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Google Cloud | GCE Reliability Engineering using Terraform

Deploy & manage production apps on Google Cloud (GCP) using Terraform. Learn SRE principles for reliability engineering and robust infrastructure.

4.7(58)
468students
5h 12m
Certificate
Jai Chenchlani
Jai ChenchlaniCloud/GCP | SRE | Platform Engineering Architect

Course Content

Google Cloud | GCE Reliability Engineering using Terraform is a beginner-level Udemy course taught by Jai Chenchlani. It runs 5h 12m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 58 reviews, with 468 students enrolled. It is a paid course, last updated May 2023.

Google Compute Engine (GCE) Reliability Engineering with Terraform – Master the skills to deploy and manage applications on Google Cloud's GCE. This course focuses specifically on GCE, providing practical expertise for production environments.

What You'll Learn:

  • Automation with Infrastructure as Code (IaC): Learn to automate infrastructure provisioning and application deployment using powerful tools like Bash scripts, Terraform, and Packer.
  • Reliability Engineering Principles: Apply proven reliability engineering practices to build resilient systems. Cover topics like Managed Instance Groups (MIG) and Load Balancers to ensure high availability.
  • Google Cloud Compute Engine (GCE) Expertise: Gain hands-on experience with GCE, including creating instances (VMs) from instance templates, configuring startup scripts, and managing network configurations (Cloud NAT, DNS).
  • Terraform for Infrastructure Management: Develop proficiency in using Terraform to define and manage your GCE infrastructure as code.
  • Packer for Image Building: Learn to create consistent and reproducible images with Packer for faster and more reliable deployments.
  • Logging & Monitoring: Implement effective logging strategies to gain insights into application behavior and troubleshoot issues.
  • Network Configuration: Secure and optimize your GCE deployments by removing external IPs and configuring Cloud NAT and DNS.

Course Curriculum (10-Stage Journey):

  • Stage 1: Manual Actions via GCP Console – Understand the basics of GCE through the Google Cloud Console.
  • Stage 2: Enable Logging – Implement robust logging for troubleshooting and monitoring.
  • Stage 3: Use of Startup Scripts – Automate instance configuration with startup scripts.
  • Stage 4: Complete Automation using Bash Scripts – Automate infrastructure tasks with Bash scripting.
  • Stage 5: Automation using Packer Built Images – Create and deploy infrastructure using Packer images.
  • Stage 6: IaC | Provision Infrastructure using Terraform – Master infrastructure provisioning with Terraform.
  • Stage 7: Create Instances (VMs) from Instance Templates – Efficiently deploy instances using instance templates.
  • Stage 8: Reliability Engineering | Managed Instance Groups (MIG) – Implement high availability with MIGs.
  • Stage 9: Reliability Engineering | Load Balancer – Distribute traffic and ensure application availability with Load Balancers.
  • Stage 10: Remove External IPs and configure Cloud NAT and DNS – Secure and optimize your GCE deployments.

Who is this course for?

This course is designed for individuals aiming to:

  • Get ready for a production role working with Google Cloud.
  • Become productive on day one deploying and managing applications on GCE.
  • Automate infrastructure and application deployments.
  • Implement reliability engineering best practices.

What you'll get:

  • 5+ hours of video lectures.
  • Hands-on demonstrations.
  • Downloadable resources and cheat sheets.
  • Complete video lectures.
  • Full 30-day money-back guarantee – enroll with zero risk!

Important Note: This course focuses solely on Google Compute Engine (GCE). It does not cover other Google Cloud compute services like GKE, Cloud Run, or App Engine. This course assumes you have a basic understanding of the tools and technologies (Terraform, Packer, Google Cloud/GCE) but focuses on applying them effectively.

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