Parameterize max number of pods

Author: vivid-cpreston

.github/workflows/terragrunt-deploy.yml

@@ -192,6 +192,7 @@ jobs:
           WFPREV_API_IMAGE: ${{ steps.getDigestAPI.outputs.IMAGE_API_BY_DIGEST }}
           WFPREV_API_CPU_UNITS: ${{vars.WFPREV_API_CPU_UNITS}}
           WFPREV_API_MEMORY: ${{vars.WFPREV_API_MEMORY}}
+          WFPREV_MAX_SCALING_CAPACITY: ${{vars.WFPREV_MAX_SCALING_CAPACITY}}
           WFPREV_API_PORT: ${{vars.WFPREV_API_PORT}}
           TARGET_AWS_ACCOUNT_ID: ${{secrets.TARGET_AWS_ACCOUNT_ID}}
           WFPREV_CLIENT_ID: ${{vars.WFPREV_CLIENT_ID}}

terraform/autoscaling.tf

@@ -3,7 +3,7 @@ resource "aws_appautoscaling_target" "wfprev_target" {
    resource_id        = "service/${aws_ecs_cluster.wfprev_main.name}/${aws_ecs_service.wfprev_server.name}"
    scalable_dimension = "ecs:service:DesiredCount"
    min_capacity       = 1
-   max_capacity       = 10
+   max_capacity       = var.WFPREV_MAX_SCALING_CAPACITY
 }
 
 # Automatically scale capacity up by one

terraform/terragrunt.hcl

@@ -37,6 +37,7 @@ WFPREV_API_NAME = "${get_env("WFPREV_API_NAME")}"
 WFPREV_API_IMAGE = "${get_env("WFPREV_API_IMAGE")}"
 WFPREV_API_CPU_UNITS = "${get_env("WFPREV_API_CPU_UNITS")}"
 WFPREV_API_MEMORY = "${get_env("WFPREV_API_MEMORY")}"
+WFPREV_MAX_SCALING_CAPACITY = "${get_env("WFPREV_MAX_SCALING_CAPACITY")}"
 WFPREV_API_PORT = "${get_env("WFPREV_API_PORT")}"
 WFPREV_CLIENT_ID = "${get_env("WFPREV_CLIENT_ID")}"
 WFPREV_CLIENT_SECRET = "${get_env("WFPREV_CLIENT_SECRET")}"

terraform/variables.tf

@@ -35,6 +35,11 @@ variable "WFPREV_API_MEMORY" {
   type        = number
 }
 
+variable "WFPREV_MAX_SCALING_CAPACITY" {
+  description = "Maximum number of pods to scale to"
+  type = number
+}
+
 variable "WFPREV_LAMBDA_MEMORY" {
   description = "lambda memory to provision (in MiB)"
   type        = number