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