Customers successfully implement GitLab with a variety of “as a Service” components that GitLab has not specifically been designed for, nor has ongoing testing for. Known issues are gathered from within GitLab and from customer reported issues.
Retrieving temporary credentials for access to AWS services.The Guided Explorations’ subgroup for AWS contains a variety of working example projects for: The feature list for this implementation pattern is good to review to understand the complete value it can deliver. The following repository is self-contained in regard to enabling this pattern: GitLab HA Scaling Runner Vending Machine for AWS EC2 ASG.
Patterns for Scaling HA GitLab Runner on AWS EC2 Auto Scaling group (ASG) Patterns for EKS cluster provisioningĮKS Cluster Provisioning Patterns - considerations for setting up EKS cluster for runners and for integrating.
HOW TO INSTALL GITLAB ON AWS MANUAL
Manual instructions to build a GitLab instance or create your own Infrastructure as Code (IaC). Omnibus GitLab on AWS EC2 (HA) - instructions for installing GitLab on EC2 instances. Patterns to Install Omnibus GitLab on AWS EC2 (HA) GitLab Cloud Native Hybrid is the supported way to put as much of GitLab as possible into Kubernetes. It also includes Bill of Materials listings and links to Infrastructure as Code. This document includes instructions, patterns, and automation for installing GitLab Cloud Native Hybrid on AWS EKS. Provision GitLab Cloud Native Hybrid on AWS EKS (HA). Patterns to Install GitLab Cloud Native Hybrid on AWS EKS (HA) GitLab Site Reliability Engineering (SRE) for AWS - information for planning, implementing, upgrading, and long term management of GitLab instances and runners on AWS. GitLab Site Reliability Engineering (SRE) for AWS The following are the currently available implementation patterns for GitLab when it is implemented on AWS. A more thorough discussion of implementation patterns is below in Additional details on implementation patterns. Implementation patterns are built on the foundational information and testing done for Reference Architectures and allow architects and implementers at GitLab, GitLab Customers, and GitLab Partners to build out deployments with less experimentation and a higher degree of confidence that the results perform as expected. This is what enables Reference Architectures to be adaptable to the broadest number of supported implementations.
This generally means they have a highly-granular “machine” to “server role” specification and focus on system elements that impact performance. Reference Architectures are purpose-designed to be non-implementation specific so they can be extrapolated to as many environments as possible. GitLab Reference Architectures give qualified and tested guidance on the recommended ways GitLab can be configured to meet the performance requirements of various workloads.
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