The Complete Terraform IAC Development Bootcamp

Learn how infrastructure as code (IAC) with TerraForm enables declarative deployment of cloud resources, from VMs to networks, delivering faster, cheaper, and lower risk releases without manual intervention.

Create a centralized Ubuntu cloud machine to install Terraform for execution, using Digital Ocean for cost efficiency, and connect via SSH with PuTTY or MobaXterm from Windows, Mac, or Linux.

Install and verify Terraform on a Linux box using a cloud machine; update the package manager, download the 64-bit Linux Terraform, unzip, and move it to /usr/local/bin, then run Terraform.

Explore how Terraform initializes providers by declaring them in the configuration and downloading provider plugins from the provider registry. Use multiple providers with version constraints to ensure stable deployments.

Explore provisioning an AWS machine with Terraform by defining provider and resources, selecting an image, and applying init, plan, and destroy workflows to manage instances.

Centralize credentials in a dedicated provider file, read them from the configuration, and enable secure, multi-environment Terraform deployments with plan, apply, and destroy workflows.

Learn to provide credentials for Terraform via environment variables, exposing access key, secret key, and region without embedding them in config files, and verify deployment with apply and destroy.

Explore how the Terraform state file serves as the backbone for tracking resources, storing metadata, and calculating deployment deltas during plan and apply, with safe remote backups.

Explore how variables in Terraform enable parameterized deployments by passing runtime values through input variables, making configurations environment-agnostic and reusable across environments like staging and production.

Use variables in Terraform configuration files and provider blocks to manage secrets and dynamic values, making setups flexible and environment independent while avoiding hard-coded credentials.

Define and use list and map variables in Terraform to attach security groups to instances, and use the lookup function to map regions to emi values for environment-specific deployments.

Learn to provision software on AWS instances with Terraform, generating keys, configuring security groups, uploading install scripts, and installing and starting the engine service.

Discover how the Terraform data source retrieves dynamic information from external entities not managed by your configuration, enabling access to availability zones, security groups, and IP ranges for adaptive infrastructure.

Learn how to use a Terraform data source to fetch dynamic AWS availability zones, configure data source blocks, and apply results in a demo data source workflow.

Learn to use Terraform data sources to fetch AWS IP ranges by region, and generate security groups with filtered ingress rules, enabling dynamic IP filtering.

Learn how Terraform output attributes expose resource attributes to parent modules, retain private or public IPs for use in scripts, and print values with local-exec or remote-exec.

Create and manage an AWS VPC with subnets, route tables, and an internet gateway. Explore VPC endpoints with PrivateLink, VPC peering, security groups, and NACLs to control traffic.

Create a custom AWS VPC and security group using the AWS management console, configure a public subnet with an internet gateway, and launch EC2 instances to test the setup.

Build an AWS VPC with Terraform, creating public and private subnets, an Internet gateway, routing tables and associations, and a NAT gateway with an Elastic IP.

Launch an EC2 instance within a custom VPC by creating a security group, configuring inbound SSH access with a limited IP range, and using a key pair for secure login.

Explore elastic block store (ebs) in AWS, a durable volume for attaching persistent secondary disks to running instances and preserving data, with on-the-fly resizing, iops adjustment, and volume type changes.

Discover how to create an elastic block store (EBS) volume in AWS, attach it to an EC2 instance, mount the filesystem, and preserve data through reboots and terminations.

Configure and deploy a cloud instance with Terraform using a user data script to install Apache, start and enable the httpd service, and reveal the public IP.

Create and configure an RDS instance using Terraform by setting up a VPC, public and private subnets, security groups, subnet groups, and a MariaDB database, then access its endpoint.

Create AWS IAM users and groups with Terraform, attach policies, and manage group membership. Run Terraform plan and apply, with a warning about destroying resources.

Learn to create AWS IAM roles and policies in Terraform, attach them to an EC2 instance via an instance profile, and grant access to an S3 bucket from the instance.

Explore how EC2 autoscaling uses an auto scaling group and launch configuration to adjust instances by demand, with plans for maintain, manual, schedule-based, and demand-based scaling, min and max capacity.

Understand how AWS elastic load balancer distributes traffic, performs health checks, and supports SSL offloading, including host-based and path-based routing across classic, network, and application load balancers.

Build an aws vpc with a terraform module, configure provider and variables, and output public subnet and security group IDs for a production instance in this lab part 2.

Demonstrates executing a custom Terraform network module to provision an aws vpc, subnets, route tables, internet gateway, and security groups, then plan and apply to deploy resources end-to-end.

Learn to implement conditional statements in Terraform to control resource creation using environment variables, scaling from one to two instances based on production or development environment settings on aws.

Leverage built-in Terraform functions, including base64encode, base64decode, trimspace, length, lookup, map, concat, compact, element, file, timestamp, uuid, and coalesce, to build robust configurations.

Explore built-in functions in the Terraform configuration language to encode and decode data with base64, trim whitespace, merge lists, and perform map lookups for robust infrastructure configurations.

Learn how to use Terraform loops—count, for, and for_each—to create multiple resources and iterate over lists, maps, and inline blocks with practical examples.

This lecture outlines a Terraform project structure with reusable modules and inputs and outputs. It recommends development, staging, and production accounts and modular services to reduce errors and speed deployments.