GitHub action to deploy any Docker-based app to an AWS VM (EC2) using Docker and Docker Compose.
The action will copy this repo to the VM and then run docker-compose up
.
This project is supported by Bitovi, a DevOps Consultancy and a proud supporter of Open Source software.
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- Files for Docker
- An AWS account
Your app needs a Dockerfile
and a docker-compose.yaml
file.
For more details on setting up Docker and Docker Compose, check out Bitovi's Academy Course: Learn Docker
You'll need Access Keys from an AWS account
For envirnoment variables in your app, you can provide:
repo_env
- A file in your repo that contains env varsghv_env
- An entry in Github actions variablesdot_env
- An entry in Github secretsaws_secret_env
- The path to a JSON format secret in AWS
Then hook it up in your docker-compose.yaml
file like:
version: '3.9'
services:
app:
env_file: .env
These environment variables are merged to the .env file quoted in the following order:
- Terraform passed env vars ( This is not optional nor customizable )
- Repository checked-in env vars - repo_env file as default. (KEY=VALUE style)
- Github Secret - Create a secret named DOT_ENV - (KEY=VALUE style)
- AWS Secret - JSON style like '{"key":"value"}'
Create .github/workflow/deploy.yaml
with the following to build on push.
name: Basic deploy
on:
push:
branches: [ main ]
jobs:
EC2-Deploy:
runs-on: ubuntu-latest
steps:
- id: deploy
uses: bitovi/github-actions-deploy-docker-to-ec2@v0.5.0
with:
aws_access_key_id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws_secret_access_key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws_default_region: us-east-1
dot_env: ${{ secrets.DOT_ENV }}
name: Advanced deploy
on:
push:
branches: [ main ]
permissions:
contents: read
jobs:
EC2-Deploy:
runs-on: ubuntu-latest
environment:
name: ${{ github.ref_name }}
url: ${{ steps.deploy.outputs.vm_url }}
steps:
- id: deploy
name: Deploy
uses: bitovi/github-actions-deploy-docker-to-ec2@v0.5.0
with:
aws_access_key_id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws_secret_access_key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws_session_token: ${{ secrets.AWS_SESSION_TOKEN }}
aws_default_region: us-east-1
domain_name: bitovi.com
sub_domain: app
tf_state_bucket: my-terraform-state-bucket
dot_env: ${{ secrets.DOT_ENV }}
ghv_env: ${{ vars.VARS }}
app_port: 3000
additional_tags: "{\"key1\": \"value1\",\"key2\": \"value2\"}"
- Action Defaults
- Secrets and Environment Variables
- EC2
- EFS
- RDS
- Certificates
- Load Balancer
- Application
- Terraform
The following inputs can be used as step.with
keys
Name | Type | Description |
---|---|---|
checkout |
Boolean | Set to false if the code is already checked out. (Default is true ). |
stack_destroy |
Boolean | Set to true to destroy the stack - Will delete the elb logs bucket after the destroy action runs. |
aws_access_key_id |
String | AWS access key ID |
aws_secret_access_key |
String | AWS secret access key |
aws_session_token |
String | AWS session token |
aws_default_region |
String | AWS default region. Defaults to us-east-1 |
aws_resource_identifier |
String | Set to override the AWS resource identifier for the deployment. Defaults to ${GITHUB_ORG_NAME}-${GITHUB_REPO_NAME}-${GITHUB_BRANCH_NAME} . Use with destroy to destroy specific resources. |
Name | Type | Description - Check note about environment variables. |
---|---|---|
aws_secret_env |
String | Secret name to pull environment variables from AWS Secret Manager. |
repo_env |
String | .env file containing environment variables to be used with the app. Name defaults to repo_env . |
dot_env |
String | .env file to be used with the app. This is the name of the Github secret. |
ghv_env |
String | .env file to be used with the app. This is the name of the Github variables. |
Name | Type | Description |
---|---|---|
aws_ami_id |
String | AWS AMI ID. Will default to latest Ubuntu 22.04 server image (HVM). Accepts ami-### values. |
ec2_instance_profile |
String | The AWS IAM instance profile to use for the EC2 instance. Default is ${GITHUB_ORG_NAME}-${GITHUB_REPO_NAME}-${GITHUB_BRANCH_NAME} |
ec2_instance_type |
String | The AWS IAM instance type to use. Default is t2.small . See this list for reference. |
ec2_volume_size |
Integer | The size of the volume (in GB) on the AWS Instance. |
create_keypair_sm_entry |
Boolean | Generates and manage a secret manager entry that contains the public and private keys created for the ec2 instance. |
Name | Type | Description |
---|---|---|
aws_create_efs |
Boolean | Toggle to indicate whether to create and EFS and mount it to the ec2 as a part of the provisioning. Note: The EFS will be managed by the stack and will be destroyed along with the stack |
aws_create_ha_efs |
Boolean | Toggle to indicate whether the EFS resource should be highly available (target mounts in all available zones within region) |
aws_create_efs_replica |
Boolean | Toggle to indiciate whether a read-only replica should be created for the EFS primary file system |
aws_enable_efs_backup_policy |
Boolean | Toggle to indiciate whether the EFS should have a backup policy |
aws_efs_zone_mapping |
JSON | Zone Mapping in the form of {\"<availabillity zone>\":{\"subnet_id\":\"subnet-abc123\", \"security_groups\":\[\"sg-abc123\"\]} } |
aws_efs_transition_to_inactive |
String | Indicates how long it takes to transition files to the IA storage class. |
aws_replication_configuration_destination |
String | AWS Region to target for replication. |
aws_mount_efs_id |
String | ID of existing EFS. |
aws_mount_efs_security_group_id |
String | ID of the primary security group used by the existing EFS. |
application_mount_target |
String | The application_mount_target input represents the folder path within the EC2 instance to the data directory. Default is /user/ubuntu/<application_repo>/data . Additionally this value is loaded into the docker-compose .env file as HOST_DIR . |
data_mount_target |
String | The data_mount_target input represents the target volume directory within the docker compose container. Default is /data . Additionally this value is loaded into the docker-compose container .env file as TARGET_DIR . |
efs_mount_target |
String | Directory path in efs to mount directory to. Default is / . |
Name | Type | Description |
---|---|---|
aws_enable_postgres |
Boolean | Set to "true" to enable a postgres database. |
aws_postgres_engine |
String | Which Database engine to use. Default is aurora-postgresql . |
aws_postgres_engine_version |
String | Specify Postgres version. More information here. Default is 11.13 . |
aws_postgres_instance_class |
String | Define the size of the instances in the DB cluster. Default is db.t3.medium . |
aws_postgres_subnets |
String | Specify which subnets to use as a list of strings. Example: i-1234,i-5678,i-9101 . |
aws_postgres_database_name |
String | Specify a database name. Will be created if it does not exist. Default is root . |
aws_postgres_database_port |
String | Specify a listening port for the database. Default is 5432 . |
aws_postgres_database_group_family |
String | Specify aws postgres group family. Default is aurora-postgresql11 . See this. |
aws_postgres_database_protection |
Boolean | Protects the database from deletion. Default is false . |
aws_postgres_database_final_snapshot |
Boolean | Creates a snapshot before deletion. If a string is passed, it will be used as snapsthot name. Defaults to false . |
Name | Type | Description |
---|---|---|
domain_name |
String | Define the root domain name for the application. e.g. bitovi.com'. |
sub_domain |
String | Define the sub-domain part of the URL. Defaults to ${GITHUB_ORG_NAME}-${GITHUB_REPO_NAME}-${GITHUB_BRANCH_NAME} . |
root_domain |
Boolean | Deploy application to root domain. Will create root and www records. Default is false . |
cert_arn |
String | Define the certificate ARN to use for the application. See note. |
create_root_cert |
Boolean | Generates and manage the root cert for the application. See note. Default is false . |
create_sub_cert |
Boolean | Generates and manage the sub-domain certificate for the application. See note. Default is false . |
no_cert |
Boolean | Set this to true if no certificate is present for the domain. See note. Default is false . |
Name | Type | Description |
---|---|---|
lb_port |
String | Load balancer listening port. Default is 80 if NO FQDN provided, 443 if FQDN provided. |
lb_healthcheck |
String | Load balancer health check string. Default is HTTP:app_port . |
Name | Type | Description |
---|---|---|
docker_remove_orphans |
Boolean | Set to true to turn the --remove-orphans flag. Defaults to false . |
docker_full_cleanup |
Boolean | Set to true to run docker-compose down and docker system prune --all --force --volumes after. Runs before docker_install . WARNING: docker volumes will be destroyed. |
app_directory |
String | Relative path for the directory of the app. (i.e. where the docker-compose.yaml file is located). This is the directory that is copied into the EC2 instance. Default is / , the root of the repository. Add a .gha-ignore file with a list of files to be exluded. (Using glob patterns). |
app_directory_cleanup |
Boolean | Will generate a timestamped compressed file (in the home directory of the instance) and delete the app repo directory. Runs before docker_install and after docker_full_cleanup . |
app_port |
String | Port to be expose for the container. Default is 3000 |
Name | Type | Description |
---|---|---|
tf_state_bucket |
String | AWS S3 bucket name to use for Terraform state. See note |
tf_state_bucket_destroy |
Boolean | Force purge and deletion of S3 bucket defined. Any file contained there will be destroyed. stack_destroy must also be true . Default is false . |
additional_tags |
JSON | Add additional tags to the terraform default tags, any tags put here will be added to all provisioned resources. |
Most resources will contain the tag ${GITHUB_ORG_NAME}-${GITHUB_REPO_NAME}-${GITHUB_BRANCH_NAME}
, some of them, even the resource name after.
We limit this to a 60 characters string because some AWS resources have a length limit and short it if needed.
We use the kubernetes style for this. For example, kubernetes -> k(# of characters)s -> k8s. And so you might see some compressions are made.
For some specific resources, we have a 32 characters limit. If the identifier length exceeds this number after compression, we remove the middle part and replace it for a hash made up from the string itself.
Buckets names can be made of up to 63 characters. If the length allows us to add -tf-state, we will do so. If not, a simple -tf will be added.
As a default, the application will be deployed and the ELB public URL will be displayed.
If domain_name
is defined, we will look up for a certificate with the name of that domain (eg. example.com
). We expect that certificate to contain both example.com
and *.example.com
.
If you wish to set up domain_name
and disable the certificate lookup, set up no_cert
to true.
Setting create_root_cert
to true
will create this certificate with both example.com
and *.example.com
for you, and validate them. (DNS validation).
Setting create_sub_cert
to true
will create a certificate just for the subdomain, and validate it.
⚠️ Be very careful here! Created certificates are fully managed by Terraform. Therefor they will be destroyed upon stack destruction.
To change a certificate (root_cert, sub_cert, ARN or pre-existing root cert), you must first set the no_cert
flag to true, run the action, then set the no_cert
flag to false, add the desired settings and excecute the action again. (This will destroy the first certificate.)
This is necessary due to a limitation that prevents certificates from being changed while in use by certain resources.
Users looking to add non-ephemeral storage to their created EC2 instance have the following options; create a new efs as a part of the ec2 deployment stack, or mounting an existing EFS.
Option 1, you have access to the create_efs
attribute which will create a EFS resource and mount it to the EC2 instance in the application directory at the path: "app_root/data".
⚠️ Be very careful here! The EFS is fully managed by Terraform. Therefor it will be destroyed upon stack destruction.
Option 2, you have access to the mount_efs
attributes. Requiring an existing EFS id and optionally a primary security group id the existing EFS will be attached to the ec2 security group to allow traffic.
An example EFS Zone mapping;
{
"a": {
"subnet_id": "subnet-foo123",
"security_groups: ["sg-foo123", "sg-bar456"]
}
}
If aws_enable_postgres
is set to true
, this action will deploy an RDS cluster for Postgres.
The following environment variables are added to the .env
file in your app's docker-compose.yaml
file.
To take advantage of these environment variables, be sure your docker-compose file is referencing the .env
file like this:
version: '3.9'
services:
app:
# ...
env_file: .env
# ...
The available environment variables are:
Variable | Description |
---|---|
POSTGRES_CLUSTER_ENDPOINT (and PGHOST ) |
Writer endpoint for the cluster |
POSTGRES_CLUSTER_PORT (and PGPORT ) |
The database port |
POSTGRES_CLUSTER_MASTER_PASSWORD (and PG_PASSWORD ) |
database root password |
POSTGRES_CLUSTER_MASTER_USERNAME (and PG_USER ) |
The database master username |
POSTGRES_CLUSTER_DATABASE_NAME (and PGDATABASE ) |
Name for an automatically created database on cluster creation |
POSTGRES_CLUSTER_ARN |
Amazon Resource Name (ARN) of cluster |
POSTGRES_CLUSTER_ID |
The RDS Cluster Identifier |
POSTGRES_CLUSTER_RESOURCE_ID |
The RDS Cluster Resource ID |
POSTGRES_CLUSTER_READER_ENDPOINT |
A read-only endpoint for the cluster, automatically load-balanced across replicas |
POSTGRES_CLUSTER_ENGINE_VERSION_ACTUAL |
The running version of the cluster database |
POSTGRES_CLUSTER_HOSTED_ZONE_ID |
The Route53 Hosted Zone ID of the endpoint |
The AWS root certificate is downloaded and accessible via the rds-combined-ca-bundle.pem
file in root of your app repo/directory.
Example JavaScript to make a request to the Postgres cluster:
const { Client } = require('pg')
// set up client
const client = new Client({
host: process.env.PGHOST,
port: process.env.PGPORT,
user: process.env.PG_USER,
password: process.env.PG_PASSWORD,
database: process.env.PGDATABASE,
ssl: {
ca: fs.readFileSync('rds-combined-ca-bundle.pem').toString()
}
});
// connect and query
client.connect()
const result = await client.query('SELECT NOW()');
await client.end();
console.log(`Hello SQL timestamp: ${result.rows[0].now}`);
Specifically, the following resources will be created:
- AWS Security Group
- AWS Security Group Rule - Allows access to the cluster's db port:
5432
- AWS Security Group Rule - Allows access to the cluster's db port:
- AWS RDS Aurora Postgres
- Includes a single database (set by the input:
aws_postgres_database_name
. defaults toroot
)
- Includes a single database (set by the input:
Additional details about the cluster that's created:
- Automated backups (7 Days)
- Backup window 2-3 UTC (GMT)
- Encrypted Storage
- Monitoring enabled
- Sends logs to AWS Cloudwatch
For more details, see operations/deployment/terraform/postgres.tf
BitOps allows you to define Infrastructure-as-Code for multiple tools in a central place. This action uses a BitOps Operations Repository to set up the necessary Terraform and Ansible to create infrastructure and deploy to it.
We would love for you to contribute to bitovi/github-actions-deploy-docker-to-ec2. Would you like to see additional features? Create an issue or a Pull Requests. We love discussing solutions!
The scripts and documentation in this project are released under the MIT License.