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GCP for DevOps

The GCP for DevOps course is designed to empower participants with the skills and knowledge needed to implement and optimize DevOps practices using Google Cloud Platform. Covering key GCP services and integrations, this course provides hands-on experience in building scalable, automated, and efficient DevOps pipelines on the Google Cloud.

he primary objective of this course is to enable participants to leverage GCP tools and services to streamline development workflows, enhance collaboration between development and operations teams, and achieve continuous delivery in a cloud-native environment.


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What you will learn

By the end of this course, participants will be able to:
  • Understand the integration of GCP services in the DevOps lifecycle.
  • Implement continuous integration and continuous delivery (CI/CD) pipelines on GCP.
  • Utilize GCP tools for container orchestration and management.
  • Implement infrastructure as code (IaC) using GCP Deployment Manager or Terraform.
  • Apply monitoring and logging solutions for cloud-native applications on GCP.
  • Automate and optimize resource provisioning and management.
  • Implement security best practices in GCP DevOps workflows.

Beneficial for

This course is suitable for:
  • DevOps Engineers
  • System Administrators
  • IT Professionals involved in software delivery and operations
  • Cloud Architects
  • Developers transitioning to DevOps roles

Course Pre-requisite

Participants should have a basic understanding of:
  • Basic understanding of cloud computing concepts
  • Familiarity with DevOps principles and practices
  • Experience with at least one programming language (e.g., Python, Java)
  • Fundamental knowledge of source code management (e.g., Git)

Course Outline

Overview of GCP services relevant to DevOps

Key DevOps principles and their application on GCP

Setting up CI/CD pipelines using Cloud Build

Integrating CI/CD with version control systems

Introduction to Google Kubernetes Engine (GKE)

Deploying and managing containerized applications on GKE

Using GCP Deployment Manager for IaC

Introduction to Terraform for GCP

Implementing monitoring solutions with Stackdriver

Logging and error tracking for cloud-native applications

Automating resource provisioning with Deployment Manager or Terraform

Implementing auto-scaling for GCP resources

Applying security principles in GCP DevOps workflows

Utilizing Identity and Access Management (IAM) for access control

Real-world case studies of GCP DevOps implementations

Best practices for efficient and secure DevOps on GCP

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