hashicorp-copywrite[bot] 0b12cdcfd1
[COMPLIANCE] License changes (#22290)
* Adding explicit MPL license for sub-package.

This directory and its subdirectories (packages) contain files licensed with the MPLv2 `LICENSE` file in this directory and are intentionally licensed separately from the BSL `LICENSE` file at the root of this repository.

* Adding explicit MPL license for sub-package.

This directory and its subdirectories (packages) contain files licensed with the MPLv2 `LICENSE` file in this directory and are intentionally licensed separately from the BSL `LICENSE` file at the root of this repository.

* Updating the license from MPL to Business Source License.

Going forward, this project will be licensed under the Business Source License v1.1. Please see our blog post for more details at https://hashi.co/bsl-blog, FAQ at www.hashicorp.com/licensing-faq, and details of the license at www.hashicorp.com/bsl.

* add missing license headers

* Update copyright file headers to BUS-1.1

* Fix test that expected exact offset on hcl file

---------

Co-authored-by: hashicorp-copywrite[bot] <110428419+hashicorp-copywrite[bot]@users.noreply.github.com>
Co-authored-by: Sarah Thompson <sthompson@hashicorp.com>
Co-authored-by: Brian Kassouf <bkassouf@hashicorp.com>
2023-08-10 18:14:03 -07:00

339 lines
9.4 KiB
HCL

# Copyright (c) HashiCorp, Inc.
# SPDX-License-Identifier: BUSL-1.1
terraform {
required_providers {
# We need to specify the provider source in each module until we publish it
# to the public registry
enos = {
source = "app.terraform.io/hashicorp-qti/enos"
version = ">= 0.3.24"
}
}
}
data "aws_vpc" "vpc" {
id = var.vpc_id
}
data "aws_subnets" "vpc" {
filter {
name = "vpc-id"
values = [var.vpc_id]
}
}
data "aws_kms_key" "kms_key" {
key_id = var.awskms_unseal_key_arn
}
data "aws_iam_policy_document" "target" {
statement {
resources = ["*"]
actions = [
"ec2:DescribeInstances",
"secretsmanager:*"
]
}
statement {
resources = [var.awskms_unseal_key_arn]
actions = [
"kms:DescribeKey",
"kms:ListKeys",
"kms:Encrypt",
"kms:Decrypt",
"kms:GenerateDataKey"
]
}
}
data "aws_iam_policy_document" "target_role" {
statement {
actions = ["sts:AssumeRole"]
principals {
type = "Service"
identifiers = ["ec2.amazonaws.com"]
}
}
}
data "enos_environment" "localhost" {}
resource "random_string" "random_cluster_name" {
length = 8
lower = true
upper = false
numeric = false
special = false
}
resource "random_string" "unique_id" {
length = 4
lower = true
upper = false
numeric = false
special = false
}
// ec2:CreateFleet only allows up to 4 InstanceRequirements overrides so we can only ever request
// a fleet across 4 or fewer subnets if we want to bid with InstanceRequirements instead of
// weighted instance types.
resource "random_shuffle" "subnets" {
input = data.aws_subnets.vpc.ids
result_count = 4
}
locals {
spot_allocation_strategy = "lowestPrice"
on_demand_allocation_strategy = "lowestPrice"
instances = toset([for idx in range(var.instance_count) : tostring(idx)])
cluster_name = coalesce(var.cluster_name, random_string.random_cluster_name.result)
name_prefix = "${var.project_name}-${local.cluster_name}-${random_string.unique_id.result}"
fleet_tag = "${local.name_prefix}-spot-fleet-target"
fleet_tags = {
Name = "${local.name_prefix}-${var.cluster_tag_key}-target"
"${var.cluster_tag_key}" = local.cluster_name
Fleet = local.fleet_tag
}
}
resource "aws_iam_role" "target" {
name = "${local.name_prefix}-target-role"
assume_role_policy = data.aws_iam_policy_document.target_role.json
}
resource "aws_iam_instance_profile" "target" {
name = "${local.name_prefix}-target-profile"
role = aws_iam_role.target.name
}
resource "aws_iam_role_policy" "target" {
name = "${local.name_prefix}-target-policy"
role = aws_iam_role.target.id
policy = data.aws_iam_policy_document.target.json
}
resource "aws_security_group" "target" {
name = "${local.name_prefix}-target"
description = "Target instance security group"
vpc_id = var.vpc_id
# SSH traffic
ingress {
from_port = 22
to_port = 22
protocol = "tcp"
cidr_blocks = flatten([
formatlist("%s/32", data.enos_environment.localhost.public_ipv4_addresses),
join(",", data.aws_vpc.vpc.cidr_block_associations.*.cidr_block),
])
}
# Vault traffic
ingress {
from_port = 8200
to_port = 8201
protocol = "tcp"
cidr_blocks = flatten([
formatlist("%s/32", data.enos_environment.localhost.public_ipv4_addresses),
join(",", data.aws_vpc.vpc.cidr_block_associations.*.cidr_block),
formatlist("%s/32", var.ssh_allow_ips)
])
}
# Consul traffic
ingress {
from_port = 8300
to_port = 8302
protocol = "tcp"
cidr_blocks = flatten([
formatlist("%s/32", data.enos_environment.localhost.public_ipv4_addresses),
join(",", data.aws_vpc.vpc.cidr_block_associations.*.cidr_block),
])
}
ingress {
from_port = 8301
to_port = 8302
protocol = "udp"
cidr_blocks = flatten([
formatlist("%s/32", data.enos_environment.localhost.public_ipv4_addresses),
join(",", data.aws_vpc.vpc.cidr_block_associations.*.cidr_block),
])
}
ingress {
from_port = 8500
to_port = 8503
protocol = "tcp"
cidr_blocks = flatten([
formatlist("%s/32", data.enos_environment.localhost.public_ipv4_addresses),
join(",", data.aws_vpc.vpc.cidr_block_associations.*.cidr_block),
])
}
ingress {
from_port = 8600
to_port = 8600
protocol = "tcp"
cidr_blocks = flatten([
formatlist("%s/32", data.enos_environment.localhost.public_ipv4_addresses),
join(",", data.aws_vpc.vpc.cidr_block_associations.*.cidr_block),
])
}
ingress {
from_port = 8600
to_port = 8600
protocol = "udp"
cidr_blocks = flatten([
formatlist("%s/32", data.enos_environment.localhost.public_ipv4_addresses),
join(",", data.aws_vpc.vpc.cidr_block_associations.*.cidr_block),
])
}
# Internal traffic
ingress {
from_port = 0
to_port = 0
protocol = "-1"
self = true
}
# External traffic
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(
var.common_tags,
{
Name = "${local.name_prefix}-sg"
},
)
}
resource "aws_launch_template" "target" {
name = "${local.name_prefix}-target"
image_id = var.ami_id
key_name = var.ssh_keypair
iam_instance_profile {
name = aws_iam_instance_profile.target.name
}
instance_requirements {
burstable_performance = "included"
memory_mib {
min = var.instance_mem_min
max = var.instance_mem_max
}
vcpu_count {
min = var.instance_cpu_min
max = var.instance_cpu_max
}
}
network_interfaces {
associate_public_ip_address = true
delete_on_termination = true
security_groups = [aws_security_group.target.id]
}
tag_specifications {
resource_type = "instance"
tags = merge(
var.common_tags,
local.fleet_tags,
)
}
}
# There are three primary knobs we can turn to try and optimize our costs by
# using a spot fleet: our min and max instance requirements, our max bid
# price, and the allocation strategy to use when fulfilling the spot request.
# We've currently configured our instance requirements to allow for anywhere
# from 2-4 vCPUs and 4-16GB of RAM. We intentionally have a wide range
# to allow for a large instance size pool to be considered. Our next knob is our
# max bid price. As we're using spot fleets to save on instance cost, we never
# want to pay more for an instance than we were on-demand. We've set the max price
# to equal what we pay for t3.medium instances on-demand, which are the smallest
# reliable size for Vault scenarios. The final knob is the allocation strategy
# that AWS will use when looking for instances that meet our resource and cost
# requirements. We're using the "lowestPrice" strategy to get the absolute
# cheapest machines that will fit the requirements, but it comes with a slightly
# higher capacity risk than say, "capacityOptimized" or "priceCapacityOptimized".
# Unless we see capacity issues or instances being shut down then we ought to
# stick with that strategy.
resource "aws_ec2_fleet" "targets" {
replace_unhealthy_instances = false
terminate_instances = true // terminate instances when we "delete" the fleet
terminate_instances_with_expiration = false
tags = merge(
var.common_tags,
local.fleet_tags,
)
type = "instant" // make a synchronous request for the entire fleet
launch_template_config {
launch_template_specification {
launch_template_id = aws_launch_template.target.id
version = aws_launch_template.target.latest_version
}
dynamic "override" {
for_each = random_shuffle.subnets.result
content {
subnet_id = override.value
}
}
}
on_demand_options {
allocation_strategy = local.on_demand_allocation_strategy
max_total_price = (var.max_price * var.instance_count)
min_target_capacity = var.capacity_type == "on-demand" ? var.instance_count : null
// One of these has to be set to enforce our on-demand target capacity minimum
single_availability_zone = false
single_instance_type = true
}
spot_options {
allocation_strategy = local.spot_allocation_strategy
// The instance_pools_to_use_count is only valid for the allocation_strategy
// lowestPrice. When we are using that strategy we'll want to always set it
// to non-zero to avoid rebuilding the fleet on a re-run. For any other strategy
// set it to zero to avoid rebuilding the fleet on a re-run.
instance_pools_to_use_count = local.spot_allocation_strategy == "lowestPrice" ? 1 : null
}
// Try and provision only spot instances and fall back to on-demand.
target_capacity_specification {
default_target_capacity_type = var.capacity_type
spot_target_capacity = var.capacity_type == "spot" ? var.instance_count : 0
on_demand_target_capacity = var.capacity_type == "on-demand" ? var.instance_count : 0
target_capacity_unit_type = "units" // units == instance count
total_target_capacity = var.instance_count
}
}
data "aws_instance" "targets" {
depends_on = [
aws_ec2_fleet.targets,
]
for_each = local.instances
instance_id = aws_ec2_fleet.targets.fleet_instance_set[0].instance_ids[each.key]
}