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This page discusses performance and hardware considerations when using Stash Server.
Note that Stash Data Center, not discussed on this page, uses a cluster of Stash nodes to provide Active/Active failover, and is the deployment option of choice for larger enterprises that require high availability and performance at scale.
The type of hardware you require to run Stash depends on a number of factors:
The following are rough guidelines for choosing your hardware:
Most of the things you do in Stash involve both the Stash server and one or more Git processes created by Stash. For instance, when you view a file in the Stash web application, Stash processes the incoming request, performs permission checks, creates a Git process to retrieve the file contents and formats the resulting webpage. In serving most pages, both the Stash server and Git processes are involved. The same is true for the 'hosting' operations: pushing your commits to Stash, cloning a repository from Stash or fetching the latest changes from Stash.
As a result, when configuring Stash for performance, CPU and memory consumption for both Stash and Git should be taken into account.
When deciding on how much memory to allocate for Stash, the most important factor to consider is the amount of memory required for Git. Some Git operations are fairly expensive in terms of memory consumption, most notably the initial push of a large repository to Stash and cloning large repositories from Stash. For large repositories, it is not uncommon for Git to use up to 500 MB of memory during the clone process. The numbers vary from repository to repository, but as a rule of thumb 1.5 x the repository size on disk (contents of the .git/objects directory) is a rough estimate of the required memory for a single clone operation for repositories up to 400 MB. For larger repositories, memory usage flattens out at about 700 MB.
The clone operation is the most memory intensive Git operation. Most other Git operations, such as viewing file history, file contents and commit lists are lightweight by comparison.
Stash has been designed to have fairly constant memory usage. Any pages that could show large amounts of data (e.g. viewing the source of a multi-megabyte file) perform incremental loading or have hard limits in place to prevent Stash from holding on to large amounts of memory at any time. In general, the default memory settings (max. 768 MB) should be sufficient to run Stash. The maximum amount of memory available to Stash can be configured in
setenv.sh or setenv.bat.
The memory consumption of Git is not managed by the memory settings in setenv.sh or setenv.bat. The Git processes are executed outside of the Java virtual machine, and as a result the JVM memory settings do not apply to Git.
In Stash, much of the heavy lifting is delegated to Git. As a result, when deciding on the required hardware to run Stash, the CPU usage of the Git processes is the most important factor to consider. And, as is the case for memory usage, cloning large repositories is the most CPU intensive Git operation. When you clone a repository, Git on the server side will create a pack file (a compressed file containing all the commits and file versions in the repository) that is sent to the client. While preparing a pack file, CPU usage will go up to 100% for one CPU.
For users that connect to Stash using SSH, the encryption of data adds to overall CPU usage. For day-to-day push and pull operations the overhead will not be significant, but when cloning repositories the overhead will be noticeable.
To get the maximum performance from Stash, we advise configuring automatic build tools to use the http or https protocol, if possible.
Since cloning a repository is the most demanding operation in terms of CPU and memory, it is worthwhile analyzing the clone operation a bit closer. The following graphs show the CPU and memory usage of a clone of a 220 MB repository:
Git process (blue line)
Stash (red line)
Git process (blue line)
Stash (red line)
This graph shows how concurrency affects average response times for clones:
The measurements for this graph were done on a 4 CPU server with 12 GB of memory.
Response times become exponentially worse as the number of concurrent clone operations
exceed the number of CPUs.
Stash limits the number of Git operations that can be executed concurrently, to prevent the performance for all clients dropping below acceptable levels. These limits can be adjusted – see Stash config properties.
The size of the database required for Stash depends in large part on the number of repositories and the number of commits in those repositories.
A very rough guideline is: 100 + ((total number of commits across all repos) / 2500) MB.
So, for example, for 20 repositories with an average of 25,000 commits each, the database would need 100 + (20 * 25,000 / 2500) = 300MB.