We shall be building a secure and resilient 3 Tier infrastructure inside our own AWS Virtual Private Cloud network for the McQuire Intel company (which uses WordPress CMS for its main business website, and a Tooling Website for their DevOps team.
For improved security and performance, a decision has been made to use a reverse proxy and we shall use NGINX to achieve this.
Please note: In this project we shall be creating AWS resources. In the next version of this project, we shall refactor our code into modules.
Jump to the modularised version here
It will be made up 3 Tiers:
Layer 1. Public subnets to host our bastion and nat gateway
Layer 2: Private subnet to host our webservers
Layer 3: Data layer to host our Elastic File System EFS and RDS database.
Of major importance to this project are Cost, Security, Scalability, availability, resilience, and monitoring.
Skills Required : AWS, Terraform, Linux scripting
For our entire infrastructure, we will be creating, implementing Infrastructure as code using Terraform which is a cloud agnostic IAC tool. We shall maintain state using a remote backend to enable effective collaboration from the teams using S3 and Dynamo DB.
We shall be creating the following resources in a 3 tier, multi AZ architecture.
- Route 53 DNS which will use a custom domain naim and be the entry point to our Load balancer
- VPC to isolate our infrastructure in the cloud
- Private and Public Subnets to group our resources according to need.
- Elastic Load balancer to route traffic to our highly available nginx reverse proxy servers
- Target groups for our Load Balancer
- Auto scaling groups for our Nginx server and web servers
- Launch Templates for our autoscaling groups
- Security groups associated with every resource and configured to only allow certain type of traffic from certain ports or IP's
- Bastion host in a public subnet for SSH access into other servers.
- Internet gateway to be accessible to the public internet
- Nat Gateway to give internet access to the private subnet
- S3 Object storage will be used to store our terraform state with state locking enabled. Dynamo DB will be used for this.
We shall use shell scripts to bootstrap our instances and install all the prerequisites such as nginx,mysql,ansible,Apache etc
I installed the following extentions for Terraform in VSCode
-- Terraform Configuration
--Hashicorp Syntax Highlighting
I created an S3 bucket in the AWS console called dele-dev-terraform-bucket to store the Terraform state file
I created an IAM user called Bandelero and gave the user AdministrativeAccess permissions.
Next I created Access Keys for AWS CLI or programmatic access and also installed Python SDK (boto3)
I ran the following command to ensure that I could programatically access my AWS resources
import boto3
s3 = boto3.resource('s3')
for bucket in s3.buckets.all():
print(bucket.name)
My S3 bucket dele-dev-terraform-bucket details successfully retrieved
I created main.tf in the Terraform project folder
Get list of availability zones
data "aws_availability_zones" "available" {
state = "available"
}
The data can be retrieved with data.aws_availability_zones.available.names
Store desired region in a variable
variable "region" {
default = "eu-west-2"
}
Store desired VPC CIDR range in a variable
variable "vpc_cidr" {
default = "172.16.0.0/16"
}
Store other VPC desired settings in variables
variable "enable_dns_support" {
default = "true"
}
variable "enable_dns_hostnames" {
default ="true"
}
variable "enable_classiclink" {
default = "false"
}
variable "enable_classiclink_dns_support" {
default = "false"
}
Declare a variable to store the desired number of public subnets, and set the default value
variable "preferred_number_of_public_subnets" {
default = 2
}
Instruct terraform that the provider is AWS
provider "aws" {
region = var.region
}
Create VPC using variables set above
resource "aws_vpc" "main" {
cidr_block = var.vpc_cidr
enable_dns_support = var.enable_dns_support
enable_dns_hostnames = var.enable_dns_hostnames
enable_classiclink = var.enable_classiclink
enable_classiclink_dns_support = var.enable_classiclink_dns_support
}
Create public subnets
resource "aws_subnet" "public" {
count = var.preferred_number_of_public_subnets == null ? length(data.aws_availability_zones.available.names) : var.preferred_number_of_public_subnets
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet(var.vpc_cidr,4,count.index)
map_public_ip_on_launch = true
availability_zone = data.aws_availability_zones.available.names[count.index]
tags = {
Name = "public-subnet"
}
}
The first part var.preferred_number_of_public_subnets == null checks if the value of the variable is set to null or has some value defined. The second part ? and length(data.aws_availability_zones.available.names) means, if the first part is true, then use this. In other words, if preferred number of public subnets is null (Or not known) then set the value to the data returned by lenght function. The third part : and var.preferred_number_of_public_subnets means, if the first condition is false, i.e preferred number of public subnets is not null then set the value to whatever is definied in var.preferred_number_of_public_subnets
I ran terraform plan
terraform plan
To keep the code clean and efficient, I refactored the code by doing the following
I created a new file called variables.tf and copied all the variable declarations into it from main.tf. I created another file named terraform.tfvars and set values for each of the variables.
Get list of availability zones
data "aws_availability_zones" "available" {
state = "available"
}
provider "aws" {
region = var.region
}
Create VPC
resource "aws_vpc" "main" {
cidr_block = var.vpc_cidr
enable_dns_support = var.enable_dns_support
enable_dns_hostnames = var.enable_dns_support
enable_classiclink = var.enable_classiclink
enable_classiclink_dns_support = var.enable_classiclink
}
Create public subnets
resource "aws_subnet" "public" {
count = var.preferred_number_of_public_subnets == null ? length(data.aws_availability_zones.available.names) : var.preferred_number_of_public_subnets
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet(var.vpc_cidr, 4 , count.index)
map_public_ip_on_launch = true
availability_zone = data.aws_availability_zones.available.names[count.index]
}
Get list of availability zones
data "aws_availability_zones" "available" {
state = "available"
}
variable "region" {
default = "eu-west-2"
}
variable "vpc_cidr" {
default = "172.16.0.0/16"
}
variable "enable_dns_support" {
default = "true"
}
variable "enable_dns_hostnames" {
default ="true"
}
variable "enable_classiclink" {
default = "false"
}
variable "enable_classiclink_dns_support" {
default = "false"
}
Declare a variable to store the desired number of public subnets, and set the default value
variable "preferred_number_of_public_subnets" {
default = 2
}
terraform.tfvars Set the variables here. If not set, the defults are used.
region = "eu-west-2"
vpc_cidr = "172.16.0.0/16"
enable_dns_support = "true"
enable_dns_hostnames = "true"
enable_classiclink = "false"
enable_classiclink_dns_support = "false"
preferred_number_of_public_subnets = 2
terraform plan
terraform apply
Infrastructure successfully created
VPC created successfully
Next was to create the 4 private subnets in our VPC Create private subnets
resource "aws_subnet" "private" {
count = var.preferred_number_of_private_subnets == null ? length(data.aws_availability_zones.available.names) : var.preferred_number_of_private_subnets
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet(var.vpc_cidr, 8, count.index)
map_public_ip_on_launch = true
availability_zone = data.aws_availability_zones.available.names[count.index]
}
I got an error running terraform plan pointing to the AZ index count for the private subnets.
-- This error got fixed by wrapping the AZ list in an element function
resource "aws_subnet" "private" {
count = var.preferred_number_of_private_subnets == null ? length(data.aws_availability_zones.available.names) : var.preferred_number_of_private_subnets
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet(var.vpc_cidr, 8, count.index)
map_public_ip_on_launch = true
availability_zone = element(data.aws_availability_zones.available.names[*], count.index)
}
Before continuing, let's implement tagging for all our resources
Here, I will create the tag variable in variables.tf
variable "tags" {
description = "A mapping of tags to assign to all resources."
type = map(string)
default = {}
}
create the site wide default tags to be appended to the distinct tags later
tags = {
Enviroment = "production"
Owner-Email = "[email protected]"
Managed-By = "Terraform"
Billing-Account = "1234567890"
}
To tag our resources we can merge the default tags with the resource name
tags = merge(
var.tags,
{
Name = "Name of the resource"
},
)
We shall use the format function to append the default tags to our resource name
Name = format("%s-PrivateSubnet-%s",var.name,count.index)
We also need to ensure that the ip addresses in private and public subnets do not overlap.This we do by adding 2 to count.index for the private subnet cidrsubnet()
cidr_block = cidrsubnet(var.vpc_cidr, 8, count.index + 2)
resource "aws_subnet" "private" {
count = var.preferred_number_of_private_subnets == null ? length(data.aws_availability_zones.available.names) : var.preferred_number_of_private_subnets
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet(var.vpc_cidr, 8, count.index + 2)
map_public_ip_on_launch = true
//availability_zone = data.aws_availability_zones.available.names[count.index]
availability_zone = element(data.aws_availability_zones.available.names[*], count.index)
}
The next resource to create will be the Internet Gateway
resource "aws_internet_gateway" "igw" {
vpc_id = aws_vpc.main.id
tags = merge(
var.tags,
{
Name = format("%s-IGW-%s",var.name,var.environment)
}
)
}
Then I created the elastic IP for the NAT Gateway
resource "aws_eip" "nat_eip" {
vpc = true
depends_on = [aws_internet_gateway.igw]
tags = merge(
var.tags,
{
Name = format("%s-NATEIP-%s",var.name,var.environment)
}
)
}
Next is the NAT Gateway
resource "aws_nat_gateway" "ngw" {
allocation_id = aws_eip.nat_eip.id
subnet_id = element(aws_subnet.public.*.id,0)
depends_on = [aws_internet_gateway.igw]
tags = merge(
var.tags,
{
Name = format("%s-NATGW-%s",var.name,var.environment)
}
)
To ensure proper ordering, it is recommended to add an explicit dependency
on the Internet Gateway for the VPC.
}
Next, I created the route tables, route and subnet associations
create private route table
resource "aws_route_table" "private-rtb" {
vpc_id = aws_vpc.main.id
tags = merge(
var.tags,
{
Name = format("%s-Private-Route-Table", var.name)
},
)
}
create route for the private route table and attach the nat gateway
resource "aws_route" "private_rtb_route" {
route_table_id = aws_route_table.private-rtb.id
destination_cidr_block = "0.0.0.0/0"
gateway_id = aws_nat_gateway.ngw.id
}
associate all private subnets to the private route table
resource "aws_route_table_association" "private_subnet_assoc" {
count = length(aws_subnet.private[*].id)
subnet_id = element(aws_subnet.private[*].id, count.index)
route_table_id = aws_route_table.private-rtb.id
}
create route table for the public subnets
resource "aws_route_table" "public-rtb" {
vpc_id = aws_vpc.main.id
tags = merge(
var.tags,
{
Name = format("%s-Public-Route-Table", var.name)
},
)
}
create route for the public route table and attach the internet gateway
resource "aws_route" "public-rtb-route" {
route_table_id = aws_route_table.public-rtb.id
destination_cidr_block = "0.0.0.0/0"
gateway_id = aws_internet_gateway.igw.id
}
associate all public subnets to the public route table
resource "aws_route_table_association" "public-subnets-assoc" {
count = length(aws_subnet.public[*].id)
subnet_id = element(aws_subnet.public[*].id, count.index)
route_table_id = aws_route_table.public-rtb.id
}
I ran terraform plan and terraform apply which provisioned the following resources to AWS in a multi-az set up:
– Our main vpc
– 2 Public subnets
– 4 Private subnets
– 1 Internet Gateway
– 1 NAT Gateway
– 1 Elastic IP for the NAT Gateway
– 2 Route tables for private and public subnets
To clean up the code, we did some refactoring and moved some of the code into their own files
I created the following files: internet-gw.tf - The internet gateway nat-gw.tf - The nat gateway routes.tf - The private and public route tables, routes and subnet associations
terraform plan
terraform apply
Build was successful and 20 resources added
route tables
Subnets
Internet Gateway
Nat Gateway
Next, I will be creating the Application Load Balancer and the Auto scaling Groups, target groups and listeners I would need to create the certificate manager before the ALB I would need to create the Application Load balancer before the autoscalling groups
Lets create the certificate (TLS/SSL)
I created a new file certificate.tf
touch certificate.tf
I will need to create the certificate, a public zone and validate the certificate with the DNS method
Create the certificate using a wildcard for all the domains created in workachoo.com
resource "aws_acm_certificate" "workachoo" {
domain_name = "*.workachoo.com"
validation_method = "DNS"
tags = {
Environment = "dev"
}
lifecycle {
create_before_destroy = true
}
}
Calling the hosted zone
resource "aws_route53_zone" "workachoo" {
name = "workachoo.com"
private_zone = false
}
selecting validation method
resource "aws_route53_record" "workachoo" {
for_each = {
for dvo in aws_acm_certificate.workachoo.domain_validation_options : dvo.domain_name => {
name = dvo.resource_record_name
record = dvo.resource_record_value
type = dvo.resource_record_type
}
}
allow_overwrite = true
name = each.value.name
records = [each.value.record]
ttl = 60
type = each.value.type
zone_id = data.aws_route53_zone.workachoo.zone_id
}
validate the certificate through DNS method
resource "aws_acm_certificate_validation" "workachoo" {
certificate_arn = aws_acm_certificate.workachoo.arn
validation_record_fqdns = [for record in aws_route53_record.workachoo : record.fqdn]
}
our A record names will be tooling.workachoo.com and wordpress.workachoo.com
create records for tooling
resource "aws_route53_record" "tooling" {
zone_id = data.aws_route53_zone.workachoo.zone_id
name = "tooling.workachoo.com"
type = "A"
alias {
name = aws_lb.ext-alb.dns_name
zone_id = aws_lb.ext-alb.zone_id
evaluate_target_health = true
}
}
create records for wordpress
resource "aws_route53_record" "wordpress" {
zone_id = data.aws_route53_zone.workachoo.zone_id
name = "wordpress.workachoo.com"
type = "A"
alias {
name = aws_lb.ext-alb.dns_name
zone_id = aws_lb.ext-alb.zone_id
evaluate_target_health = true
}
}
#########################
Let's create the security groups in a file named sg.tf
##########################
Security group for external alb, to allow access from anywhere for HTTP and HTTPS traffic
resource "aws_security_group" "ext-alb-sg" {
name = "ext-alb-sg"
vpc_id = aws_vpc.main.id
description = "Allow TLS inbound traffic"
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(
var.tags,
{
Name = "ext-alb-sg"
},
)
}
resource "aws_security_group_rule" "inbound-alb-http" {
type = "ingress"
from_port = 80
to_port = 80
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
security_group_id = aws_security_group.ext-alb-sg.id
}
resource "aws_security_group_rule" "inbound-alb-https" {
type = "ingress"
from_port = 443
to_port = 443
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
security_group_id = aws_security_group.ext-alb-sg.id
}
Security group for bastion, to allow access into the bastion host from my device IP
resource "aws_security_group" "bastion_sg" {
name = "bastion_sg"
vpc_id = aws_vpc.main.id
description = "Allow incoming SSH connections."
ingress {
description = "SSH"
from_port = 22
to_port = 22
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(
var.tags,
{
Name = "Bastion-SG"
},
)
}
Security group for nginx reverse proxy, to allow access only from the external load balancer and bastion instance
resource "aws_security_group" "nginx-sg" {
name = "nginx-sg"
vpc_id = aws_vpc.main.id
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(
var.tags,
{
Name = "nginx-SG"
},
)
}
resource "aws_security_group_rule" "inbound-nginx-http" {
type = "ingress"
from_port = 443
to_port = 443
protocol = "tcp"
source_security_group_id = aws_security_group.ext-alb-sg.id
security_group_id = aws_security_group.nginx-sg.id
}
resource "aws_security_group_rule" "inbound-bastion-ssh" {
type = "ingress"
from_port = 22
to_port = 22
protocol = "tcp"
source_security_group_id = aws_security_group.bastion_sg.id
security_group_id = aws_security_group.nginx-sg.id
}
Security group for ialb, to have access only from nginx reverser proxy server
resource "aws_security_group" "int-alb-sg" {
name = "my-alb-sg"
vpc_id = aws_vpc.main.id
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(
var.tags,
{
Name = "int-alb-sg"
},
)
}
resource "aws_security_group_rule" "inbound-ialb-https" {
type = "ingress"
from_port = 443
to_port = 443
protocol = "tcp"
source_security_group_id = aws_security_group.nginx-sg.id
security_group_id = aws_security_group.int-alb-sg.id
}
Security group for webservers, to have access only from the internal load balancer and bastion instance
resource "aws_security_group" "webserver-sg" {
name = "webserver-sg"
vpc_id = aws_vpc.main.id
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(
var.tags,
{
Name = "webserver-sg"
},
)
}
resource "aws_security_group_rule" "inbound-web-https" {
type = "ingress"
from_port = 443
to_port = 443
protocol = "tcp"
source_security_group_id = aws_security_group.int-alb-sg.id
security_group_id = aws_security_group.webserver-sg.id
}
resource "aws_security_group_rule" "inbound-web-ssh" {
type = "ingress"
from_port = 22
to_port = 22
protocol = "tcp"
source_security_group_id = aws_security_group.bastion_sg.id
security_group_id = aws_security_group.webserver-sg.id
}
Security group for datalayer to alow traffic from websever on nfs and mysql port and bastion host on mysql port
resource "aws_security_group" "datalayer-sg" {
name = "datalayer-sg"
vpc_id = aws_vpc.main.id
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(
var.tags,
{
Name = "datalayer-sg"
},
)
}
resource "aws_security_group_rule" "inbound-nfs-port" {
type = "ingress"
from_port = 2049
to_port = 2049
protocol = "tcp"
source_security_group_id = aws_security_group.webserver-sg.id
security_group_id = aws_security_group.datalayer-sg.id
}
resource "aws_security_group_rule" "inbound-mysql-bastion" {
type = "ingress"
from_port = 3306
to_port = 3306
protocol = "tcp"
source_security_group_id = aws_security_group.bastion_sg.id
security_group_id = aws_security_group.datalayer-sg.id
}
resource "aws_security_group_rule" "inbound-mysql-webserver" {
type = "ingress"
from_port = 3306
to_port = 3306
protocol = "tcp"
source_security_group_id = aws_security_group.webserver-sg.id
security_group_id = aws_security_group.datalayer-sg.id
}
The next stage is to create the internet facing external application load balancer in a file called alb.tf
touch alb.tf
We need to create an ALB to balance the traffic between the Instances:
resource "aws_lb" "ext-alb" {
name = "ext-alb"
internal = false
security_groups = [
aws_security_group.ext-alb-sg.id,
]
subnets = [
aws_subnet.public[0].id,
aws_subnet.public[1].id
]
tags = merge(
var.tags,
{
Name = "ACS-ext-alb"
},
)
ip_address_type = "ipv4"
load_balancer_type = "application"
}
We need to inform the ALB of where where route the traffic. We need to create a Target Group for our load balancer Create the target group The targets are our nginx reverse proxy servers
resource "aws_lb_target_group" "nginx-tgt" {
health_check {
interval = 10
path = "/healthstatus"
protocol = "HTTPS"
timeout = 5
healthy_threshold = 5
unhealthy_threshold = 2
}
name = "nginx-tgt"
port = 443
protocol = "HTTPS"
target_type = "instance"
vpc_id = aws_vpc.main.id
}
Next, we will create a Listener for the target group aws_lb_target_group.nginx-tgt
resource "aws_lb_listener" "nginx-listner" {
load_balancer_arn = aws_lb.ext-alb.arn
port = 443
protocol = "HTTPS"
certificate_arn = aws_acm_certificate_validation.workachoo.certificate_arn
default_action {
type = "forward"
target_group_arn = aws_lb_target_group.nginx-tgt.arn
}
}
Next step is to create an Internal (Internal) Application Load Balancer (ALB)
resource "aws_lb" "ialb" {
name = "ialb"
internal = true
security_groups = [
aws_security_group.int-alb-sg.id,
]
subnets = [
aws_subnet.private[0].id,
aws_subnet.private[1].id
]
tags = merge(
var.tags,
{
Name = "ACS-int-alb"
},
)
ip_address_type = "ipv4"
load_balancer_type = "application"
}
To inform our ALB to where route the traffic we need to create a Target Group to point to its targets:
--- Target group for wordpress -------
resource "aws_lb_target_group" "wordpress-tgt" {
health_check {
interval = 10
path = "/healthstatus"
protocol = "HTTPS"
timeout = 5
healthy_threshold = 5
unhealthy_threshold = 2
}
name = "wordpress-tgt"
port = 443
protocol = "HTTPS"
target_type = "instance"
vpc_id = aws_vpc.main.id
}
--- Target group for tooling -------
resource "aws_lb_target_group" "tooling-tgt" {
health_check {
interval = 10
path = "/healthstatus"
protocol = "HTTPS"
timeout = 5
healthy_threshold = 5
unhealthy_threshold = 2
}
name = "tooling-tgt"
port = 443
protocol = "HTTPS"
target_type = "instance"
vpc_id = aws_vpc.main.id
}
Then we will need to create a Listener for this target Group
For this aspect a single listener was created for the wordpress which is default, A rule was created to route traffic to tooling when the host header changes
resource "aws_lb_listener" "web-listener" {
load_balancer_arn = aws_lb.ialb.arn
port = 443
protocol = "HTTPS"
certificate_arn = aws_acm_certificate_validation.workachoo.certificate_arn
default_action {
type = "forward"
target_group_arn = aws_lb_target_group.wordpress-tgt.arn
}
}
listener rule for tooling target
resource "aws_lb_listener_rule" "tooling-listener" {
listener_arn = aws_lb_listener.web-listener.arn
priority = 99
action {
type = "forward"
target_group_arn = aws_lb_target_group.tooling-tgt.arn
}
condition {
host_header {
values = ["tooling.workachoo.com"]
}
}
}
Next we need an IAM Role for our EC2 instances to give them access to some specific resources Let's create an AssumeRole with an AssumeRole policy. It grants EC2, permissions to assume the role.
We will create the file roles.tf for this
touch roles.tf
resource "aws_iam_role" "ec2_instance_role" {
name = "ec2_instance_role"
assume_role_policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Action = "sts:AssumeRole"
Effect = "Allow"
Sid = ""
Principal = {
Service = "ec2.amazonaws.com"
}
},
]
})
tags = merge(
var.tags,
{
Name = "aws assume role"
},
)
}
Create IAM policy for this role This is where we need to define a required policy (i.e., permissions) according to our requirements. For example, allowing an IAM role to perform action describe applied to EC2 instances:
resource "aws_iam_policy" "policy" {
name = "ec2_instance_policy"
description = "A test policy"
policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Action = [
"ec2:Describe*",
]
Effect = "Allow"
Resource = "*"
},
]
})
tags = merge(
var.tags,
{
Name = "aws assume policy"
},
)
}
Attach the Policy to the IAM Role This is where, we will be attaching the policy which we created above, to the role we created in the first step.
resource "aws_iam_role_policy_attachment" "test-attach" {
role = aws_iam_role.ec2_instance_role.name
policy_arn = aws_iam_policy.policy.arn
}
Create an Instance Profile and interpolate the IAM Role
resource "aws_iam_instance_profile" "ip" {
name = "aws_instance_profile_test"
role = aws_iam_role.ec2_instance_role.name
}
Next,I will create the Auto Scaling Groups (ASG) for nginx, bastion, wordpress and tooling
This will be in asg-bastion-nginx.tf and asg-webserver.tf
touch asg-bastion-nginx.tf asg-webserver.tf
In asg-bastion-nginx.tf
Creating sns topic for all the auto scaling groups
resource "aws_sns_topic" "dele-sns" {
name = "Default_CloudWatch_Alarms_Topic"
}
resource "aws_autoscaling_notification" "dele_notifications" {
group_names = [
aws_autoscaling_group.bastion-asg.name,
aws_autoscaling_group.nginx-asg.name,
aws_autoscaling_group.wordpress-asg.name,
aws_autoscaling_group.tooling-asg.name,
]
notifications = [
"autoscaling:EC2_INSTANCE_LAUNCH",
"autoscaling:EC2_INSTANCE_TERMINATE",
"autoscaling:EC2_INSTANCE_LAUNCH_ERROR",
"autoscaling:EC2_INSTANCE_TERMINATE_ERROR",
]
topic_arn = aws_sns_topic.dele-sns.arn
}
Launch template for bastion
resource "random_shuffle" "az_list" {
input = data.aws_availability_zones.available.names
}
resource "aws_launch_template" "bastion-launch-template" {
image_id = var.ami
instance_type = "t2.micro"
vpc_security_group_ids = [aws_security_group.bastion_sg.id]
iam_instance_profile {
name = aws_iam_instance_profile.ip.id
}
key_name = var.keypair
placement {
availability_zone = "random_shuffle.az_list.result"
}
lifecycle {
create_before_destroy = true
}
tag_specifications {
resource_type = "instance"
tags = merge(
var.tags,
{
Name = "bastion-launch-template"
},
)
}
user_data = filebase64("${path.module}/bastion.sh")
}
---- Autoscaling for bastion hosts
resource "aws_autoscaling_group" "bastion-asg" {
name = "bastion-asg"
max_size = 2
min_size = 2
health_check_grace_period = 300
health_check_type = "ELB"
desired_capacity = 2
vpc_zone_identifier = [
aws_subnet.public[0].id,
aws_subnet.public[1].id
]
launch_template {
id = aws_launch_template.bastion-launch-template.id
version = "$Latest"
}
tag {
key = "Name"
value = "bastion-launch-template"
propagate_at_launch = true
}
}
Launch template for nginx
resource "aws_launch_template" "nginx-launch-template" { image_id = var.ami instance_type = "t2.micro" vpc_security_group_ids = [aws_security_group.nginx-sg.id]
iam_instance_profile { name = aws_iam_instance_profile.ip.id }
key_name = var.keypair
placement { availability_zone = "random_shuffle.az_list.result" }
lifecycle { create_before_destroy = true }
tag_specifications { resource_type = "instance"
tags = merge(
var.tags,
{
Name = "nginx-launch-template"
},
) }
user_data = filebase64("${path.module}/nginx.sh") }
------ Autoscslaling group for reverse proxy nginx ---------
resource "aws_autoscaling_group" "nginx-asg" { name = "nginx-asg" max_size = 2 min_size = 2 health_check_grace_period = 300 health_check_type = "ELB" desired_capacity = 2
vpc_zone_identifier = [ aws_subnet.public[0].id, aws_subnet.public[1].id ]
launch_template { id = aws_launch_template.nginx-launch-template.id version = "$Latest" }
tag { key = "Name" value = "nginx-launch-template" propagate_at_launch = true }
}
attaching autoscaling group of nginx to external load balancer resource "aws_autoscaling_attachment" "asg_attachment_nginx" { autoscaling_group_name = aws_autoscaling_group.nginx-asg.id lb_target_group_arn = aws_lb_target_group.nginx-tgt.arn
alb_target_group_arn changed to lb_target_group_arn as deprecated.
Next is to set up autoscaling for the websevers
Inside asg-webserver.tf
Launch template for wordpress
resource "aws_launch_template" "wordpress-launch-template" {
image_id = var.ami
instance_type = "t2.micro"
vpc_security_group_ids = [aws_security_group.webserver-sg.id]
iam_instance_profile {
name = aws_iam_instance_profile.ip.id
}
key_name = var.keypair
placement {
availability_zone = "random_shuffle.az_list.result"
}
lifecycle {
create_before_destroy = true
}
tag_specifications {
resource_type = "instance"
tags = merge(
var.tags,
{
Name = "wordpress-launch-template"
},
)
}
user_data = filebase64("${path.module}/wordpress.sh")
}
---- Autoscaling for wordpress application
resource "aws_autoscaling_group" "wordpress-asg" {
name = "wordpress-asg"
max_size = 2
min_size = 2
health_check_grace_period = 300
health_check_type = "ELB"
desired_capacity = 2
vpc_zone_identifier = [
aws_subnet.private[0].id,
aws_subnet.private[1].id
]
launch_template {
id = aws_launch_template.wordpress-launch-template.id
version = "$Latest"
}
tag {
key = "Name"
value = "wordpress-asg"
propagate_at_launch = true
}
}
Attaching autoscaling group of wordpress application to internal loadbalancer
resource "aws_autoscaling_attachment" "asg_attachment_wordpress" {
autoscaling_group_name = aws_autoscaling_group.wordpress-asg.id
lb_target_group_arn = aws_lb_target_group.wordpress-tgt.arn
}
Launch template for toooling
resource "aws_launch_template" "tooling-launch-template" {
image_id = var.ami
instance_type = "t2.micro"
vpc_security_group_ids = [aws_security_group.webserver-sg.id]
iam_instance_profile {
name = aws_iam_instance_profile.ip.id
}
key_name = var.keypair
placement {
availability_zone = "random_shuffle.az_list.result"
}
lifecycle {
create_before_destroy = true
}
tag_specifications {
resource_type = "instance"
tags = merge(
var.tags,
{
Name = "tooling-launch-template"
},
)
}
user_data = filebase64("${path.module}/tooling.sh")
}
---- Autoscaling for tooling -----
resource "aws_autoscaling_group" "tooling-asg" {
name = "tooling-asg"
max_size = 2
min_size = 2
health_check_grace_period = 300
health_check_type = "ELB"
desired_capacity = 2
vpc_zone_identifier = [
aws_subnet.private[0].id,
aws_subnet.private[1].id
]
launch_template {
id = aws_launch_template.tooling-launch-template.id
version = "$Latest"
}
tag {
key = "Name"
value = "tooling-launch-template"
propagate_at_launch = true
}
}
attaching autoscaling group of tooling application to internal loadbalancer resource "aws_autoscaling_attachment" "asg_attachment_tooling" { autoscaling_group_name = aws_autoscaling_group.tooling-asg.id lb_target_group_arn = aws_lb_target_group.tooling-tgt.arn } alb_target_group_arn now known as lb_target_group_arn and is deprecated.
Now what is left is the datalayer which concists of the RDS Database, Elastic File system(EFS) and using KMS keys.
The first thing is to create a KMS key for the EFS
I will create a file efs.tf for the EFS code
touch efs.tf
Create key from key management system
resource "aws_kms_key" "ACS-kms" {
description = "KMS key "
policy = <<EOF
{
"Version": "2012-10-17",
"Id": "kms-key-policy",
"Statement": [
{
"Sid": "Enable IAM User Permissions",
"Effect": "Allow",
"Principal": { "AWS": "arn:aws:iam::${var.account_no}:user/terraform" },
"Action": "kms:*",
"Resource": "*"
}
]
}
EOF
}
Create key alias
resource "aws_kms_alias" "alias" {
name = "alias/kms"
target_key_id = aws_kms_key.ACS-kms.key_id
}
Let us create EFS and it mount targets- add the following code to efs.tf
Create Elastic file system
resource "aws_efs_file_system" "ACS-efs" {
encrypted = true
kms_key_id = aws_kms_key.ACS-kms.arn
tags = merge(
var.tags,
{
Name = "ACS-efs"
},
)
}
set first mount target for the EFS
resource "aws_efs_mount_target" "subnet-1" {
file_system_id = aws_efs_file_system.ACS-efs.id
subnet_id = aws_subnet.private[2].id
security_groups = [aws_security_group.datalayer-sg.id]
}
set second mount target for the EFS
resource "aws_efs_mount_target" "subnet-2" {
file_system_id = aws_efs_file_system.ACS-efs.id
subnet_id = aws_subnet.private[3].id
security_groups = [aws_security_group.datalayer-sg.id]
}
create access point for wordpress
resource "aws_efs_access_point" "wordpress" {
file_system_id = aws_efs_file_system.ACS-efs.id
posix_user {
gid = 0
uid = 0
}
root_directory {
path = "/wordpress"
creation_info {
owner_gid = 0
owner_uid = 0
permissions = 0755
}
}
}
create access point for tooling
resource "aws_efs_access_point" "tooling" {
file_system_id = aws_efs_file_system.ACS-efs.id
posix_user {
gid = 0
uid = 0
}
root_directory {
path = "/tooling"
creation_info {
owner_gid = 0
owner_uid = 0
permissions = 0755
}
}
}
This section will create the subnet group for the RDS instance using the private subnet
resource "aws_db_subnet_group" "ACS-rds" {
name = "acs-rds"
subnet_ids = [aws_subnet.private[2].id, aws_subnet.private[3].id]
tags = merge(
var.tags,
{
Name = "ACS-rds"
},
)
}
create the RDS instance with the subnets group
resource "aws_db_instance" "ACS-rds" {
allocated_storage = 20
storage_type = "gp2"
engine = "mysql"
engine_version = "5.7"
instance_class = "db.t2.micro"
db_name = "deledb"
username = var.db-username
password = var.db-password
parameter_group_name = "default.mysql5.7"
db_subnet_group_name = aws_db_subnet_group.ACS-rds.name
skip_final_snapshot = true
vpc_security_group_ids = [aws_security_group.datalayer-sg.id]
multi_az = "true"
}
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