Course Outline
Introduction
- How is Terraform different from Chef, Puppet, Ansible or Salt?
- Why not use Google Deployment Manager?
Overview of Terraform Features and Architecture
- Infrastructure as Code, execution plans, resource graphs, change automation
Terraform Workflow
- Write, Preview, Create, Reproduce, Destroy
Getting Started
- Preparing a GCP account to use with Terraform
- Initializing Terraform and building a virtual machine (compute engine instance)
Creating an Application
- Starting a project on GCP
- Initializing a sample web app
Preparing an Execution Plan
- Writing a new plan, saving, and removing .tf files
Working with Configuration Files
- Syntax overview
- Writing, version controlling, and updating
Setting Resource Dependencies
- Using the Terraform Resource Graph
- Infrastructure vs application dependencies
Deploying Infrastructure
- Previewing configuration changes
- Executing changes
Managing State
- Setting up Google Cloud Storage for persistence
- Setting up Remote State
Networking
- Setting up a firewall
- Managing subnets
Reproducing Infrastructure
- Setting up environments for an app: dev, test/qa, stage, and prod
Packaging Configuration Files as Modules
- Duplicating code with shareable modules
- Using the Module Registry to build reusable templates
Integrating Terraform into a Deployment Pipeline
- Building, deploying, and testing an application
- Importing existing external resources into Terraform
Terraform Performance Tuning
- Infrastructure monitoring and performance metrics
Troubleshooting
Summary and Conclusion
Requirements
- Experience working with a command line
- An understanding of cloud infrastructure concepts
Audience
- Cloud architects
- System administrators
- DevOps engineers
Testimonials (7)
Interesting and practical examples. Engaging teaching style.
Wojciech Bogucki - Orange Innovation
Course - Terraform on GCP (Google Cloud Platform)
Machine Translated
Relaxed atmosphere, some topics explained in great detail
Monika Drozd - Orange Innovation
Course - Terraform on GCP (Google Cloud Platform)
Machine Translated
This means that the tasks were independent of each other and even if something didn’t finish, it wouldn’t affect further work. Everything was very transparent and well-explained. The materials were relevant and concrete.
Lidia Opuchlik - Orange Innovation
Course - Terraform on GCP (Google Cloud Platform)
Machine Translated
The Pomodoro technique proved to be effective. The instructor was very friendly, open, and knowledgeable. He made a great effort to ensure that everyone followed the material and answered each question substantively. Solving real problems, practical examples of situations and how to handle them. A fantastic training session with an excellent instructor.
Lukasz Jedral - Horus sp. z o.o.
Course - Terraform on GCP (Google Cloud Platform)
Machine Translated
a practical approach, Terraform is forgiving in terms of syntax, understanding the philosophy - invaluable
Jerzy Michajlow - 7N sp. z o.o.
Course - Terraform on GCP (Google Cloud Platform)
Machine Translated
Trainer's depth of knowledge on Terraform, his enthusiasm on good ways of coding and principles and his patience.
Douglas Hanna - Mailchimp
Course - Terraform on GCP (Google Cloud Platform)
The Pomodoro Technique, the size which made engagement easy and not taking too much time because there are too many people in the class.