GitLab Site Reliability Engineering for AWS

AWS known issues list

Known issues are gathered from within GitLab and from customer reported issues. 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. While GitLab does take partner technologies very seriously, the highlighting of known issues here is a convenience for implementers and it does not imply that GitLab has targeted compatibility with, nor carries any type of guarantee of running on the partner technology where the issues occur. Please consult individual issues to understand GitLabs stance and plans on any given known issue.

See the GitLab AWS known issues list for a complete list.

Gitaly SRE considerations

Gitaly is an embedded service for Git Repository Storage. Gitaly and Gitaly Cluster have been engineered by GitLab to overcome fundamental challenges with horizontal scaling of the open source Git binaries that must be used on the service side of GitLab. Here is indepth technical reading on the topic:

Why Gitaly was built

If you would like to understand the underlying rationale on why GitLab had to invest in creating Gitaly, read the following minimal list of topics:

Gitaly and Praefect elections

As part of Gitaly cluster consistency, Praefect nodes will occasionally need to vote on what data copy is the most accurate. This requires an uneven number of Praefect nodes to avoid stalemates. This means that for HA, Gitaly and Praefect require a minimum of three nodes.

Gitaly performance monitoring

Complete performance metrics should be collected for Gitaly instances for identification of bottlenecks, as they could have to do with disk IO, network IO or memory.

Gitaly performance guidelines

Gitaly functions as the primary Git Repository Storage in GitLab. However, it’s not simply a streaming file server. It also does a lot of demanding computing work, such as preparing and caching Git pack files which informs some of the performance recommendations below.

note
All recommendations are for production configurations, including performance testing. For test configurations, like training or functional testing, you can use less expensive options. However, you should adjust or rebuild if performance is an issue.

Overall recommendations

CPU and memory recommendations

  • The general GitLab Gitaly node recommendations for CPU and Memory assume relatively even loading across repositories. GPT testing of any non-characteristic repositories and/or SRE monitoring of Gitaly metrics may inform when to choose memory and/or CPU higher than general recommendations.

To accommodate:

  • Git Pack file operations are memory and CPU intensive.
  • If repository commit traffic is dense, large, or very frequent, then more CPU and Memory are required to handle the load. Patterns such as storing binaries and/or busy or large monorepos are examples that can cause high loading.

Disk I/O recommendations

  • Use only SSD storage and the class of EBS storage that suites your durability and speed requirements.
  • When not using provisioned EBS IO, EBS volume size determines the I/O level, so provisioning volumes that are much larger than needed can be the least expensive way to improve EBS IO.
  • If Gitaly performance monitoring shows signs of disk stress then one of the provisioned IOPs levels can be chosen. Note that EBS IOPs levels also have enhanced durability which may be appealing for some implementations aside from performance considerations.

To accommodate:

  • Gitaly storage is expected to be local (not NFS of any type including EFS).
  • Gitaly servers also need disk space for building and caching Git pack files. This is above and beyond the permanent storage of your Git Repositories.
  • Git Pack files are cached in Gitaly. Creation of pack files in temporary disk benefits from fast disk, and disk caching of pack files benefits from ample disk space.

Network I/O recommendations

  • Use only instance types from the list of ones that support ENA advanced networking to ensure that cluster replication latency is not due to instance level network I/O bottlenecking.
  • Choose instances with sizes with more than 10 Gbps - but only if needed and only when having proven a node level network bottleneck with monitoring and/or stress testing.

To accommodate:

  • Gitaly nodes do the main work of streaming repositories for push and pull operations (to add development endpoints, and to CI/CD).
  • Gitaly servers need reasonable low latency between cluster nodes and with Praefect services in order for the cluster to maintain operational and data integrity.
  • Gitaly nodes should be selected with network bottlenecking avoidance as a primary consideration.
  • Gitaly nodes should be monitored for network saturation.
  • Not all networking issues can be solved through optimizing the node level networking:
    • Gitaly cluster node replication depends on all networking between nodes.
    • Gitaly networking performance to pull and push endpoints depends on all networking in between.

AWS Gitaly backup

Due to the nature of how Praefect tracks the replication metadata of Gitaly disk information, the best backup method is the official backup and restore Rake tasks.

AWS Gitaly recovery

Gitaly Cluster does not support snapshot backups as these can cause issues where the Praefect database becomes out of syn with the disk storage. Due to the nature of how Praefect rebuilds the replication metadata of Gitaly disk information during a restore, the best recovery method is the official backup and restore Rake tasks.

Gitaly HA in EKS quick start

The AWS GitLab Cloud Native Hybrid on EKS Quick Start for GitLab Cloud Native implements Gitaly as a multi-zone, self-healing infrastructure. It has specific code for reestablishing a Gitaly node when one fails, including AZ failure.

Gitaly long term management

Gitaly node disk sizes will need to be monitored and increased to accommodate Git repository growth and Gitaly temporary and caching storage needs. The storage configuration on all nodes should be kept identical.