this is a suite of modules that help you build an autoscaling ecs cluster. This wires up cloudwatch alarms to scale the cluster, and associated containers up and down when required.
example main.tf file:
terraform apply -var aws_region=${region} -var app_name=${app} -var environment=${environment} -var image_tag=8547322993988.dkr.ecr.eu-west-1.amazonaws.com/myapp:1.0.0
This would be an example file that uses our modules. This creates an alb, ecs cluster, and registers an ecs service in the cluster with the given docker tag.
# This makes a load balancer, no logging
module "alb" {
source = "git::https://github.com/Janus-vistaprint/terraform-autoscale-ecs.git//tf_alb"
# the load balancers name
lb_name = "${var.app_name}"
# what ports should the load balancer forward
lb_port = [80, 443]
# what incoming ips should the load balancer whitelist
lb_cidr_blocks = ['0.0.0.0/0']
public_subnets = ["sg-ids"]
vpc_id = "YOUR VPC ID"
### Optional arguments, to manage route 53"
route53_dns_name = "mytestloadbalancer.myworld.com"
# route53 DNS zone to modify
route53_dns_zone_id = "/hostedzone/123456"
}
# example of load balancer with logs being exported to S3
module "alb_log" {
source = "git::https://github.com/Janus-vistaprint/terraform-autoscale-ecs.git//tf_alb_logged"
# name of load balancer
lb_name = "${var.app_name}"
# what ports should the load balancer forward
lb_port = [80]
public_subnets = ["sg_ids"]
vpc_id = "YOUR VPC ID"
### Optional arguments, to manage route 53"
route53_dns_name = "mytestloadbalancer.myworld.com"
# route53 DNS zone to modify
route53_dns_zone_id = "/hostedzone/123456"
# optional, destroy bucket if ALB is deleted
destroy_bucket_on_delete = false
# S3 bucket to write logs to
aws_log_bucket = "my-alb-logs"
}
# This makes an ecs cluster
module "ecs" {
source = "git::https://github.com/Janus-vistaprint/terraform-autoscale-ecs.git//tf_ecs_cluster"
aws_region = "${var.aws_region}"
# how much disk should a server have in gb
asg_disk_size = 50
# minmum amount of servers a cluster should have
asg_min = "2"
# desired amount of servers a cluster should have, just remember they will scale down so I'd set this to be enough to run twice the amount of containers you are requesting below
asg_desired = "8"
# how big do you want the cluster servers You can lookup ec2 types via google
instance_type = "t2.small"
#max number of servers a cluster should have
asg_max = "100"
cluster_name = "${var.app_name}-${var.environment}"
# the security group we should allow to forward traffic to this cluster. We use the lb's security group
lb_security_group = "${module.alb.lb_security_group}"
vpc_id = "YOUR VPC ID"
private_subnets = ["subnet-ids"]
# scale cluster out on memory %
cluster_memory_scale_out = 70
# scale cluster in on memory %
cluster_memory_scale_in = 20
# scale cluster out on cpu %
cluster_cpu_scale_out = 70
# scale cluster in on cpu %
cluster_cpu_scale_in = 20
# list of instance metrics we'd like to enable, defaults to empty array
asg_metrics = ["GroupTerminatingInstances", "GroupMaxSize", "GroupDesiredCapacity", "GroupPendingInstances", "GroupInServiceInstances", "GroupMinSize", "GroupTotalInstances"]
}
# This registers a "service" (a set of containers) in the cluster made above with the image tag specified.
module "ecs_service" {
source = "git::https://github.com/Janus-vistaprint/terraform-autoscale-ecs.git//tf_ecs_default_service"
vpc_id = "YOUR VPCID"
# the port in the container we should forward traffic to
container_port = 80
# the protocol used by health checks
container_protocol = "HTTP"
# the load balancer we should connec to
lb_id = "${module.alb.lb_id}"
# the port we should take traffic from
lb_port = 80
# each sever in the ecs cluster can host multiple containers
# minium amount of containers we should always have
containers_min = "2"
# maximum amount of containers we should always have
containers_max = "1000"
# the amount of containers we would like to have
containers_desired = "4"
# soft limit for container memory in mb
# WARNING: make sure you think about the ratio of cpu:memory to use the hardware effectively. So if you want 25% of a core, make sure you allocate atleast 25% of the memory as well
container_memory_reservation = 500
# hard limit for container memory (containers will be slain if they go over this)
container_memory_hard = 1024
# the cpu units a container can request. 1024 in a core, your server size will determine your avail cores
# containers can go over the limit if resources are avalible
# http://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html
containers_cpu_unit = 256
# container scale out on cpu %
container_cpu_scale_out = 70
# container scale in on cpu %
container_cpu_scale_in = 15
# how many containers should always be around during deploy
deployment_minimum_healthy_percent = "100"
deployment_maximum_percent = "200"
deregistration_delay = "300"
#livecheck path
livecheck_path = "/livecheck"
# how often to check in seconds
livecheck_interval = 10
# how many checks are considered health
livecheck_healthy_threshold = 6
# how many checks failed are considered unhealthy
livecheck_unhealthy_threshold = 2
#docker tag url to ur container
image_tag = "${var.image_tag}"
#which cluster should we attach to
cluster_arn = "${module.ecs.cluster_arn}"
# name of the cluster we should attach to
cluster_name = "${module.ecs.cluster_name}"
#the name of this service
task_name = "${var.app_name}"
#the environment
environment = "${var.environment}"
}
provider "aws" {
region = "${var.aws_region}"
}
# aws region
variable "aws_region" {
type = "string"
}
# the name of your application
variable "app_name" {
type = "string"
}
#the environment we are deploying to
variable "environment" {
type = "string"
}
# the docker tag of your container
variable "image_tag" {
type = "string"
}
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