Coder Social home page Coder Social logo

aws-terraform's Introduction

AWS CoreOS cluster provisioning with Terraform

Table of Contents##

Overview

This is a practical implementation of [CoreOS cluster architectures ] (https://coreos.com/os/docs/latest/cluster-architectures.html) built on AWS. The cluster follows CoreOS production cluster model that contains an autoscaling etcd cluster, and an autoscaling worker cluster for hosted containers. You can optionally add an admiral cluster for shared services such as CI, private docker registry, logging and monitoring, etc.

The entire infrastructure is managed by Terraform.

Other two Terrraform implmentation references are:

Setup AWS credentials

Go to AWS Console.

  1. Signup AWS account if you don't already have one. The default EC2 instances created by this tool is covered by AWS Free Tier (https://aws.amazon.com/free/) service.
  2. Create a group coreos-cluster with AdministratorAccess policy.
  3. Create a user coreos-cluster and Download the user credentials.
  4. Add user coreos-cluster to group coreos-cluster.

Install tools

If you use Vagrant, you can skip this section and go to Quick Start section.

Instructions for install tools on MacOS:

  1. Install Terraform

    $ brew update
    $ brew install terraform
    

    or

    $ mkdir -p ~/bin/terraform
    $ cd ~/bin/terraform
    $ curl -L -O https://releases.hashicorp.com/terraform/0.6.12/terraform_0.6.12_darwin_amd64.zip
    $ unzip terraform_0.6.12_darwin_amd64.zip
    
  2. Install Jq

    $ brew install jq
    
  3. Install AWS CLI

    $ brew install awscli
    

    or

    $ sudo easy_install pip
    $ sudo pip install --upgrade awscli
    

For other platforms, follow the tool links and instructions on tool sites.

Quick start

Clone the repo:

$ git clone https://github.com/xuwang/aws-terraform.git
$ cd aws-terraform

Run Vagrant ubuntu box with terraform installed (Optional)

If you use Vagrant, instead of install tools on your host machine, there is Vagranetfile for a Ubuntu box with all the necessary tools installed:

$ vagrant up
$ vagrant ssh
$ cd aws-terraform

Configure AWS profile with coreos-cluster credentials

$ aws configure --profile coreos-cluster

Use the downloaded aws user credentials when prompted.

The above command will create a coreos-cluster profile authentication section in ~/.aws/config and ~/.aws/credentials files. The build process bellow will automatically configure Terraform AWS provider credentials using this profile.

To build:

This default build will create one etcd node and one worker node cluster in a VPC, with application buckets for data, necessary iam roles, polices, keypairs and keys. The instance type for the nodes is t2.micro. You can review the configuration and make changes if needed. See Customization for details.

$ make
... build steps info ...
... at last, shows the worker's ip:
worker public ips: 52.27.156.202
...

To see the list of resources created:

$ make show
...
  module.etcd.aws_autoscaling_group.etcd:
  id = etcd
  availability_zones.# = 3
  availability_zones.2050015877 = us-west-2c
  availability_zones.221770259 = us-west-2b
  availability_zones.2487133097 = us-west-2a
  default_cooldown = 300
  desired_capacity = 1
  force_delete = true
  health_check_grace_period = 0
  health_check_type = EC2
  launch_configuration = terraform-4wjntqyn7rbfld5qa4qj6s3tie
  load_balancers.# = 0
  max_size = 9
  min_size = 1
  name = etcd
  tag.# = 1
....

Login to the worker node:

$ ssh -A [email protected]

CoreOS beta (723.3.0)
[email protected] ~ $ fleetctl list-machines
MACHINE     IP      METADATA
289a6ba7... 10.0.1.141  env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=etcd2
320bd4ac... 10.0.5.50   env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=worker

Destroy all resources

$ make destroy_all

This will destroy ALL resources created by this project.

Customization

  • The default values for VPC, ec2 instance profile, policies, keys, autoscaling group, lanuch configurations etc., can be override in resources/terraform/module-.tf` files.

  • AWS profile and cluster name are defined at the top of Makefile:

    AWS_PROFILE := coreos-cluster
    CLUSTER_NAME := coreos-cluster
    

    These can also be customized to match your AWS profile and cluster name.

Build multi-node cluster

The number of etcd nodes and worker nodes are defined in resource/terraform/module-etcd.tf and resource/terraform/module-worker.tf

Change the cluster_desired_capacity in the file to build multi-nodes etcd/worker cluster, for example, change to 3:

    cluster_desired_capacity = 3

Note: etcd minimum, maximum and cluster_desired_capacity should be the same and in odd number, e.g. 3, 5, 9

You should also change the aws_instance_type from micro to medium or large if heavy docker containers to be hosted on the nodes:

    image_type = "t2.medium"
    root_volume_size =  12
    docker_volume_size =  120

To build:

$ make all
... build steps info ...
... at last, shows the worker's ip:
worker public ips:  52.26.32.57 52.10.147.7 52.27.156.202
...

Login to a worker node:

$ ssh -A [email protected]
CoreOS beta (723.3.0)

[email protected] ~ $ etcdctl cluster-health
cluster is healthy
member 34d5239c565aa4f6 is healthy
member 5d6f4a5f10a44465 is healthy
member ab930e93b1d5946c is healthy

core@ip-10-0-1-92 ~ $ etcdctl member list
34d5239c565aa4f6: name=i-65e333ac peerURLs=http://10.0.1.92:2380 clientURLs=http://10.0.1.92:2379
5d6f4a5f10a44465: name=i-cd40d405 peerURLs=http://10.0.1.185:2380 clientURLs=http://10.0.1.185:2379
ab930e93b1d5946c: name=i-ecfa0d1a peerURLs=http://10.0.1.45:2380 clientURLs=http://10.0.1.45:2379

[email protected] ~ $ fleetctl list-machines
MACHINE     IP      METADATA
0d16eb52... 10.0.1.92   env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=etcd2
d320718e... 10.0.1.185  env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=etcd2
f0bea88e... 10.0.1.45   env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=etcd2
0cb636ac... 10.0.5.4    env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=worker
4acc8d6e... 10.0.5.112  env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=worker
fa9f4ea7... 10.0.5.140  env=coreos-cluster,platform=ec2,provider=aws,region=us-west-2,role=worker

Manage individual platform resources

You can create individual resources and the automated-scripts will create resources automatically based on dependencies.

$ make help

Usage: make (<resource> | destroy_<resource> | plan_<resource> | refresh_<resource> | show | graph )
Available resources: vpc s3 route53 iam etcd worker
For example: make worker # to show what resources are planned for worker

Currently defined resources:

Resource Description
vpc VPC, gateway, and subnets
s3 S3 buckets
iam Setup a deployment user and deployment keys
route53 Setup public and private hosted zones on Route53 DNS service
elb Setup application ELBs
efs EFS cluster
etcd Setup ETCD2 cluster
worker Setup application docker hosting cluster
admiral Central service cluster (Jenkins, fleet-ui, monitoring, logging, etc)
dockerhub Private docker registry cluster
rds RDS servers
cloudtrail Setup AWS CloudTrail

To build the cluster step by step:

$ make init
$ make vpc
$ make etcd
$ make worker

Make commands can be re-run. If a resource already exists, it just refreshes the terraform status.

This will create a build/ directory, copy all terraform files to the build dir, and execute correspondent terraform cmd to build the resource on AWS.

To destroy a resource:

$ make destroy_<resource> 

Technical notes

  • Etcd cluster is on an autoscaling group. It should be set with a fixed, odd number (1,3,5..), and cluster_desired_capacity=min_size=max_size.
  • Cluster discovery is managed with dockerage/etcd-aws-cluster image. etcd cluster is formed by self-discover through its auto-scaling group and then an etcd initial cluster is updated automatically to s3://AWS-ACCOUNT-CLUSTER-NAME-cloudinit/etcd/initial-cluster s3 bucket. Worker nodes join the cluster by downloading the etcd initial-cluster file from the s3 bucket during their bootstrap.
  • AWS resources are defined in resources and modules directories. The build process will copy all resource files from resources to a build directory. The terraform actions are performed under build, which is ignored in .gitignore. The original Terraform files in the repo are kept intact.
  • Makefiles and shell scripts are used to give us more flexibility on tasks Terraform leftover. This provides stream-lined build automation.
  • All nodes use a common bootstrap shell script as user-data, which downloads initial-cluster file and nodes specific cloud-config.yaml to configure the node. If cloud-config changes, no need to rebuild an instance. Just reboot it to pick up the change.
  • CoreOS AMI is generated on the fly to keep it up-to-data. Default channel can be changed in Makefile.
  • Terraform auto-generated launch configuration name and CBD feature are used to allow launch configuration update on a live autoscaling group, however, running ec2 instances in the autoscaling group has to be recycled outside of the Terraform management to pick up the new LC.
  • For a production system, the security groups defined in etcd, worker, and admiral module should be carefully reviewed and tightened.

aws-terraform's People

Contributors

xuwang avatar su-sfeng avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.