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Disaster Recovery software for the Cumulus ingest and Archive system.

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podaac/cumulus-disaster-recovery

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Clone and build Disaster Recovery

Clone the dr-podaac-swot repo from https://git.earthdata.nasa.gov/scm/pocumulus/dr-podaac-swot.git

git clone https://git.earthdata.nasa.gov/scm/pocumulus/dr-podaac-swot.git disaster-recovery

Build lambdas

Before you can deploy this infrastructure, the lambda function source-code must be built.

./bin/build_tasks.sh "<version_number>" will crawl the tasks directory and build a .zip file (currently by just zipping all python files and dependencies) in each of it's sub-directories. That .zip is then referenced in the main.tf lamdba definitions.

<version_number> just has to be consistent with the dr_version variable passed into the disaster_recovery module. This value has to be updated for changes to lambdas to be deployed.

cd disaster-recovery
./bin/build_tasks.sh "0.1.1"

Disaster Recovery Deployment

The Disaster Recovery deployment is done with Terraform root module, main.tf.

The following instructions will walk you through installing Terraform, configuring Terraform, and deploying the root module.

Install Terraform

If you are using a Mac and Homebrew, installing Terraform is as simple as:

brew update
brew install terraform

For other cases, Visit the Terraform documentation for installation instructions.

Verify that the version of Terraform installed is at least v0.12.0.

$ terraform --version
Terraform v0.12.2

Configure the Terraform backend

The state of the Terraform deployment is stored in S3. In the following examples, it will be assumed that state is being stored in a bucket called dr-tf-state. You can also use an existing bucket, if desired.

Create the state bucket:

aws s3api create-bucket --bucket dr-tf-state --create-bucket-configuration LocationConstraint=us-west-2

Note: The --create-bucket-configuration line is only necessary if you are creating your bucket outside of us-east-1.

In order to help prevent loss of state information, it is recommended that versioning be enabled on the state bucket:

$ aws s3api put-bucket-versioning \
    --bucket dr-tf-state \
    --versioning-configuration Status=Enabled

Terraform uses a lock stored in DynamoDB in order to prevent multiple simultaneous updates. In the following examples, that table will be called dr-tf-locks.

Create the locks table:

⚠️ Note: The --billing-mode option was recently added to the AWS CLI. You may need to upgrade your version of the AWS CLI if you get an error about provisioned throughput when creating the table.

$ aws dynamodb create-table \
    --table-name dr-tf-locks \
    --attribute-definitions AttributeName=LockID,AttributeType=S \
    --key-schema AttributeName=LockID,KeyType=HASH \
    --billing-mode PAY_PER_REQUEST

Configure and deploy the main root module

These steps should be executed in the disaster-recovery directory.

Create a terraform.tf file, substituting the appropriate values for bucket and dynamodb_table. This tells Terraform where to store its remote state.

terraform.tf

terraform {
  backend "s3" {
    region         = "us-west-2"
    bucket         = "dr-tf-state"
    key            = "terraform.tfstate"
    dynamodb_table = "dr-tf-locks"
  }
}

Variables

First, run a mv terraform.tfvars.example terraform.tfvars to get a template terraform.tfvars in your working directory. This is where you will place input variables to Terraform.

Necessary:

  • ngap_subnets - NGAP Subnets (array)
  • vpc_id - ID of VPC to place resources in - recommended that this be a private VPC (or at least one with restricted access).
  • glacier_bucket - Bucket with Glacier policy
  • public_bucket - Bucket with public permissions (Cumulus public bucket)
  • private_bucket - Bucket with private permissions (Cumulus private bucket)
  • internal_bucket - Analogous to the Cumulus internal bucket
  • protected_bucket - Analogous to the Cumulus protected bucket
  • permissions_boundary_arn - Permission Boundary Arn (Policy) for NGAP compliance
  • postgres_user_pw - password for the postgres user
  • database_name - disaster_recovery
  • database_app_user - druser
  • database_app_user_pw - the password for the application user

Optional:

  • prefix - Prefix that will be pre-pended to resource names created by terraform. Defaults to dr.
  • profile - AWS CLI Profile (configured via aws configure) to use. Defaults to default.
  • region - Your AWS region. Defaults to us-west-2.
  • restore_expire_days - How many days to restore a file for. Defaults to 5.
  • restore_request_retries - How many times to retry a restore request to Glacier. Defaults to 3.
  • restore_retry_sleep_secs - How many seconds to wait between retry calls to restore_object. Defaults to 3.
  • restore_retrieval_type - the Tier for the restore request. Valid values are 'Standard'|'Bulk'|'Expedited'. Defaults to Standard. Understand the costs associated with the tiers before modifying.
  • copy_retries - How many times to retry a copy request from the restore location to the archive location. Defaults to 3.
  • copy_retry_sleep_secs - How many seconds to wait between retry calls to copy_object. Defaults to 0.
  • ddl_dir - the location of the ddl dir that contains the sql to create the application database. Defaults to 'ddl/'.
  • drop_database - Whether or not to drop the database if it exists (True), or keep it (False). Defaults to False.
  • database_port - the port for the postgres database. Defaults to '5432'.
  • platform - indicates if running locally (onprem) or in AWS (AWS). Defaults to 'AWS'.

Deploying with Terraform

Run terraform init. Run terraform plan #optional, but allows you to preview the deploy. Run terraform apply.

This will deploy Disaster Recovery.

Delete Terraform stack

If you want to remove it:

terraform destroy

Integrating with Cumulus

Integrate Disaster Recovery with Cumulus to be able to recover a granule from the Cumulus Dashboard.

Define the Disaster Recovery workflow (Cumulus < v1.15)

Copy the workflow from workflows/workflows.yml.dr into your Cumulus workflow.

Set the values of these environment variables to the ARN for the {prefix}-extract-filepaths-for-granule and {prefix}-request-files lambdas, respectively:

DR_EXTRACT_LAMBDA_ARN=arn:aws:lambda:us-west-2:012345678912:function:dr_extract_filepaths_for_granule

DR_REQUEST_LAMBDA_ARN=arn:aws:lambda:us-west-2:012345678912:function:dr_request_files

Add an aws provider to main.tf:

provider "aws" {
  version = "~> 2.13"
  region  = var.region
  profile = var.profile
}

Integrating Disaster Recovery With Cumulus >= v1.15

Adding a DR module to the Cumulus deployment

We will be adding a disaster-recovery module to cumulus-tf/main.tf. First, since there isn't a distributed version of the disaster-recovery module at the time of writing this documentation, you'll have to clone this repository locally: https://github.com/podaac/cumulus-disaster-recovery.git.

In the disaster-recovery repo, build the lambda tasks with ./bin/build_tasks.sh "<version_number>".

Once that is done, navigate to cumulus-tf/main.tf within your Cumulus deployment directory and add the following module:

module "disaster-recovery" {
  source = "<location of dr module locally>"

  prefix = var.prefix
  vpc_id = var.vpc_id

  dr_version               = "0.1.0"
  ngap_subnets             = var.ngap_db_subnets
  public_bucket            = var.buckets["public"]["name"]
  glacier_bucket           = var.buckets["glacier"]["name"]
  private_bucket           = var.buckets["private"]["name"]
  internal_bucket          = var.buckets["internal"]["name"]
  protected_bucket         = var.buckets["protected"]["name"]
  permissions_boundary_arn = var.permissions_boundary_arn
  postgres_user_pw         = var.postgres_user_pw
  database_name            = var.dr_database_name
  database_app_user        = var.dr_database_app_user
  database_app_user_pw     = var.dr_database_app_user_pw
}

Note: This above snippet assumes that you've configured your Cumulus deployment. More information on that process can be found in their documentation

Add necessary variables (unique to DR) to the Cumulus TF configuration

To support this module, you'll have to add the following values to your cumulus-tf/variables.tf file:

# Variables specific to DR
variable "ngap_db_subnets" {
  type = list(string)
}

variable "postgres_user_pw" {
  type = string
}

variable "dr_database_name" {
  type = string
}

variable "dr_database_app_user" {
  type = string
}

variable "dr_database_app_user_pw" {
  type = string
}

The values corresponding to these variables must be set in your cumulus-tf/terraform.tfvars file.

Adding a recovery workflow

Copy the workflow from workflows/dr_recovery_workflow.tf into your cumulus-tf/ directory. In the workflow file you may need to change the disaster-recovery portion of the following two strings to the name of your disaster-recovery module (defined in cumulus-tf/main.tf):

  1. module.disaster-recovery.extract_filepaths_lambda_arn
  2. module.disaster-recovery.request_files_lambda_arn

Collection configuration

To configure a collection to enable Disaster Recovery, add the line "granuleRecoveryWorkflow": DrRecoveryWorkflow" to the collection configuration:

{
  "queriedAt": "2019-11-07T22:49:46.842Z",
  "name": "L0A_HR_RAW",
  "version": "1",
  "sampleFileName": "L0A_HR_RAW_product_0001-of-0420.h5",
  "dataType": "L0A_HR_RAW",
  "granuleIdExtraction": "^(.*)((\\.cmr\\.json)|(\\.iso\\.xml)|(\\.tar\\.gz)|(\\.h5)|(\\.h5\\.mp))$",
  "reportToEms": true,
  "createdAt": 1561749178492,
  "granuleId": "^.*$",
  "provider_path": "L0A_HR_RAW/",
  "meta": {
    "response-endpoint": "arn:aws:sns:us-west-2:012345678912:providerResponseSNS",
    "glacier-bucket": "podaac-sndbx-cumulus-glacier",
    "granuleRecoveryWorkflow": DrRecoveryWorkflow"
  },
  "files": [
    {

Enable Recover Granule button

To enable the Recover Granule button on the Cumulus Dashboard (available at github.com/nasa/cumulus-dashboard), set the environment variable ENABLE_RECOVERY=true.

Here is an example command to run the Cumulus Dashboard locally:

  APIROOT=https://uttm5y1jcj.execute-api.us-west-2.amazonaws.com:8000/dev ENABLE_RECOVERY=true npm run serve