Terraform module designed to easily backup EFS filesystems to S3 using DataPipeline.

The workflow is simple:

• Periodically launch resource (EC2 instance) based on schedule
• Execute the shell command defined in the activity on the instance
• Sync data from Production EFS to S3 Bucket by using aws-cli
• The execution log of the activity is stored in S3
• Publish the success or failure of the activity to an SNS topic
• Automatically rotate the backups using S3 lifecycle rule

[!TIP]

👽 Use Atmos with Terraform

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Works with Github Actions, Atlantis, or Spacelift.

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Example of running atmos to manage infrastructure from our Quick Start tutorial.

Usage

Include this module in your existing terraform code:

module "efs_backup" {
  source = "git::https://github.com/cloudposse/terraform-aws-efs-backup.git?ref=master"

  name                               = "${var.name}"
  stage                              = "${var.stage}"
  namespace                          = "${var.namespace}"
  vpc_id                             = "${var.vpc_id}"
  efs_mount_target_id                = "${var.efs_mount_target_id}"
  use_ip_address                     = "false"
  noncurrent_version_expiration_days = "${var.noncurrent_version_expiration_days}"
  ssh_key_pair                       = "${var.ssh_key_pair}"
  datapipeline_config                = "${var.datapipeline_config}"
  modify_security_group              = "true"
}

output "efs_backup_security_group" {
  value = "${module.efs_backup.security_group_id}"
}

Integration with EFS

To enable connectivity between the DataPipeline instances and the EFS, use one of the following methods to configure Security Groups:

1. Explicitly add the DataPipeline SG (the output of this module security_group_id) to the list of the ingress rules of the EFS SG. For example:

module "elastic_beanstalk_environment" {
  source     = "git::https://github.com/cloudposse/terraform-aws-elastic-beanstalk-environment.git?ref=master"
  namespace  = "${var.namespace}"
  name       = "${var.name}"
  stage      = "${var.stage}"
  delimiter  = "${var.delimiter}"
  attributes = ["${compact(concat(var.attributes, list("eb-env")))}"]
  tags       = "${var.tags}"

  # ..............................
}

module "efs" {
  source     = "git::https://github.com/cloudposse/terraform-aws-efs.git?ref=tmaster"
  namespace  = "${var.namespace}"
  name       = "${var.name}"
  stage      = "${var.stage}"
  delimiter  = "${var.delimiter}"
  attributes = ["${compact(concat(var.attributes, list("efs")))}"]
  tags       = "${var.tags}"

  # Allow EB/EC2 instances and DataPipeline instances to connect to the EFS
  security_groups = ["${module.elastic_beanstalk_environment.security_group_id}", "${module.efs_backup.security_group_id}"]
}

module "efs_backup" {
  source     = "git::https://github.com/cloudposse/terraform-aws-efs-backup.git?ref=master"
  name       = "${var.name}"
  stage      = "${var.stage}"
  namespace  = "${var.namespace}"
  delimiter  = "${var.delimiter}"
  attributes = ["${compact(concat(var.attributes, list("efs-backup")))}"]
  tags       = "${var.tags}"

  # Important to set it to `false` since we added the `DataPipeline` SG (output of the `efs_backup` module) to the `security_groups` of the `efs` module
  # See NOTE below for more information
  modify_security_group = "false"

  # ..............................
}

2. Set modify_security_group attribute to true so the module will modify the EFS SG to allow the DataPipeline to connect to the EFS

NOTE: Do not mix these two methods together. Terraform does not support using a Security Group with in-line rules in conjunction with any Security Group Rule resources. https://www.terraform.io/docs/providers/aws/r/security_group_rule.html

NOTE on Security Groups and Security Group Rules: Terraform currently provides both a standalone Security Group Rule resource (a single ingress or egress rule), and a Security Group resource with ingress and egress rules defined in-line. At this time you cannot use a Security Group with in-line rules in conjunction with any Security Group Rule resources. Doing so will cause a conflict of rule settings and will overwrite rules.

[!IMPORTANT] In Cloud Posse's examples, we avoid pinning modules to specific versions to prevent discrepancies between the documentation and the latest released versions. However, for your own projects, we strongly advise pinning each module to the exact version you're using. This practice ensures the stability of your infrastructure. Additionally, we recommend implementing a systematic approach for updating versions to avoid unexpected changes.

Makefile Targets

Available targets:

  help                                Help screen
  help/all                            Display help for all targets
  help/short                          This help short screen
  lint                                Lint terraform code

Requirements

No requirements.

Providers

Modules

Resources

Inputs

{
  "email": "",
  "instance_type": "t2.micro",
  "period": "24 hours",
  "timeout": "60 Minutes"
}

Outputs

Related Projects

Check out these related projects.

• terraform-aws-efs - Terraform Module to define an EFS Filesystem (aka NFS)
• terraform-aws-efs-cloudwatch-sns-alarms - Terraform module that configures CloudWatch SNS alerts for EFS

References

For additional context, refer to some of these links.

• datapipeline-efs-backup-demo - Thanks for inspiration

[!TIP]

Use Terraform Reference Architectures for AWS

Use Cloud Posse's ready-to-go terraform architecture blueprints for AWS to get up and running quickly.

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✅ 100% Open Source and backed by fanatical support.

📚 Learn More

Cloud Posse is the leading [**DevOps Accelerator**](https://cpco.io/commercial-support?utm_source=github&utm_medium=readme&utm_campaign=cloudposse/terraform-aws-efs-backup&utm_content=commercial_support) for funded startups and enterprises. *Your team can operate like a pro today.* Ensure that your team succeeds by using Cloud Posse's proven process and turnkey blueprints. Plus, we stick around until you succeed. #### Day-0: Your Foundation for Success - **Reference Architecture.** You'll get everything you need from the ground up built using 100% infrastructure as code. - **Deployment Strategy.** Adopt a proven deployment strategy with GitHub Actions, enabling automated, repeatable, and reliable software releases. - **Site Reliability Engineering.** Gain total visibility into your applications and services with Datadog, ensuring high availability and performance. - **Security Baseline.** Establish a secure environment from the start, with built-in governance, accountability, and comprehensive audit logs, safeguarding your operations. - **GitOps.** Empower your team to manage infrastructure changes confidently and efficiently through Pull Requests, leveraging the full power of GitHub Actions. #### Day-2: Your Operational Mastery - **Training.** Equip your team with the knowledge and skills to confidently manage the infrastructure, ensuring long-term success and self-sufficiency. - **Support.** Benefit from a seamless communication over Slack with our experts, ensuring you have the support you need, whenever you need it. - **Troubleshooting.** Access expert assistance to quickly resolve any operational challenges, minimizing downtime and maintaining business continuity. - **Code Reviews.** Enhance your team’s code quality with our expert feedback, fostering continuous improvement and collaboration. - **Bug Fixes.** Rely on our team to troubleshoot and resolve any issues, ensuring your systems run smoothly. - **Migration Assistance.** Accelerate your migration process with our dedicated support, minimizing disruption and speeding up time-to-value. - **Customer Workshops.** Engage with our team in weekly workshops, gaining insights and strategies to continuously improve and innovate.

✨ Contributing

This project is under active development, and we encourage contributions from our community.

Many thanks to our outstanding contributors:

For 🐛 bug reports & feature requests, please use the issue tracker.

In general, PRs are welcome. We follow the typical "fork-and-pull" Git workflow.

1. Review our Code of Conduct and Contributor Guidelines.
2. Fork the repo on GitHub
3. Clone the project to your own machine
4. Commit changes to your own branch
5. Push your work back up to your fork
6. Submit a Pull Request so that we can review your changes

NOTE: Be sure to merge the latest changes from "upstream" before making a pull request!

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