Литмир - Электронная Библиотека
A
A

zone = "us-central1-a"

}

$ cd gce

$ terraform init

$ terraform apply

$ cd ..

For distributed work, let's put the state in AWS S3 the state of the infrastructure (you can also put other data), but for security in a different region:

terraform {

backend "s3" {

bucket = "tfstate"

key = "terraform.tfstate"

region = "us-state-2"

}

}

provider "kubernetes" {

host = "https://104.196.242.174"

username = "ClusterMaster"

password = "MindTheGap"

}

resource "kubernetes_pod" "my_pod" {

spec {

container {

image = "Nginx: 1.7.9"

name = "Nginx"

port {

container_port = 80

}

}

}

}

Commands:

terraform init # downloading dependencies according to configs, checking them

terraform validate # syntax check

terraform plan # to see in detail how the infrastructure will be changed and why exactly so, for example,

whether only the service meta information will be changed or the service itself will be re-created, which is often unacceptable for databases.

terraform apply # applying changes

The common part for all providers is the core.

$ which aws

$ aws fonfigure # https://www.youtube.com/watch?v=IxA1IPypzHs

$ cat aws.tf

# https://www.terraform.io/docs/providers/aws/r/instance.html

resource "aws_instance" "ec2instance" {

ami = "$ {var.ami}"

instance_type = "t2.micro"

}

resource "aws_security_group" "instance_gc" {

}

$ cat run.js

export AWS_ACCESS_KEY_ID = "anaccesskey"

export AWS_SECRET_ACCESS_KEY = "asecretkey"

export AWS_DEFAULT_REGION = "us-west-2"

terraform plan

terraform apply

$ cat gce.tf # https://www.terraform.io/docs/providers/google/index.html#

# Google Cloud Platform Provider

provider "google" {

credentials = "$ {file (" account.json ")}"

project = "phalcon"

region = "us-central1"

}

#https: //www.terraform.io/docs/providers/google/r/app_engine_application.html

resource "google_project" "my_project" {

name = "My Project"

project_id = "your-project-id"

org_id = "1234567"

}

resource "google_app_engine_application" "app" {

project = "$ {google_project.my_project.project_id}"

location_id = "us-central"

}

# google_compute_instance

resource "google_compute_instance" "default" {

name = "test"

machine_type = "n1-standard-1"

zone = "us-central1-a"

tags = ["foo", "bar"]

boot_disk {

initialize_params {

image = "debian-cloud / debian-9"

}

}

// Local SSD disk

scratch_disk {

}

network_interface {

network = "default"

access_config {

// Ephemeral IP

}

}

metadata = {

foo = "bar"

}

metadata_startup_script = "echo hi> /test.txt"

service_account {

scopes = ["userinfo-email", "compute-ro", "storage-ro"]

}

}

Extensibility using an external resource, which can be a BASH script:

data "external" "python3" {

program = ["Python3"]

}

Building a cluster of machines with Terraform

Clustering with Terraform is covered in Building Infrastructure in GCP. Now let's pay more attention to the cluster itself, and not to the tools for creating it. I will create a project through the GCE admin panel (displayed in the interface header) node-cluster. I downloaded the key for Kubernetes IAM and administration -> Service accounts -> Create a service account and when creating it, I selected the Owner role and put it in a project called kubernetes_key.JSON:

eSSH @ Kubernetes-master: ~ / node-cluster $ cp ~ / Downloads / node-cluster-243923-bbec410e0a83.JSON ./kubernetes_key.JSON

Downloaded terraform:

essh @ kubernetes-master: ~ / node-cluster $ wget https://releases.hashicorp.com/terraform/0.12.2/terraform_0.12.2_linux_amd64.zip> / dev / null 2> / dev / null

essh @ kubernetes-master: ~ / node-cluster $ unzip terraform_0.12.2_linux_amd64.zip && rm -f terraform_0.12.2_linux_amd64.zip

Archive: terraform_0.12.2_linux_amd64.zip

inflating: terraform

essh @ kubernetes-master: ~ / node-cluster $ ./terraform version

Terraform v0.12.2

Added the GCE provider and started downloading the "drivers" to it:

essh @ kubernetes-master: ~ / node-cluster $ cat main.tf

provider "google" {

credentials = "$ {file (" kubernetes_key.json ")}"

project = "node-cluster"

region = "us-central1"

} essh @ kubernetes-master: ~ / node-cluster $ ./terraform init

Initializing the backend …

Initializing provider plugins …

– Checking for available provider plugins …

– Downloading plugin for provider "google" (terraform-providers / google) 2.8.0 …

The following providers do not have any version constraints in configuration,

so the latest version was installed.

To prevent automatic upgrades to new major versions that may contain breaking

changes, it is recommended to add version = "…" constraints to the

corresponding provider blocks in configuration, with the constraint strings

suggested below.

* provider.google: version = "~> 2.8"

Terraform has been successfully initialized!

You may now begin working with Terraform. Try running "terraform plan" to see

any changes that are required for your infrastructure. All Terraform commands

should now work.

If you ever set or change modules or backend configuration for Terraform,

rerun this command to reinitialize your working directory. If you forget, other

commands will detect it and remind you to do so if necessary.

Add a virtual machine:

essh @ kubernetes-master: ~ / node-cluster $ cat main.tf

provider "google" {

credentials = "$ {file (" kubernetes_key.json ")}"

project = "node-cluster-243923"

region = "europe-north1"

}

resource "google_compute_instance" "cluster" {

name = "cluster"

zone = "europe-north1-a"

machine_type = "f1-micro"

boot_disk {

initialize_params {

image = "debian-cloud / debian-9"

}

}

network_interface {

network = "default"

access_config {}

}

essh @ kubernetes-master: ~ / node-cluster $ sudo ./terraform apply

An execution plan has been generated and is shown below.

Resource actions are indicated with the following symbols:

+ create

Terraform will perform the following actions:

# google_compute_instance.cluster will be created

+ resource "google_compute_instance" "cluster" {

+ can_ip_forward = false

+ cpu_platform = (known after apply)

+ deletion_protection = false

+ guest_accelerator = (known after apply)

+ id = (known after apply)

+ instance_id = (known after apply)

+ label_fingerprint = (known after apply)

+ machine_type = "f1-micro"

+ metadata_fingerprint = (known after apply)

29
{"b":"721598","o":1}