Mattermost Cloud Database Factory

This repository houses the open-source components of Mattermost Cloud Database Factory. The database factory is a microservice with the purpose of deploying RDS Aurora Clusters via a API service.

For the configuration Terraform templates and modules are being used, preconfigured to meet Mattermost Cloud standards, but can be easily adapted to deploy RDS Aurora Clusters in any possible configuration. The database factory deploys and updates the RDS clusters.

Developing

Environment Setup

Install Go
Install Terraform version v0.11.14
Specify the region in your AWS config, e.g. ~/.aws/config:

[profile mm-cloud]
region = us-east-1

Generate an AWS Access and Secret key pair, then export them in your bash profile:

export AWS_ACCESS_KEY_ID=YOURACCESSKEYID
export AWS_SECRET_ACCESS_KEY=YOURSECRETACCESSKEY
export AWS_PROFILE=mm-cloud

Create an S3 bucket to store the terraform state
Clone this repository into your GOPATH (or anywhere if you have Go Modules enabled)

Building

Simply run the following:

$ go install ./cmd/database-factory

Running

Run the server with:

$ dbfactory server

where dbfactory is an alias for /go/bin/dbfactory

Testing

Run the go tests to test:

$ go test ./...

Deploying RDS Aurora Clusters

Deploy a RDS Cluster with the command-line:

dbfactory cluster create --environment <environment> --vpc-id vpc-xxxxxx --state-store=<state_storage_bucket> --instance-type <db_instance_type> --apply

or via a API call:

{
    "vpcID": "",
    "environment": "",
    "stateStore": "",
    "apply": true,
    "instanceType": "",
    "clusterID": "",
    "backupRetentionPeriod" : ""
}

The clusterID value is important for determining how the database factory will behave. If not clusterID is passed in, a random 8-digit ID is generated. If a clusterID of an existing cluster is specified, Terraform will try to update the existing cluster configuration.

By setting apply to false or removing --apply, a Terraform plan will run, which can be used for Debug and testing purposes.