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Depoy Infrastructure from IaC using CTO.ai

This repo includes a complete Digital Ocean infrastructure with Kubernetes, Container Registry, MySQL, Postgres, Redis, Load Balancers and Project Resource Management all built using CDKTF & Terraform Cloud.

The repo also includes a PaaS workflow integration with CTO.ai that streamlines Developer Experience for utilizing the infrastructure, which includes interative workflows that work in the CLI & Slack, but also full CI/CD & Preview Environments for all delivery.

Pre-requesites

  • Docker, Node (NVM) 12+ & npm installed
  • Sign up for CTO.ai, setup CTO.ai team
  • Install Ops CLI, Connect Github & Slack

Follow the CTO.ai documentation to get your environment ready for start using this workflows

DigitalOcean Infrastructure

These workflows allows to manage Crystal Commerce Infrastructure over DigitalOcean, the resources that are defined for be managed are the following.

  • Docker Registry
  • Kubernetes Cluster
  • MySQL Databases
  • Postgres Databases
  • Redis Databases
  • Load balancers

You can add or remove resources changing the code of this repository or by editing the configuration parameters in your CTO.ai team.

Commands

The following are the commands already implemented in this repository and are able to run from the CLI or Slack

Sign In

In first place you need to sign in into the CTO.ai plataform for that you can run in your CLI the following command.

ops account:signin

your browser goings to pops up asking for login credentials, once done you can go back to the CLI

💻 CTO.ai - The CLI built for Teams 🚀

👋 Welcome to the The Ops CLI! 

Authenticating using Single Sign On... Finished

Authenticating... Done!

👋 Welcome back demo-user!

Team switch

You need to be sure that you are running in the right CTO.ai team, you can do it using the following command.

ops team:switch

Then select the desired team

🔍 Searching for your teams... Done
Here's the list of your teams:

 Select a team (Use arrow keys or type to search)
→ demo-user
  cto-ai

Setup

This command deploys/updates your infrastructure reading its configuration from your CTO.ai team, the following are the parameters related with the infrastructure deployment

  • DO_DEV_K8S_CONFIG: Kubernetes configuration for DEV environment.
  • DO_STG_K8S_CONFIG: Kubernetes configuration for STG environment.
  • DO_PRD_K8S_CONFIG: Kubernetes configuration for PRD environment.
  • DO_DEV_REDIS_CONFIG: Redis configuration for DEV environment.
  • DO_STG_REDIS_CONFIG: Redis configuration for STG environment.
  • DO_PRD_REDIS_CONFIG: Redis configuration for PRD environment.
  • DO_DEV_POSTGRES_CONFIG: Postgres configuration for DEV environment.
  • DO_STG_POSTGRES_CONFIG: Postgres configuration for STG environment.
  • DO_PRD_POSTGRES_CONFIG: Postgres configuration for PRD environment.
  • DO_DEV_MYSQL_CONFIG: MySQL configuration for DEV environment.
  • DO_STG_MYSQL_CONFIG: MySQL configuration for STG environment.
  • DO_PRD_MYSQL_CONFIG: MySQL configuration for PRD environment.

You can check the current values for this parameters going to your CTO.ai team. In a later section this parameters would be explained in detail.

Then you can deploy/setup your infrastructure with the following command

ops run setup

for almost all commands you going to be asked for the environment

Select a •Command, •Pipeline or •Service to run →
🌎 = Public 🔑 = Private 🖥  = Local  🔍 Search:  • 🔑  setup - Setup Kubernetes infrastructure on Digital Ocean
⚙️  Running setup...

🛠 Loading the do-k8s stack for the cto-ai team...

What is the name of the environment? [dev]: dev

Then all your infrastructure would be deployed/updated a the end you going to get some information about the resources deployed.

.
.
.
    urn: 'do:vpc:ac43df94-962a-414e-9e1f-b0dfc0755f6a'
  },
  'cross-stack-output-digitalocean_container_registryregistry-do-k8s-registryendpoint': 'registry.digitalocean.com/cto-ai',
  registry: {
    createdAt: '2022-03-04 16:40:48 +0000 UTC',
    endpoint: 'registry.digitalocean.com/cto-ai',
    id: 'cto-ai',
    name: 'cto-ai',
    region: 'fra1',
    serverUrl: 'registry.digitalocean.com',
    storageUsageBytes: 1901222912,
    subscriptionTierSlug: 'professional'
  }
}
👀 Check your Digital Ocean dashboard or Lens for status.

Happy Workflowing!

Destroy

This command is for destroy infrstructure or a service, you need to be extremly careful with this one.

ops run destroy

you going to get all the info about the destroy process, a the end a summary of the destroyed resources would be shown.

Destroying Stack: stg-do-k8s
Resources
 ✔ DIGITALOCEAN_DATABAS                     digitalocean_database_cluster.stg-do-k8
   E_CLUSTER                                s-postgres
 ✔ DIGITALOCEAN_DATABAS                     digitalocean_database_cluster.stg-do-k8
   E_CLUSTER                                s-redis-1
 ✔ DIGITALOCEAN_DATABAS                     digitalocean_database_cluster.stg-do-k8
   E_CLUSTER                                s-redis-2
 ✔ DIGITALOCEAN_DATABAS                     digitalocean_database_db.stg-do-k8s-db
   E_DB
 ✔ DIGITALOCEAN_DATABAS                     digitalocean_database_user.stg-do-k8s-d
   E_USER                                   b-user
 ✔ DIGITALOCEAN_KUBERNE                     digitalocean_kubernetes_cluster.stg-do-
   TES_CLUSTER                              k8s-k8s
 ✔ DIGITALOCEAN_PROJECT                     digitalocean_project.stg-do-k8s-project
 ✔ DIGITALOCEAN_PROJECT                     digitalocean_project_resources.stg-do-k
   _RESOURCES                               8s-resources
 ✔ DIGITALOCEAN_VPC                         digitalocean_vpc.stg-do-k8s-vpc

Summary: 9 destroyed.

Deploy

This command deploys a Service Docker Image into Kubernetes cluster applying all configurations defined for each service in CTO.ai team. it includes a certain number of replicas, a load balancer, health checks and set some environment variables. The parameters that are consider for this config are the following.

  • DO_DEV_SERVICES: Services settings for DEV environment.
  • DO_STG_SERVICES: Services settings for STG environment.
  • DO_PRD_SERVICES: Services settings for PRD environment.

The command is the following.

ops run deploy

We going to be asked for which service we want to deploy (service are get from config)

Select a •Command, •Pipeline or •Service to run →
🌎 = Public 🔑 = Private 🖥  = Local  🔍 Search:  • 🔑  deploy - Deploy a service to Kubernetes infrastructure on DigitalOcean
⚙️  Running deploy...

🛠 Loading the do-k8s stack for the cto-ai team...

What is the name of the environment?: dev
What is the name of the application repo?:
  my-service-app
> my-service-api
  my-service-backend

then it ask again for the tag of the image that we want to deploy

What is the name of the environment?: dev
What is the name of the application repo?: my-service-api
What is the name of the tag or branch?: do-dev

after the process completes we got a confirmation

✅ Deployed. Load Balancer may take some time to provision on your first deploy.
✅ View state in Terraform Cloud (https://app.terraform.io/app/cto-ai/workspaces/).
👀 Check your Digital Ocean dashboard or Lens.app for status & IP.

Happy Workflowing!

Vault

This command allows to manage secrets in Kubernetes, these secrets are inyected as environment variables to your pods in Kubernetes.

  • Init
    This command option allows you to initialize the vault, and it should be executed when you create a new Kubernetes cluster.
ops run . vault init
  • Set
    Set command option creates or update a new key/value pair in the vault
ops run . vault set

then you just need to provide the environment, key and value

⚙️  Running vault...
🛠 Loading the do-k8s stack for the cto-ai team...
What is the name of the environment?: dev
What is the key for the secret?: test-key
What is the value for the secret?: test-val
Are you sure you want to set test-key to test-val in the dev-do-k8s? → yes
Notice: Adding cluster credentials to kubeconfig file found in "/home/ops/.kube/config"
Notice: Setting current-context to do-nyc3-dev-k8s-cto-ai-02022022

⚡️ Confirming connection to dev-k8s-cto-ai-02022022:
NAME                                                 STATUS   ROLES    AGE   VERSION
dev-do-k8s-k8s-node-cto-ai-02022022-c3flc   Ready    <none>   41d   v1.22.7
dev-do-k8s-k8s-node-cto-ai-02022022-c3flu   Ready    <none>   41d   v1.22.7
dev-do-k8s-k8s-node-cto-ai-02022022-c8lk1   Ready    <none>   35d   v1.22.7

🔐 Setting test-key to test-val on the dev-do-k8s with type string
✅ test-key set to test-val in the dev-do-k8s vault
  • List
    This command option list all key/value pairs in the vault
ops run . vault ls

Select a •Command, •Pipeline or •Service to run →
🌎 = Public 🔑 = Private 🖥  = Local  🔍 Search:  • 🖥   vault - manage secrets vault
⚙️  Running vault...
🛠 Loading the do-k8s stack for the cto-ai team...
What is the name of the environment?: dev
Notice: Adding cluster credentials to kubeconfig file found in "/home/ops/.kube/config"
Notice: Setting current-context to do-nyc3-dev-k8s-cto-ai-02022022

⚡️ Confirming connection to dev-k8s-cto-ai-02022022:
NAME                                                 STATUS   ROLES    AGE   VERSION
dev-do-k8s-k8s-node-cto-ai-02022022-c3flc   Ready    <none>   41d   v1.22.7
dev-do-k8s-k8s-node-cto-ai-02022022-c3flu   Ready    <none>   41d   v1.22.7
dev-do-k8s-k8s-node-cto-ai-02022022-c8lk1   Ready    <none>   35d   v1.22.7

🔐 dev-do-k8s has the following secrets: 
test-key: test-val
  • Delete
    This option allows to delete any key value pair from the vault
ops run . vault rm

Select a •Command, •Pipeline or •Service to run →
🌎 = Public 🔑 = Private 🖥  = Local  🔍 Search:  • 🖥   vault - manage secrets vault
⚙️  Running vault...
🛠 Loading the do-k8s stack for the cto-ai team...
What is the name of the environment?: dev
What is the key for the secret?: test-key
Are you sure you want to remove test-key from the dev-do-k8s vault? → yes
Notice: Adding cluster credentials to kubeconfig file found in "/home/ops/.kube/config"
Notice: Setting current-context to do-nyc3-dev-k8s-cto-ai-02022022

⚡️ Confirming connection to dev-k8s-cto-ai-02022022:
NAME                                                 STATUS   ROLES    AGE   VERSION
dev-do-k8s-k8s-node-cto-ai-02022022-c3flc   Ready    <none>   42d   v1.22.7
dev-do-k8s-k8s-node-cto-ai-02022022-c3flu   Ready    <none>   42d   v1.22.7
dev-do-k8s-k8s-node-cto-ai-02022022-c8lk1   Ready    <none>   36d   v1.22.7

🔐 Deleting test-key from the dev-do-k8s vault
✅ test-key removed from the dev-do-k8s vault
  • Destroy
    This vault option destroys the vault from the Kubernetes cluster, so you need to be extremly careful with this, because after the deletion you going to lose all you key/value for the selected environment
ops run . vault destroy

Service and Infrastructure Configuration

Most of the changes against infrastructure and services can be done without modify the code, just adjusting the parameters in CTO.ai team config.Then you can re-run ops run setup for apply the changes in infrastructure and re-run ops run deploy for apply changes in services.

Kubernetes capacity setup

These parameters set the Kubernetes capacity cluster depending on the environment and taking this values from the config in the CTO's team. The definition of the size of the cluster is given in the following 3 config parameters:

  • DO_DEV_K8S_CONFIG
  • DO_STG_K8S_CONFIG
  • DO_PRD_K8S_CONFIG

One parameter for each environment, this config parameter is a string cotaining a json in the following format:

{ 
 "dropletSize": "s-1vcpu-2gb", 
 "nodeCount": 3, 
 “minNodes": 1, 
 "maxNodes": 5, 
 "autoScale": true 
}

Redis, MySQL, Postgres Cluster Capacity/Scale Setup

The same aproach can be used for other resources, like in this case a Redis, MySQL and Postgres clusters which is defined by the following parameters:

  • DO_DEV_REDIS_CONFIG
  • DO_STG_REDIS_CONFIG
  • DO_PRD_REDIS_CONFIG
  • DO_DEV_MYSQL_CONFIG
  • DO_STG_MYSQL_CONFIG
  • DO_PRD_MYSQL_CONFIG
  • DO_DEV_POSTGRES_CONFIG
  • DO_STG_POSTGRES_CONFIG
  • DO_PRD_POSTGRES_CONFIG

In this case the redis clustre config string has the following format.

[
  {
    "name": "my-service-api-redis",
    "dropletSize": "db-s-1vcpu-1gb",
    "nodeCount": 1,
    "version": "6"
  },
  {
    "name": "my-service-app-redis",
    "dropletSize": "db-s-1vcpu-1gb",
    "nodeCount": 1,
    "version": "6"
  }
]

The same aproach is used for MySQL and Postgres

[
  {
    "name": "my-service-api-db",
    "dropletSize": "db-s-1vcpu-1gb",
    "nodeCount": 1,
    "version": "8",
    "db_user": "my-service-api",
    "db_name": "dev-my-service-api-db",
    "auth": "mysql_native_password"
  },
  {
    "name": "my-service-app-db",
    "dropletSize": "db-s-1vcpu-1gb",
    "nodeCount": 1,
    "version": "8",
    "db_user": "my-service-app-db",
    "db_name": "dev-my-service-app-db",
    "auth": "mysql_native_password"
  }
]

Services Parameters Definition

To setup multiple services in the same cluster, we store all the deployment paramenters like port, replicas, etc. as config parameter in CTO.ai team, it would makes deployments easier. The variables as shown before would be by environment as follows.

  • DO_DEV_SERVICES
  • DO_STG_SERVICES
  • DO_PRD_SERVICES

It containes an array of services with parameters in json format.

{ 
	"sample-app": 
		{ 
			"replicas" : 2, 
			"ports" : [ { 
				"containerPort" : 3000 
			} ], 
			"lb_ports" : [ { 
				"protocol": "TCP", 
				"port": 3000, 
				"targetPort": 3000 
			} ], 
			"hc_port": 3000 
		 }
}

Maping vault secrets to environment variables in a pod

Since in many cases you have to deploy multiple services using the same vault, you can find cases in which a varable name is the same for different services and generates conflicts, in order to solve this issue you can use map parameter in the json string for services, this allows you to map this variables. following is the json for a sample service.

{ 
	"sample-expressjs": { 
				"replicas" : 2, 
				"ports" : [ { 
					"containerPort" : 3000 
					} ], 
				"lb_ports" : [ {
					 "protocol": "TCP", 
					"port": 3000, 
					"targetPort": 3000 
					} ], 
				"hc_port": 3000, 
				"sticky_sessions": "no",
				"map": { 
					"DB_HOST" : "SP_DB_HOST", 
					"DB_USER":"SP_DB_USER", 
					"DB_PASS":"SP_DB_PASS", 
					"DB_PORT":"SP_DB_PORT", 
					"DB_NAME":"SP_DB_NAME"
				}
	 } 
}

each pair maps pod env variable to vault variable so for example DB_HOST in the pod going to have the value of SP_DB_HOST from the vault.

License

MIT