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Deployment in GCP

Offered By: LearnKartS via Coursera

Tags

Kubernetes Courses Microservices Courses Containers Courses Virtual Machines Courses

Course Description

Overview

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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.

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.
  • 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.

Taught by

LearnKartS

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