Deploy JFrog Artifactory in a docker container on an AWS EC2 instance using Terraform.
Artifactory data including artifacts are stored in S3. This is achieved by mounting an S3 bucket on the instance's /data
directory using s3fs, and then mounting the same directory as a data volume in the Artifactory container.
The terraform script stores the terraform state remotely in an S3 bucket. The Makefile by default sets up a copy of the remote state if it doesn’t exist and then runs either terraform plan
or terraform apply
depending on the target.
Before you run the Makefile, you should set the following environment variables to authenticate with AWS:
$ export AWS_ACCESS_KEY_ID= <your key> # to store and retrieve the remote state in s3.
$ export AWS_SECRET_ACCESS_KEY= <your secret>
$ export AWS_DEFAULT_REGION= <your bucket region e.g. us-west-2>
$ export TF_VAR_access_key=$AWS_ACCESS_KEY # exposed as access_key in terraform scripts
$ export TF_VAR_secret_key=$AWS_SECRET_ACCESS_KEY # exposed as secret_key in terraform scripts
You need to change the default values of s3_bucket
and key_name
terraform variables defined in variables.tf
or set them via environment variables:
$ export TF_VAR_s3_bucket=<your s3 bucket>
$ export TF_VAR_key_name=<your keypair name>
You also need to change the value of STATEBUCKET
in the Makefile to match that of the s3_bucket
terraform variable.
make
make apply
Upon completion, terraform will output the DNS name of Artifactory, e.g.:
artifactory_instance = [ ec2-54-244-233-202.us-west-2.compute.amazonaws.com ]
You can then reach Artifactory via your browser at http://ec2-54-244-233-202.us-west-2.compute.amazonaws.com
.
- The Makefile idea (and the Makefile itself) is taken from this blog post.
- The docker image is taken from this docker hub repo.