# Heroku to Control Plane `cpl` CLI
_A playbook for migrating from [Heroku](https://heroku.com) to [Control Plane](https://controlplane.com)_
[![RSpec](https://github.com/shakacode/heroku-to-control-plane/actions/workflows/rspec.yml/badge.svg)](https://github.com/shakacode/heroku-to-control-plane/actions/workflows/rspec.yml)
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[![Gem](https://badge.fury.io/rb/cpl.svg)](https://badge.fury.io/rb/cpl)
This playbook shows how to move "Heroku apps" to "Control Plane workloads" via an open-source `cpl` CLI on top of
Control Plane's `cpln` CLI.
Heroku provides a UX and CLI that enables easy publishing of Ruby on Rails and other apps. This ease of use comes via
many "Heroku" abstractions and naming conventions.
Control Plane, on the other hand, gives you access to raw cloud computing power. However, you need to know precisely how
to use it.
To simplify migration to and usage of Control Plane for Heroku users, this repository provides a **concept mapping** and
a **helper CLI** based on templates to save lots of day-to-day typing (and human errors).
1. [Key Features](#key-features)
2. [Concept Mapping](#concept-mapping)
3. [Installation](#installation)
4. [Steps to Migrate](#steps-to-migrate)
5. [Config](#config)
6. [Environment](#environment)
7. [Database](#database)
8. [In-memory Databases](#in-memory-databases)
9. [Scheduled Jobs](#scheduled-jobs)
10. [CLI Commands Reference](#cli-commands-reference)
11. [Mapping of Heroku Commands to `cpl` and `cpln`](#mapping-of-heroku-commands-to-cpl-and-cpln)
12. [Examples](#examples)
13. [Migrating Postgres Database from Heroku Infrastructure](/docs/postgres.md)
14. [Migrating Redis Database from Heroku Infrastructure](/docs/redis.md)
15. [Tips](/docs/tips.md)
## Key Features
- A `cpl` command to complement the default Control Plane `cpln` command with "Heroku style scripting." The Ruby source
can serve as inspiration for your own scripts.
- Easy to understand Heroku to Control Plane conventions in setup and naming.
- **Safe, production-ready** equivalents of `heroku run` and `heroku run:detached` for Control Plane.
- Automatic sequential release tagging for Docker images.
- A project-aware CLI that enables working on multiple projects.
## Concept Mapping
On Heroku, everything runs as an app, which means an entity that:
- runs code from a Git repository.
- runs several process types, as defined in the `Procfile`.
- has dynos, which are Linux containers that run these process types.
- has add-ons, including the database and other services.
- has common environment variables.
On Control Plane, we can map a Heroku app to a GVC (Global Virtual Cloud). Such a cloud consists of workloads, which can
be anything that can run as a container.
| Heroku | Control Plane |
| ---------------- | ------------------------------------------- |
| _app_ | _GVC_ (Global Virtual Cloud) |
| _dyno_ | _workload_ |
| _add-on_ | either a _workload_ or an external resource |
| _review app_ | _GVC (app)_ in staging _organization_ |
| _staging env_ | _GVC (app)_ in staging _organization_ |
| _production env_ | _GVC (app)_ in production _organization_ |
On Heroku, dyno types are specified in the `Procfile` and configured via the CLI/UI; add-ons are configured only via the
CLI/UI.
On Control Plane, workloads are created either by _templates_ (preferred way) or via the CLI/UI.
For the typical Rails app, this means:
| Function | Examples | On Heroku | On Control Plane |
| --------------- | -------------------- | ------------- | ----------------------------------------------------------------------------------------------------------------- |
| web traffic | `rails`, `sinatra` | `web` dyno | workload with app image |
| background jobs | `sidekiq`, `resque` | `worker` dyno | workload with app image |
| db | `postgres`, `mysql` | add-on | external provider or can be set up for development/testing with Docker image (lacks persistence between restarts) |
| in-memory db | `redis`, `memcached` | add-on | external provider or can be set up for development/testing with Docker image (lacks persistence between restarts) |
| others | `mailtrap` | add-on | external provider or can be set up for development/testing with Docker image (lacks persistence between restarts) |
## Installation
1. Install [Node.js](https://nodejs.org/en) (required for Control Plane CLI).
2. Install [Ruby](https://www.ruby-lang.org/en/) (required for these helpers).
3. Install Control Plane CLI (adds `cpln` command) and configure credentials.
```sh
npm install -g @controlplane/cli
cpln login
```
4. Install Heroku to Control Plane `cpl` CLI, either as a [Ruby gem](https://rubygems.org/gems/cpl) or a local clone.
For information on the latter, see [CONTRIBUTING.md](CONTRIBUTING.md).
```sh
gem install cpl
```
**Note:** Do not confuse the `cpl` CLI with the `cpln` CLI. The `cpl` CLI is the Heroku to Control Plane playbook CLI.
The `cpln` CLI is the Control Plane CLI.
## Steps to Migrate
Click [here](/docs/migrating.md) to see the steps to migrate.
## Config
Here's a complete example of all supported config keys explained:
```yaml
# Keys beginning with "cpln_" correspond to your settings in Control Plane.
aliases:
common: &common
# Organization name for staging (customize to your needs).
# Production apps will use a different organization, specified below, for security.
cpln_org: my-org-staging
# Example apps use only one location. Control Plane offers the ability to use multiple locations.
default_location: aws-us-east-2
# Allows running the command `cpl setup-app`
# instead of `cpl apply-template gvc redis postgres memcached rails sidekiq`.
setup:
- gvc
- redis
- postgres
- memcached
- rails
- sidekiq
# Configure the workload name used as a template for one-off scripts, like a Heroku one-off dyno.
one_off_workload: rails
# Workloads that are for the application itself and are using application Docker images.
app_workloads:
- rails
- sidekiq
# Additional "service type" workloads, using non-application Docker images.
additional_workloads:
- redis
- postgres
- memcached
# Configure the workload name used when maintenance mode is on (defaults to "maintenance").
maintenance_workload: maintenance
# Fixes the remote terminal size to match the local terminal size
# when running the commands `cpl run` or `cpl run:detached`.
fix_terminal_size: true
# Apps with a deployed image created before this amount of days will be listed for deletion
# when running the command `cpl cleanup-stale-apps`.
stale_app_image_deployed_days: 5
# Images that exceed this quantity will be listed for deletion
# when running the command `cpl cleanup-images`.
image_retention_max_qty: 20
# Images created before this amount of days will be listed for deletion
# when running the command `cpl cleanup-images` (`image_retention_max_qty` takes precedence).
image_retention_days: 5
# Run workloads created before this amount of days will be listed for deletion
# when running the command `cpl run:cleanup`.
stale_run_workload_created_days: 2
apps:
my-app-staging:
# Use the values from the common section above.
<<: *common
my-app-review:
<<: *common
# If `match_if_app_name_starts_with` is `true`, then use this config for app names starting with this name,
# e.g., "my-app-review-pr123", "my-app-review-anything-goes", etc.
match_if_app_name_starts_with: true
my-app-production:
<<: *common
# Use a different organization for production.
cpln_org: my-org-production
# Allows running the command `cpl promote-app-from-upstream -a my-app-production`
# to promote the staging app to production.
upstream: my-app-staging
# Used by the command `cpl promote-app-from-upstream` to run a release script before deploying.
# This is relative to the `.controlplane/` directory.
release_script: release_script
my-app-other:
<<: *common
# You can specify a different `Dockerfile` relative to the `.controlplane/` directory (defaults to "Dockerfile").
dockerfile: ../some_other/Dockerfile
```
## Environment
There are two main places where we can set up environment variables in Control Plane:
- **In `workload/container/env`** - those are container-specific and must be set up individually for each container.
- **In `gvc/env`** - this is a "common" place to keep env vars which we can share among different workloads. Those
common variables are not visible by default, and we should explicitly enable them via the `inheritEnv` property.
Generally, `gvc/env` vars are useful for "app" types of workloads, e.g., `rails`, `sidekiq`, as they can easily share
common configs (the same way as on a Heroku app). They are not needed for non-app workloads, e.g., `redis`, `memcached`.
It is ok to keep most of the environment variables for non-production environments in the app templates as, in general,
they are not secret and can be committed to the repository.
It is also possible to set up a Secret store (of type `Dictionary`), which we can reference as, e.g.,
`cpln://secret/MY_SECRET_STORE_NAME/MY_SECRET_VAR_NAME`. In such a case, we must set up an app Identity and proper
Policy to access the secret.
```yaml
# In `templates/gvc.yml`:
spec:
env:
- name: MY_GLOBAL_VAR
value: 'value'
- name: MY_SECRET_GLOBAL_VAR
value: 'cpln://secret/MY_SECRET_STORE_NAME/MY_SECRET_GLOBAL_VAR'
# In `templates/rails.yml`:
spec:
containers:
- name: rails
env:
- name: MY_LOCAL_VAR
value: 'value'
- name: MY_SECRET_LOCAL_VAR
value: 'cpln://secret/MY_SECRET_STORE_NAME/MY_SECRET_LOCAL_VAR'
inheritEnv: true # To enable global env inheritance.
```
## Database
There are several options for a database setup on Control Plane:
- **Heroku Postgres**. It is the least recommended but simplest. We only need to provision the Postgres add-on on Heroku
and copy its `XXXXXX_URL` connection string. This is good for quick testing but unsuitable for the long term.
- **Control Plane container**. We can set it up as a workload using one of the default
[Docker Hub](https://hub.docker.com/) images. However, such a setup lacks persistence between container restarts. We
can use this only for an example or test app where the database doesn't keep any serious data and where such data is
restorable.
- Any other cloud provider for Postgres, e.g., Amazon's RDS can be a quick go-to. Here are
[instructions for setting up a free tier of RDS](https://aws.amazon.com/premiumsupport/knowledge-center/free-tier-rds-launch/).
**Tip:** If you are using RDS for development/testing purposes, you might consider running such a database publicly
accessible (Heroku actually does that for all of its Postgres databases unless they are within private spaces). Then we
can connect to such a database from everywhere with only the correct username/password.
By default, we have structured our templates to accomplish this with only a single free tier or low tier AWS RDS
instance that can serve all your development/testing needs for small/medium applications, e.g., as follows:
```sh
aws-rds-single-pg-instance
mydb-staging
mydb-review-111
mydb-review-222
mydb-review-333
```
Additionally, we provide a default `postgres` template in this repository optimized for Control Plane and suitable for
development purposes.
## In-memory Databases
E.g., Redis, Memcached.
For development purposes, it's useful to set those up as Control Plane workloads, as in most cases, they don't keep any
valuable data and can be safely restarted, which doesn't affect application performance.
For production purposes or where restarts are not an option, you should use external cloud services.
We provide default `redis` and `memcached` templates in this repository optimized for Control Plane and suitable for
development purposes.
## Scheduled Jobs
Control Plane supports scheduled jobs via [cron workloads](https://docs.controlplane.com/reference/workload#cron).
Here's a partial example of a template for a cron workload, using the app image:
```yaml
kind: workload
name: daily-task
spec:
type: cron
job:
# Run daily job at 2am.
schedule: 0 2 * * *
# "Never" or "OnFailure"
restartPolicy: Never
containers:
- name: daily-task
args:
- bundle
- exec
- rails
- db:prepare
image: "/org/APP_ORG/image/APP_IMAGE"
```
A complete example can be found at [templates/daily-task.yml](templates/daily-task.yml), optimized for Control Plane and
suitable for development purposes.
You can create the cron workload by adding the template for it to the `.controlplane/templates/` directory and running
`cpl apply-template my-template -a my-app`, where `my-template` is the name of the template file (e.g., `my-template.yml`).
Then to view the logs of the cron workload, you can run `cpl logs -a my-app -w my-template`.
## CLI Commands Reference
Click [here](/docs/commands.md) to see the commands.
You can also run the following command:
```sh
cpl --help
```
## Mapping of Heroku Commands to `cpl` and `cpln`
| Heroku Command | `cpl` or `cpln` |
| -------------------------------------------------------------------------------------------------------------- | ------------------------------- |
| [heroku ps](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-ps-type-type) | `cpl ps` |
| [heroku config](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-config) | ? |
| [heroku maintenance](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-maintenance) | `cpl maintenance` |
| [heroku logs](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-logs) | `cpl logs` |
| [heroku pg](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-pg-database) | ? |
| [heroku pipelines:promote](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-pipelines-promote) | `cpl promote-app-from-upstream` |
| [heroku psql](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-psql-database) | ? |
| [heroku redis](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-redis-database) | ? |
| [heroku releases](https://devcenter.heroku.com/articles/heroku-cli-commands#heroku-releases) | ? |
## Examples
- See the `examples/` and `templates/` directories of this repository.
- See the `.controlplane/` directory of this live example:
[react-webpack-rails-tutorial](https://github.com/shakacode/react-webpack-rails-tutorial/tree/master/.controlplane)