Reference architecture: up to 1,000 users (CORE ONLY)
This page describes GitLab reference architecture for up to 1,000 users. For a full list of reference architectures, see Available reference architectures.
If you need to serve up to 1,000 users and you don't have strict availability requirements, a single-node solution with frequent backups is appropriate for many organizations .
- Supported users (approximate): 1,000
- High Availability: No. For a highly-available environment, you can follow the 3K reference architecture.
|Up to 500||4 vCPU, 3.6 GB memory||n1-highcpu-4||c5.xlarge||F4s v2|
|Up to 1,000||8 vCPU, 7.2 GB memory||n1-highcpu-8||c5.2xlarge||F8s v2|
The Google Cloud Platform (GCP) architectures were built and tested using the Intel Xeon E5 v3 (Haswell) CPU platform. On different hardware you may find that adjustments, either lower or higher, are required for your CPU or node counts. For more information, see our Sysbench-based CPU benchmark.
In addition to the stated configurations, we recommend having at least 2 GB of
swap on your server, even if you currently have enough available memory. Having
swap helps to reduce the chance of errors occurring if your available memory
changes. We also recommend configuring the kernel's swappiness setting to a
lower value (such as
10) to make the most of your memory, while still having
the swap available when needed.
To install GitLab for this default reference architecture, use the standard installation instructions.
You can also optionally configure GitLab to use an external PostgreSQL service or an external object storage service for added performance and reliability at a reduced complexity cost.
Configure Advanced Search (STARTER ONLY)
You can leverage Elasticsearch and enable Advanced Search for faster, more advanced code search across your entire GitLab instance.
Elasticsearch cluster design and requirements are dependent on your specific data. For recommended best practices about how to set up your Elasticsearch cluster alongside your instance, read how to choose the optimal cluster configuration.