Commit f0c7ebe7 authored by Achilleas Pipinellis's avatar Achilleas Pipinellis

Merge branch 'add-links-for-official-aws-amis-2' into 'master'

Add links for official AMIs

See merge request gitlab-org/gitlab!55201
parents 22c428b6 5a8ce5e4
...@@ -449,9 +449,8 @@ We will need a preconfigured, custom GitLab AMI to use in our launch configurati ...@@ -449,9 +449,8 @@ We will need a preconfigured, custom GitLab AMI to use in our launch configurati
From the EC2 dashboard: From the EC2 dashboard:
1. Click **Launch Instance** and select **Community AMIs** from the left menu. 1. Use the section below titled "[Find official GitLab-created AMI IDs on AWS](#find-official-gitlab-created-ami-ids-on-aws)" to find the correct AMI to launch.
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. After clicking **Launch** on the desired AMI, 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. 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. Click **Configure Instance Details**:
1. In the **Network** dropdown, select `gitlab-vpc`, the VPC we created earlier. 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. In the **Subnet** dropdown, select `gitlab-private-10.0.1.0` from the list of subnets we created earlier.
...@@ -789,6 +788,24 @@ For GitLab 12.1 and earlier, use `gitlab-rake gitlab:backup:create`. ...@@ -789,6 +788,24 @@ For GitLab 12.1 and earlier, use `gitlab-rake gitlab:backup:create`.
After a few minutes, the new version should be up and running. After a few minutes, the new version should be up and running.
## Find official GitLab-created AMI IDs on AWS
To find the AMIs generated by GitLab:
1. Login to AWS Web Console, so that clicking the links below will take you directly to the AMI list.
1. Pick the edition you want:
- [GitLab Enterprise Edition](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#Images:visibility=public-images;ownerAlias=782774275127;search=GitLab%20EE;sort=desc:name): If you want to unlock the enterprise features, a license is needed. Recommended for this guide.
- [GitLab Community Edition](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#Images:visibility=public-images;ownerAlias=782774275127;search=GitLab%20CE;sort=desc:name): The open source version of GitLab.
- [GitLab Premium or Ultimate Marketplace (Prelicensed)](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#Images:visibility=public-images;source=Marketplace;search=GitLab%20EE;sort=desc:name): 5 user license built into per-minute billing.
1. AMI IDs are unique per region, so once you've loaded one of the above, select the desired target region in the upper right of the console to see the appropriate AMIs.
1. Once the console is loaded, you can add additional search criteria to narrow further. For instance, `13.` to find only 13.x versions.
1. To launch an EC2 Machine with one of the listed AMIs, check the box at the start of the relevant row, and select the "Launch" button near the top of left of the page.
NOTE:
If you are trying to restore from an older version of GitLab while moving to AWS, find the
[Enterprise and Community Editions Before 11.10.3](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#Images:visibility=public-images;ownerAlias=855262394183;sort=desc:name).
## Conclusion ## Conclusion
In this guide, we went mostly through scaling and some redundancy options, In this guide, we went mostly through scaling and some redundancy options,
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