deployment-api

graphnode-technologies/deployment-api/kubernetes

Terraform Module HCL KUBERNETES

Create a deployment in Kubernetes with autoscaling, service and nginx ingress ready for production.

Install

module "deployment-api" {

source = "graphnode-technologies/deployment-api/kubernetes"

version = "1.4.1"

}

plain text: /constructs/tfmod-graphnode-technologies-deployment-api-kubernetes/install.txt

⭐ Source on GitHub 📦 Registry page

README

terraform-kubernetes-deployment-api This Terraform module creates a Deployment for Kubernetes along with a Horizontal Pod Autoscaler and a Service. The deployment includes a container with various configurations such as environment variables, volumes, resources, liveness and startup probes, etc. How to use ``hcl module "deployment" { source = "graphnode-technologies/deployment-api/kubernetes" version = "1.4.0" name = "example" namespace = "default" replicas = 1 image = "nginx:latest" args = ["nginx", "-g", "daemon off;"] service_account_name = "example-service-account" environment_vars = { EXAMPLE_VAR = "example_value" } } ` Resources created - Kubernetes Deployment - Kubernetes Horizontal Pod Autoscaler (optional) - Kubernetes Service (optional) - Kubernetes Ingress (optional) Inputs | Na

Inputs (24)

Name	Type	Default
image	string	required
service_account_name	string	`""`
replicas	number	`1`
requests	object({ memory = string	`{ "cpu": "10m", "memory": "50Mi" }`
limits	object({ memory = string	`{ "cpu": "250m", "memory": "500Mi" }`
args	list	`[]`
extra_annotations	map	`{}`
extra_volume_secrets	map	`{}`
health_check	object({ path = string	`{ "path": "/health", "port": 3000 }`
name	string	`"main"`
namespace	string	`"default"`
extra_ingress_annotations	map	`{}`
extra_volume_mounts	map	`{}`
environment_vars	map	`{}`
secret_environment_vars	map	`{}`
enable_liveness	bool	`true`
create_ingress	bool	`true`
max_replicas	number	`1`
domain_name	string	`""`
create_service	bool	`true`
startup_failure_threshold	number	`30`