aws-config

This repo is used to create a docker image of the nsfcareer environment.

Basically, after creating an instance we install docker on the instance and then run the dockerfile.

The dockerfile calls the docker_scripts/config_bash.sh script that has all the steps to make our environment.

To create docker image

Login into AWS and make a Ubuntu instance

• Step 1 Choose an Instance: Ubuntu Server 18.04 LTS, 64 bit, General Purpose
• Step 2 Choose and Instance Type: t2.2xlarge (8 vCPUs, 32 GiB)
• Step 3 Configure Instance Details: Take defaults but under the "Advanced Details" option select User data -> "As file" -> Select "create_docker_image.sh" from your local machine. This file is uploaded and run as part of the instance's initiation procedure and will run the Dockerfile and create the docker image.
• Step 4 Add Storage: Change 8 to 25 GB
• Step 5 Add Tags: Take defaults
• Step 6 Configure Security Group: Under "Assign a security group" select, "select an existing security group" and choose nsfcareer. If you do not see that, you need to have ports 80 and 3000 open for Docker to work.

Once docker image is created, you can test it:

List the images created:

sudo docker ps -a OR sudo docker image ls

Run the docker image:

List all docker images :

sudo docker ps

Then find the docker name of your image you build

sudo docker run -it -p 80:3000 imagename

You will get Docker Shell

# Run the following commands : 

$ cd /home/ubuntu/rbf-brain-nodejs-service

# Update the AWS Credentials
$ vim config/configuration_keys.json

# Save changes in configuration_keys.json file

# Now run command to set up node process for production
$ forever start server.js

# VERY IMPORTANT AFTER EXECUTING THE ABOVE COMMANDS
# DON'T EXIT TERMINAL BY TYPING `exit` in TERMINAL INSTEAD 
# CLOSE THE TERMINAL FROM TOP RIGHT CORNER `CLOSE BUTTON`

THE ENDPOINT OF YOUR NODEJS SERVICE OF COMPUTE INSTANCE IS :

http:ec-2-DNS-ENDPOINT/api/

Once inside the image:

• You can see the TestingProcedures.md to check all the codes that were compiled.

Commit and push to dockerhub

sudo docker login -u USERNAME_ON_DOCKERHUB (be sure to have an account at https://hub.docker.com/)

sudo docker tag DOCKER_IMAGE_NAME USERNAME_ON_DOCKERHUB/nsfcareer:latest

sudo docker push USERNAME_ON_DOCKERHUB/nsfcareer:latest