Automate MongoDB Atlas Deployment with Terraform

If you're working with MongoDB Atlas and looking to scale or standardize deployments across environments, Terraform is your friend.

In this video , I’ll walk you through how to automate your MongoDB Atlas deployments using Terraform—so you can spend less time in the UI and more time building.

Why Terraform?

Terraform lets you define and provision infrastructure using code. With the official MongoDB Atlas provider, you can version, audit, and reuse your configurations. That means faster, safer, and repeatable deployments—especially helpful when working in teams or managing multiple environments.

What You’ll Need

• A MongoDB Atlas account
• An organization/project API key with the right roles
• Terraform installed locally
• A basic understanding of HCL (HashiCorp Configuration Language)

  provider "mongodbatlas" {
  public_key  = var.mongodb_atlas_public_key
  private_key = var.mongodb_atlas_private_key
}

resource "mongodbatlas_project" "project" {
  name   = "my-terraform-project"
  org_id = var.mongodb_atlas_org_id
}

resource "mongodbatlas_cluster" "cluster" {
  project_id   = mongodbatlas_project.project.id
  name         = "my-cluster"
  provider_name = "AWS"
  region_name   = "US_EAST_1"
  cluster_type  = "REPLICASET"
  backing_provider_name = "AWS"
  auto_scaling_disk_gb_enabled = true
  mongo_db_major_version = "6.0"
  provider_instance_size_name = "M10"
}

Add variables and terraform.tfvars as needed. Then run the following commands:

terraform init
terraform validate
terraform plan
terraform apply -auto-approve

Final Thoughts

Automating MongoDB Atlas deployment with Terraform helps reduce human error and improves repeatability. Whether you're deploying one cluster or dozens, this approach scales with you.

Let me know what else you would like to automate in MongoDB Atlas.

Happy building!