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services.tf
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services.tf
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module "service_whois" {
source = "./modules/service"
vpc_id = module.vpc.vpc_id
region = var.aws_region
is_public = true
# Service name
service_name = "service-whois"
service_base_path = [ "/whois*" ]
service_priority = 400
container_port = 8080
service_launch_type = "FARGATE"
service_healthcheck = {
healthy_threshold = 3
unhealthy_threshold = 10
timeout = 10
interval = 60
matcher = "200"
path = "/healthcheck"
port = 8080
}
# Cluster to deploy your service - see in clusters.tf
cluster_name = var.cluster_name
cluster_id = module.cluster_example.cluster_id
cluster_listener = module.cluster_example.listener
cluster_mesh = module.cluster_example.cluster_mesh
cluster_service_discovery = module.cluster_example.cluster_service_discovery
# Auto Scale Limits
desired_tasks = 2
min_tasks = 2
max_tasks = 10
# Tasks CPU / Memory limits
desired_task_cpu = 256
desired_task_mem = 512
# CPU metrics for Auto Scale
cpu_to_scale_up = 30
cpu_to_scale_down = 20
cpu_verification_period = 60
cpu_evaluation_periods = 1
# Pipeline Configuration
build_image = "aws/codebuild/docker:17.09.0"
git_repository_owner = "msfidelis"
git_repository_name = "microservice-nadave-whois"
git_repository_branch = "master"
# AZ's
availability_zones = [
module.vpc.public_subnet_1a,
module.vpc.public_subnet_1b
]
}
module "service_hash" {
source = "./modules/service"
vpc_id = module.vpc.vpc_id
region = var.aws_region
is_public = true
# Service name
service_name = "service-hash"
service_base_path = [ "/hash*" ]
service_priority = 500
container_port = 9000
service_launch_type = "FARGATE"
service_healthcheck = {
healthy_threshold = 3
unhealthy_threshold = 10
timeout = 10
interval = 60
matcher = "200"
path = "/healthcheck"
port = 9000
}
# Cluster to deploy your service - see in clusters.tf
cluster_name = var.cluster_name
cluster_id = module.cluster_example.cluster_id
cluster_listener = module.cluster_example.listener
cluster_mesh = module.cluster_example.cluster_mesh
cluster_service_discovery = module.cluster_example.cluster_service_discovery
# Auto Scale Limits
desired_tasks = 2
min_tasks = 2
max_tasks = 10
# Tasks CPU / Memory limits
desired_task_cpu = 256
desired_task_mem = 512
# CPU metrics for Auto Scale
cpu_to_scale_up = 30
cpu_to_scale_down = 20
cpu_verification_period = 60
cpu_evaluation_periods = 1
# Pipeline Configuration
build_image = "aws/codebuild/docker:17.09.0"
git_repository_owner = "msfidelis"
git_repository_name = "microservice-nadave-fake-hasher"
git_repository_branch = "master"
# AZ's
availability_zones = [
module.vpc.public_subnet_1a,
module.vpc.public_subnet_1b
]
}
module "service_faker" {
source = "./modules/service"
vpc_id = module.vpc.vpc_id
region = var.aws_region
is_public = true
# Service name
service_name = "service-faker"
service_base_path = [ "/faker*" ]
service_priority = 600
container_port = 5000
service_launch_type = "FARGATE"
service_healthcheck = {
healthy_threshold = 3
unhealthy_threshold = 10
timeout = 10
interval = 60
matcher = "200"
path = "/healthcheck"
port = 5000
}
# Cluster to deploy your service - see in clusters.tf
cluster_name = var.cluster_name
cluster_id = module.cluster_example.cluster_id
cluster_listener = module.cluster_example.listener
cluster_mesh = module.cluster_example.cluster_mesh
cluster_service_discovery = module.cluster_example.cluster_service_discovery
# Auto Scale Limits
desired_tasks = 2
min_tasks = 2
max_tasks = 10
# Tasks CPU / Memory limits
desired_task_cpu = 256
desired_task_mem = 512
# CPU metrics for Auto Scale
cpu_to_scale_up = 30
cpu_to_scale_down = 20
cpu_verification_period = 60
cpu_evaluation_periods = 1
# Pipeline Configuration
build_image = "aws/codebuild/docker:17.09.0"
git_repository_owner = "msfidelis"
git_repository_name = "microservice-nadave-fake-person"
git_repository_branch = "master"
# AZ's
availability_zones = [
module.vpc.public_subnet_1a,
module.vpc.public_subnet_1b
]
}
module "service_integration" {
source = "./modules/service"
vpc_id = module.vpc.vpc_id
region = var.aws_region
is_public = true
# Service name
service_name = "service-integration"
service_base_path = [ "/integration*" ]
service_priority = 700
container_port = 9000
service_launch_type = "FARGATE"
service_healthcheck = {
healthy_threshold = 3
unhealthy_threshold = 10
timeout = 10
interval = 60
matcher = "200"
path = "/healthcheck"
port = 9000
}
# Cluster to deploy your service - see in clusters.tf
cluster_name = var.cluster_name
cluster_id = module.cluster_example.cluster_id
cluster_listener = module.cluster_example.listener
cluster_mesh = module.cluster_example.cluster_mesh
cluster_service_discovery = module.cluster_example.cluster_service_discovery
# Auto Scale Limits
desired_tasks = 2
min_tasks = 2
max_tasks = 10
# Tasks CPU / Memory limits
desired_task_cpu = 256
desired_task_mem = 512
# CPU metrics for Auto Scale
cpu_to_scale_up = 30
cpu_to_scale_down = 20
cpu_verification_period = 60
cpu_evaluation_periods = 1
# Pipeline Configuration
build_image = "aws/codebuild/docker:17.09.0"
git_repository_owner = "msfidelis"
git_repository_name = "microservice-nadave-potato"
git_repository_branch = "master"
# AZ's
availability_zones = [
module.vpc.public_subnet_1a,
module.vpc.public_subnet_1b
]
}