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Reasons not to use a ram optimizer
Reasons not to use a ram optimizer












reasons not to use a ram optimizer

Since not all components are used at the same time, it should provide acceptable performance. With these minimal settings, the system should use swap during regular operation. Storage is especially relevant since in a constrained environment we expect someĪmount of memory swapping to happen which puts more pressure on a used disk.Ī common problem for the limited performance of small platforms is very slow disk storage, Of the above list, the single-core performance of the CPUĪnd the random I/O performance of the storage have the highest impact.

reasons not to use a ram optimizer

A storage with a good random I/O performance with an order of preference:.Minimum 2GB of RAM + 1GB of SWAP, optimally 2.5GB of RAM + 1GB of SWAP.4 CPU cores of ARM7/ARM64 or 1 CPU core of AMD64 architecture.Linux-based system (ideally Debian-based or RedHat-based).The minimum expected specs with which GitLab can be run are: Minimum requirements for constrained environments

reasons not to use a ram optimizer

With up to 5 developers with individual Git projects no larger than 100MB. Of both product functionality and performance. While most GitLab parts should beįunctional with these settings in place, you may experience unexpected degradation That do not meet the minimum requirements. The following sections contain advice that will allow GitLab to run in environments With some adjustments, GitLab can run comfortably on much lower specifications than described in

  • Using resource-constrained devices like the Raspberry PI.
  • Using a small instance on a cloud provider for cost savings.
  • Running GitLab for personal use or very small teams.
  • There are use-cases such as running GitLab on smaller installations where not all functionality GitLab requires a significant amount of memory when running with all features enabled.
  • Performance results Running GitLab in a memory-constrained environment.
  • Disable additional in-application monitoring.
  • Validate the performance of your system.
  • Minimum requirements for constrained environments.













  • Reasons not to use a ram optimizer