README.md

Description

This is twitter-analytics example with a simple application CD pipeline configured in Concourse CI.

The pipeline gives you an idea on how to:

Make sure Aptomi is running locally and Twitter Analytics example is already imported

Start Concourse CI locally via Docker Compose:

cd ~/.aptomi/examples/twitter-analytics-with-concourse-ci
curl -o docker-compose.yml https://concourse-ci.org/docker-compose.yml
docker-compose up -d

Check that UI is available at http://localhost:8080/. Log into the default team 'main'. It will NOT ask you for password, that's normal.

Install fly CLI tool for interacting with Concourse CI (you may want to use the latest release if it's later than 3.11.0):

curl -L -o fly https://github.com/concourse/concourse/releases/download/v3.11.0/fly_darwin_amd64
chmod +x fly
mv fly /usr/local/bin/fly

Create a new repo on GitHub where your CI/CD jobs (which run on Concourse CI workers in containers) will be taking the data from
Run the script to initialize your new repo and push the contents of twitter-analytics-git-repo into it:
```
./update-repo.sh [URI_OF_YOUR_CREATED_GIT_REPO]
```
Import Aptomi pipeline into Concourse CI, point it to your repo. It's a good idea to use public repo and "Clone with HTTPS" target, so that CI Job actually has permissions to clone the repo:
```
./pipelines-upload.sh [URI_OF_YOUR_CREATED_GIT_REPO]
```
Check that the pipeline is displayed in Concourse UI. You should be able to see
The pipeline is configured in such a way that all jobs/tasks need to be triggered manually. You can do it with "+" button in UI inside every job.
Once you run jobs, you will see that individual tasks make calls to Aptomi to deploy/destruct complete application environments