effectively manage and scale your cloud-based solutions.

This course requires a basic understanding of cloud computing concepts and experience with GCP. Familiarity with fundamental networking, storage, and computing services in GCP is recommended.

By the end of this course, you will be able to:

- Understand the different deployment options available in GCP.

- Deploy applications using Google Kubernetes Engine (GKE), App Engine, and Compute Engine.

- Utilize Cloud Build for continuous integration and deployment.

- Implement Infrastructure as Code (IaC) using Deployment Manager and Terraform.

- Apply best practices for security, monitoring, and cost management in GCP.

- Troubleshoot common deployment issues and optimize your deployment strategies.

The course includes engaging videos, hands-on demos, and assessment to ensure a thorough understanding of GCP deployment practices.

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What's inside

Syllabus

Google Cloud Storage (GCS) and Services
This module covers a comprehensive range of topics related to managing virtual machine instances. By the end, learners will gain practical skills in creating, configuring, and optimizing virtual machine instances and associated resources, enabling them to architect the Google Cloud Platform with a focus on efficiency and reliability.
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Cloud Deployment Manager and Kubernates
This module encompasses Cloud Deployment Manager, configuration deployment, microservices, containers, Kubernetes, GKE, best practices, and Cloud Build for image creation and storage. By the end of this module, learners will deploy configurations via Deployment Manager, manage Kubernetes clusters, deploy apps, and effectively use GKE for microservices in GCP.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides thorough knowledge and practical skills for deploying applications and services on Google Cloud Platform (GCP)
Covers various deployment models, best practices, and tools available in GCP for effective management and scaling of cloud-based solutions
Helps learners gain experience in deploying applications using Google Kubernetes Engine (GKE), App Engine, and Compute Engine
Utilizes Cloud Build for continuous integration and deployment, ensuring efficient and automated deployment processes
Emphasizes Infrastructure as Code (IaC) using Deployment Manager and Terraform, enabling learners to define and manage infrastructure in a declarative and repeatable way
Requires a basic understanding of cloud computing concepts and experience with GCP, catering to learners with some prior knowledge in the field

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Deployment in GCP with these activities:
Read 'Google Cloud: Deploy and Manage Your Applications in the Cloud'
This activity introduces some foundational concepts of deployment and best practices to keep in mind when building applications in the cloud.
Show steps
  • Purchase the book.
  • Read the book.
  • Take notes while you read.
Review Deployment Manager Docs
Guided tutorials by subject matter experts can fill in knowledge gaps and help you develop skills
Show steps
  • Locate Deployment Manager docs.
  • Review the Deployment Manager docs.
Build a Serverless Application with Cloud Functions
Hands-on experience with projects cements abstract concepts and transforms them into clear, actionable knowledge.
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  • Define a simple serverless function.
  • Deploy your function to Cloud Functions
  • Test your deployed function
Four other activities
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Try out GKE Cloud Build
Understanding concepts is one thing. Getting comfortable using the tools and implementing the information promotes proficiency
Browse courses on Cloud Build
Show steps
  • Spin up a new Kubernetes cluster
  • Configure Cloud Build to deploy to your cluster
  • Deploy a sample application
Create a CI/CD Pipeline
CI/CD is an essential part of cloud development.
Browse courses on CI/CD Pipeline
Show steps
  • Configure a CI/CD pipeline using a tool like Jenkins or Travis CI.
  • Integrate your source code repository with the CI/CD pipeline.
  • Define a series of automated tasks to be performed as part of the pipeline.
  • Test your pipeline by making changes to your code and observing the results.
Deploy a multi-container app with Cloud Run
Cloud Run is a managed service that makes it easy to deploy and manage containerized applications.
Browse courses on Cloud Run
Show steps
  • Create a multi-container Docker image
  • Deploy your image to Cloud Run
  • Test your deployed application
Build a Cloud Deployment Portfolio
Building a portfolio of your work not only provides evidence of your skills, it also helps you identify areas where you can improve.
Browse courses on Cloud Deployment
Show steps
  • Gather your best cloud deployment projects.
  • Write up a brief description of each project.
  • Create a portfolio website or document.
  • Share your portfolio with potential employers or clients.

Career center

Learners who complete Deployment in GCP will develop knowledge and skills that may be useful to these careers:

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