docbrown/docs/maintainers/deploying.md
Alex 393ba00221
Remove Elasticsearch ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ ✂️ (#13606)
* Attempt number 1

* Fix rack_attack specs

* Fix users_searches_users spec

* Fix display_users_search_spec

* Fix comment typo

* Remove search:destroy task from cypress

* Remove port 9300 from gitpod

* Stub response in attack_spec
2021-05-03 11:09:45 -04:00

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---
title: Deployment Guide
---
# Deploying Forem
Anyone with the ability to merge PRs on GitHub can deploy the application.
**Whenever a PR is merged the code is deployed. When deploying complex code, be
sure that other team members are around to help if something goes wrong.**
Generally, it's a good idea to keep the SRE team in the loop on high risk
deploys. However, deployments are our collective responsibility, so it's
important to monitor your deploys. You can see deployment status on
Travis-ci.com and in the #deployment-pipeline channel on Slack. Be prepared to
rollback or push a fix for any deployment!
# Deployment and CI/CD Process
## Overview
Forem relies on GitHub and Travis to deploy continuously to Heroku. If a Pull
Request is merged it will automatically be deployed to production once the build
steps complete successfully. The process currently takes about 20 minutes to
complete and will need a few additional minutes before the change goes live.
## Travis Stages
The following stages can be explored in our
[.travis.yml](https://github.com/forem/forem/blob/main/.travis.yml) and
[Procfile](https://github.com/forem/forem/blob/main/Procfile). Our Travis CI
process consists of 2 stages.
1. Running our test suite in 3 parallel jobs.
2. Deploying the application.
### Stage 1: Running Tests
In stage 1, we use [KnapsackPro](https://knapsackpro.com/) to divide our Rspec
tests evenly between 3 different jobs (virtual machines). This ensures that each
job takes relatively the same amount of time to run. After running our Rspec
tests, we then run a series of other checks. These additional checks are split
up between the different jobs. Here is a list of those additional checks that
are run.
- Job 0 is where we run JavaScript tests, Preact tests, and coverage checks.
- Job 1 is where Travis builds Storybook to ensure its integrity, and where we
check for any known vulnerabilities using `bundle-audit`.
- Job 2 is where Travis fires up a Rails console to ensure the application loads
properly.
If all of the jobs pass then we move on to Stage 2 of the Travis CI process.
### Stage 2: Deploying
If the build was kicked off from a pull request being created or updated this
stage will do nothing. If the branch has been merged into main, then this stage
will kick off a deploy. The deploy will run in its own job deploying our
application to Heroku.
Prior to deploying the code, Heroku will run database migrations and do some
final checks (more information on that below) to make sure everything is working
as expected. If these all succeed, then the deploy completes and our team is
notified.
## Deploying to Heroku
We use Heroku's
[Release Phase](https://devcenter.heroku.com/articles/release-phase) feature.
Upon deploy, the app installs dependencies, bundles assets, and gets the app
ready for launch. However, before it launches and releases the app Heroku runs a
release script on a one-off dyno. If that release script/step succeeds the new
app is released on all of the dynos. If that release script/step fails then the
deploy is halted and we are notified.
The name of the script we use is `release-tasks.sh` and its in our root
directory. During this release step we do a few checks.
1. We first check the DEPLOY_STATUS environment variable. In the event that we
want to prevent deploys, for example after a rollback, we will set
DEPLOY_STATUS to "blocked". This will cause the release script to exit with a
code of 1 which will halt the deploy. This ensures that we don't accidentally
push out code while we are waiting for a fix or running other tasks.
2. We run any outstanding migrations. This ensures that a migration finishes
successfully before the code that uses it goes live.
3. We run any data update scripts that need to be run. A data update script is
one that allows us to update data in the background separate from a
migration.
4. Following updating all of our datastores we use the Rails runner to output a
simple string. Executing a Rails runner command ensures that we can boot up
the entire app successfully before it is deployed. We deploy asynchronously,
so the website is running the new code a few minutes after deploy. A new
instance of Heroku Rails console will immediately run a new code.
![](https://devcenter0.assets.heroku.com/article-images/1494371187-release-phase-diagram-3.png)