For organizations with 300 users or less, the recommended AWS installation method is to launch an EC2 single box [Omnibus Installation](https://about.gitlab.com/install/) and implement a snapshot strategy for backing up the data.
- An SSL/TLS certificate to secure your domain. If you do not already own one, you can provision a free public SSL/TLS certificate through [AWS Certificate Manager](https://aws.amazon.com/certificate-manager/)(ACM) for use with the [Elastic Load Balancer](#load-balancer) we'll create.
NOTE: **Note:** It can take a few hours to validate a certificate provisioned through ACM. To avoid delays later, request your certificate as soon as possible.
NOTE: **Note:** Please note that while we will be using EBS for storage, we do not recommend using EFS as it may negatively impact GitLab's performance. You can review the [relevant documentation](../../administration/high_availability/nfs.md#avoid-using-awss-elastic-file-system-efs) for more details.
As we'll be using [Amazon S3 object storage](#amazon-s3-object-storage), our EC2 instances need to have read, write, and list permissions for our S3 buckets. To avoid embedding AWS keys in our GitLab config, we'll make use of an [IAM Role](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles.html) to allow our GitLab instance with this access. We'll need to create an IAM policy to attach to our IAM role:
### Create an IAM Policy
1. Navigate to the IAM dashboard and click on **Policies** in the left menu.
1. Click **Create policy**, select the `JSON` tab, and add a policy. We want to [follow security best practices and grant _least privilege_](https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#grant-least-privilege), giving our role only the permissions needed to perform the required actions.
1. Assuming you prefix the S3 bucket names with `gl-` as shown in the diagram, add the following policy:
```json
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:AbortMultipartUpload",
"s3:CompleteMultipartUpload",
"s3:ListBucket",
"s3:PutObject",
"s3:GetObject",
"s3:DeleteObject",
"s3:PutObjectAcl"
],
"Resource": [
"arn:aws:s3:::gl-*/*"
]
}
]
}
```
1. Click **Review policy**, give your policy a name (we'll use `gl-s3-policy`), and click **Create policy**.
We'll start by creating a VPC for our GitLab cloud infrastructure, then
we can create subnets to have public and private instances in at least
two [Availability Zones (AZs)](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html). Public subnets will require a Route Table keep and an associated
Internet Gateway.
### Creating the Virtual Private Cloud (VPC)
We'll now create a VPC, a virtual networking environment that you'll control:
Instances deployed in our private subnets need to connect to the internet for updates, but should not be reachable from the public internet. To achieve this, we'll make use of [NAT Gateways](https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-gateway.html) deployed in each of our public subnets:
1. Navigate to the VPC dashboard and click on **NAT Gateways** in the left menu bar.
1. Click **Create NAT Gateway** and complete the following:
1.**Subnet**: Select `gitlab-public-10.0.0.0` from the dropdown.
1.**Elastic IP Allocation ID**: Enter an existing Elastic IP or click **Allocate Elastic IP address** to allocate a new IP to your NAT gateway.
1. Add tags if needed.
1. Click **Create NAT Gateway**.
Create a second NAT gateway but this time place it in the second public subnet, `gitlab-public-10.0.2.0`.
We also need to create two private route tables so that instances in each private subnet can reach the internet via the NAT gateway in the corresponding public subnet in the same availability zone.
1. Next, add a new route to each of the private route tables where the destination is `0.0.0.0/0` and the target is one of the NAT gateways we created earlier.
On the Route 53 dashboard, click **Hosted zones** in the left navigation bar:
1. Select an existing hosted zone or, if you do not already have one for your domain, click **Create Hosted Zone**, enter your domain name, and click **Create**.
1. Click **Create Record Set** and provide the following values:
1.**Name:** Use the domain name (the default value) or enter a subdomain.
1.**Type:** Select **A - IPv4 address**.
1.**Alias Target:** Find the **ELB Classic Load Balancers** section and select the classic load balancer we created earlier.
1.**Routing Policy:** We'll use **Simple** but you can choose a different policy based on your use case.
1.**Evaluate Target Health:** We'll set this to **No** but you can choose to have the load balancer route traffic based on target health.
1. Click **Create**.
1. Update your DNS records with your domain registrar. The steps for doing this vary depending on which registrar you use and is beyond the scope of this guide.
We need a security group for our database that will allow inbound traffic from the instances we'll deploy in our `gitlab-loadbalancer-sec-group` later on:
1. From the EC2 dashboard, select **Security Groups** from the left menu bar.
1. Click **Create security group**.
1. Give it a name (we'll use `gitlab-rds-sec-group`), a description, and select the `gitlab-vpc` from the **VPC** dropdown.
1. In the **Inbound rules** section, click **Add rule** and add a **PostgreSQL** rule, and set the "Custom" source as the `gitlab-loadbalancer-sec-group` we created earlier. The default PostgreSQL port is `5432`, which we'll also use when creating our database below.
1. Navigate to the RDS dashboard and select **Subnet Groups** from the left menu.
1. Click on **Create DB Subnet Group**.
1. Under **Subnet group details**, enter a name (we'll use `gitlab-rds-group`), a description, and choose the `gitlab-vpc` from the VPC dropdown.
1. Under **Add subnets**, click **Add all the subnets related to this VPC** and remove the public ones, we only want the **private subnets**. In the end, you should see `10.0.1.0/24` and `10.0.3.0/24` (as we defined them in the [subnets section](#subnets)).
DANGER: **Danger:** Avoid using burstable instances (t class instances) for the database as this could lead to performance issues due to CPU credits running out during sustained periods of high load.
1. Select **Standard Create** for the database creation method.
1. Select **PostgreSQL** as the database engine and select **PostgreSQL 10.9-R1** from the version dropdown menu (check the [database requirements](../../install/requirements.md#postgresql-requirements) to see if there are any updates on this for your chosen version of GitLab).
1. Since this is a production server, let's choose **Production** from the **Templates** section.
1. Under **Settings**, set a DB instance identifier, a master username, and a master password. We'll use `gitlab-db-ha`, `gitlab`, and a very secure password respectively. Make a note of these as we'll need them later.
1. For the DB instance size, select **Standard classes** and select an instance size that meets your requirements from the dropdown menu. We'll use a `db.m4.large` instance.
1. Select **Provisioned IOPS (SSD)** from the storage type dropdown menu. Provisioned IOPS (SSD) storage is best suited for this use (though you can choose General Purpose (SSD) to reduce the costs). Read more about it at [Storage for Amazon RDS](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html).
1. Under **Availability & durability**, select **Create a standby instance** to have a standby RDS instance provisioned in a different [Availability Zone](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html).
1. Click **Create security group** and fill in the details. Give it a name (we'll use `gitlab-redis-sec-group`),
add a description, and choose the VPC we created previously
1. In the **Inbound rules** section, click **Add rule** and add a **Custom TCP** rule, set port `6379`, and set the "Custom" source as the `gitlab-loadbalancer-sec-group` we created earlier.
Redis cluster. Do not enable **Cluster Mode** as it is [not supported](../../administration/high_availability/redis.md#provide-your-own-redis-instance-core-only). Even without cluster mode on, you still get the
chance to deploy Redis in multiple availability zones.
Since our GitLab instances will be in private subnets, we need a way to connect to these instances via SSH to make configuration changes, perform upgrades, etc. One way of doing this is via a [bastion host](https://en.wikipedia.org/wiki/Bastion_host), sometimes also referred to as a jump box.
TIP: **Tip:** If you do not want to maintain bastion hosts, you can set up [AWS Systems Manager Session Manager](https://docs.aws.amazon.com/systems-manager/latest/userguide/session-manager.html) for access to instances. This is beyond the scope of this document.
### Create Bastion Host A
1. Navigate to the EC2 Dashboard and click on **Launch instance**.
1. Select the **Ubuntu Server 18.04 LTS (HVM)** AMI.
1. Choose an instance type. We'll use a `t2.micro` as we'll only use the bastion host to SSH into our other instances.
1. Click **Configure Instance Details**.
1. Under **Network**, select the `gitlab-vpc` from the dropdown menu.
1. Under **Subnet**, select the public subnet we created earlier (`gitlab-public-10.0.0.0`).
1. Double check that under **Auto-assign Public IP** you have **Use subnet setting (Enable)** selected.
1. Leave everything else as default and click **Add Storage**.
1. For storage, we'll leave everything as default and only add an 8GB root volume. We won't store anything on this instance.
1. Click **Add Tags** and on the next screen click **Add Tag**.
1. We’ll only set `Key: Name` and `Value: Bastion Host A`.
1. Click **Configure Security Group**.
1. Select **Create a new security group**, enter a **Security group name** (we'll use `bastion-sec-group`), and add a description.
1. We'll enable SSH access from anywhere (`0.0.0.0/0`). If you want stricter security, specify a single IP address or an IP address range in CIDR notation.
1. Click **Review and Launch**
1. Review all your settings and, if you're happy, click **Launch**.
1. Acknowledge that you have access to an existing key pair or create a new one. Click **Launch Instance**.
Confirm that you can SSH into the instance:
1. On the EC2 Dashboard, click on **Instances** in the left menu.
1. Select **Bastion Host A** from your list of instances.
1. Click **Connect** and follow the connection instructions.
1. If you are able to connect successfully, let's move on to setting up our second bastion host for redundancy.
### Create Bastion Host B
1. Create an EC2 instance following the same steps as above with the following changes:
1. For the **Subnet**, select the second public subnet we created earlier (`gitlab-public-10.0.2.0`).
1. Under the **Add Tags** section, we’ll set `Key: Name` and `Value: Bastion Host B` so that we can easily identify our two instances.
1. For the security group, select the existing `bastion-sec-group` we created above.
### Use SSH Agent Forwarding
EC2 instances running Linux use private key files for SSH authentication. You'll connect to your bastion host using an SSH client and the private key file stored on your client. Since the private key file is not present on the bastion host, you will not be able to connect to your instances in private subnets.
Storing private key files on your bastion host is a bad idea. To get around this, use SSH agent forwarding on your client. See [Securely Connect to Linux Instances Running in a Private Amazon VPC](https://aws.amazon.com/blogs/security/securely-connect-to-linux-instances-running-in-a-private-amazon-vpc/) for a step-by-step guide on how to use SSH agent forwarding.
We will need a preconfigured, custom GitLab AMI to use in our launch configuration later. As a starting point, we will use the official GitLab AMI to create a GitLab instance. Then, we'll add our custom configuration for PostgreSQL, Redis, and Gitaly. If you prefer, instead of using the official GitLab AMI, you can also spin up an EC2 instance of your choosing and [manually install GitLab](https://about.gitlab.com/install/).
1. Click **Launch Instance** and select **Community AMIs** from the left menu.
1. In the search bar, search for `GitLab EE <version>` where `<version>` is the latest version as seen on the [releases page](https://about.gitlab.com/releases/). Select the latest patch release, for example `GitLab EE 12.9.2`.
1. Select an instance type based on your workload. Consult the [hardware requirements](../../install/requirements.md#hardware-requirements) to choose one that fits your needs (at least `c5.xlarge`, which is sufficient to accommodate 100 users).
1. Click **Configure Instance Details**:
1. In the **Network** dropdown, select `gitlab-vpc`, the VPC we created earlier.
Connect to your GitLab instance via **Bastion Host A** using [SSH Agent Forwarding](#use-ssh-agent-forwarding). Once connected, add the following custom configuration:
Since we're adding our SSL certificate at the load balancer, we do not need GitLab's built-in support for Let's Encrypt. Let's Encrypt [is enabled by default](https://docs.gitlab.com/omnibus/settings/ssl.html#lets-encrypt-integration) when using an `https` domain since GitLab 10.7, so we need to explicitly disable it:
1. Open `/etc/gitlab/gitlab.rb` and disable it:
```ruby
letsencrypt['enable'] = false
```
1. Save the file and reconfigure for the changes to take effect:
To find the host or endpoint, navigate to **Amazon RDS > Databases** and click on the database you created earlier. Look for the endpoint under the **Connectivity & security** tab.
CAUTION: **Caution:** In this architecture, having a single Gitaly server creates a single point of failure. This limitation will be removed once [Gitaly Cluster](https://gitlab.com/groups/gitlab-org/-/epics/1489) is released.
Gitaly is a service that provides high-level RPC access to Git repositories.
It should be enabled and configured on a separate EC2 instance in one of the
[private subnets](#subnets) we configured previously.
Let's create an EC2 instance where we'll install Gitaly:
1. From the EC2 dashboard, click **Launch instance**.
1. Choose an AMI. In this example, we'll select the **Ubuntu Server 18.04 LTS (HVM), SSD Volume Type**.
1. Choose an instance type. We'll pick a **c5.xlarge**.
1. Click **Configure Instance Details**.
1. In the **Network** dropdown, select `gitlab-vpc`, the VPC we created earlier.
1. In the **Subnet** dropdown, select `gitlab-private-10.0.1.0` from the list of subnets we created earlier.
1. Double check that **Auto-assign Public IP** is set to `Use subnet setting (Disable)`.
1. Click **Add Storage**.
1. Increase the Root volume size to `20 GiB` and change the **Volume Type** to `Provisoned IOPS SSD (io1)`. (This is an arbitrary size. Create a volume big enough for your repository storage requirements.)
1. For **IOPS** set `1000` (20 GiB x 50 IOPS). You can provision up to 50 IOPS per GiB. If you select a larger volume, increase the IOPS accordingly. Workloads where many small files are written in a serialized manner, like `git`, requires performant storage, hence the choice of `Provisoned IOPS SSD (io1)`.
1. Click on **Add Tags** and add your tags. In our case, we'll only set `Key: Name` and `Value: Gitaly`.
1. Click on **Configure Security Group** and let's **Create a new security group**.
1. Give your security group a name and description. We'll use `gitlab-gitaly-sec-group` for both.
1. Create a **Custom TCP** rule and add port `8075` to the **Port Range**. For the **Source**, select the `gitlab-loadbalancer-sec-group`.
1. Also add an inbound rule for SSH from the `bastion-sec-group` so that we can connect using [SSH Agent Forwarding](#use-ssh-agent-forwarding) from the Bastion hosts.
> **Optional:** Instead of storing configuration _and_ repository data on the root volume, you can also choose to add an additional EBS volume for repository storage. Follow the same guidance as above. See the [Amazon EBS pricing](https://aws.amazon.com/ebs/pricing/).
Now that we have our EC2 instance ready, follow the [documentation to install GitLab and set up Gitaly on its own server](../../administration/gitaly/index.md#running-gitaly-on-its-own-server). Perform the client setup steps from that document on the [GitLab instance we created](#install-gitlab) above.
As we are terminating SSL at our [load balancer](#load-balancer), follow the steps at [Supporting proxied SSL](https://docs.gitlab.com/omnibus/settings/nginx.html#supporting-proxied-ssl) to configure this in `/etc/gitlab/gitlab.rb`.
The public SSH keys for users allowed to access GitLab are stored in `/var/opt/gitlab/.ssh/authorized_keys`. Typically we'd use shared storage so that all the instances are able to access this file when a user performs a Git action over SSH. Since we do not have shared storage in our setup, we'll update our configuration to authorize SSH users via indexed lookup in the GitLab database.
Follow the instructions at [Setting up fast lookup via GitLab Shell](../../administration/operations/fast_ssh_key_lookup.md#setting-up-fast-lookup-via-gitlab-shell) to switch from using the `authorized_keys` file to the database.
Ordinarily we would manually copy the contents (primary and public keys) of `/etc/ssh/` on the primary application server to `/etc/ssh` on all secondary servers. This prevents false man-in-the-middle-attack alerts when accessing servers in your cluster behind a load balancer.
We'll automate this by creating static host keys as part of our custom AMI. As these host keys are also rotated every time an EC2 instance boots up, "hard coding" them into our custom AMI serves as a handy workaround.
Since we're not using NFS for shared storage, we will use [Amazon S3](https://aws.amazon.com/s3/) buckets to store backups, artifacts, LFS objects, uploads, merge request diffs, container registry images, and more. Our documentation includes [instructions on how to configure object storage](../../administration/object_storage.md) for each of these data types, and other information about using object storage with GitLab.
NOTE: **Note:**
Since we are using the [AWS IAM profile](#create-an-iam-role) we created earlier, be sure to omit the AWS access key and secret access key/value pairs when configuring object storage. Instead, use `'use_iam_profile' => true` in your configuration as shown in the object storage documentation linked above.
There is [work in progress](https://gitlab.com/gitlab-org/gitlab-pages/issues/196)
to eliminate the need for NFS to support GitLab Pages.
---
That concludes the configuration changes for our GitLab instance. Next, we'll create a custom AMI based on this instance to use for our launch configuration and auto scaling group.
### Create custom AMI
On the EC2 dashboard:
1. Select the `GitLab` instance we [created earlier](#install-gitLab).
1. Click on **Actions**, scroll down to **Image** and click **Create Image**.
1. Give your image a name and description (we'll use `GitLab-Source` for both).
1. Leave everything else as default and click **Create Image**
Now we have a custom AMI that we'll use to create our launch configuration the next step.
## Deploy GitLab inside an auto scaling group
### Create a launch configuration
From the EC2 dashboard:
1. Select **Launch Configurations** from the left menu and click **Create launch configuration**.
1. Select **My AMIs** from the left menu and select the `GitLab` custom AMI we created above.
1. Select an instance type best suited for your needs (at least a `c5.xlarge`) and click **Configure details**.
1. Enter a name for your launch configuration (we'll use `gitlab-ha-launch-config`).
1. Leave the rest as defaults and click **Add Storage**.
1. The root volume is 8GiB by default and should be enough given that we won’t store any data there. Click **Configure Security Group**.
1. Check **Select and existing security group** and select the `gitlab-loadbalancer-sec-group` we created earlier.
1. Click **Review**, review your changes, and click **Create launch configuration**.
1. Acknowledge that you have access to the private key or create a new one. Click **Create launch configuration**.
### Create an auto scaling group
1. As soon as the launch configuration is created, you'll see an option to **Create an Auto Scaling group using this launch configuration**. Click that to start creating the auto scaling group.
1. Enter a **Group name** (we'll use `gitlab-auto-scaling-group`).
1. For **Group size**, enter the number of instances you want to start with (we'll enter `2`).
1. Select the `gitlab-vpc` from the **Network** dropdown.
1. Add both the private [subnets we created earlier](#subnets).
1. Expand the **Advanced Details** section and check the **Receive traffic from one or more load balancers** option.
1. We'll leave our **Health Check Grace Period** as the default `300` seconds. Click **Configure scaling policies**.
1. Check **Use scaling policies to adjust the capacity of this group**.
1. For this group we'll scale between 2 and 4 instances where one instance will be added if CPU
utilization is greater than 60% and one instance is removed if it falls
to less than 45%.
![Auto scaling group policies](img/policies.png)
1. Finally, configure notifications and tags as you see fit, review your changes, and create the
auto scaling group.
As the auto scaling group is created, you'll see your new instances spinning up in your EC2 dashboard. You'll also see the new instances added to your load balancer. Once the instances pass the heath check, they are ready to start receiving traffic from the load balancer.
Since our instances are created by the auto scaling group, go back to your instances and terminate the [instance we created manually above](#install-gitlab). We only needed this instance to create our custom AMI.
Using the domain name you used when setting up [DNS for the load balancer](#configure-dns-for-load-balancer), you should now be able to visit GitLab in your browser. The very first time you will be asked to set up a password