configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS:

configuration required to run Weblate on a single host (Weblate, database and webserver): • 2 GB of RAM • 2 CPU cores • 1 GB of storage space The more memory the better - it is used for caching on all levels (filesystem (filesystem, database and Weblate). Many concurrent users increases the amount of needed CPU cores. For hundreds of translation components at least 4 GB of RAM is recommended. The typical database storage virtual machines as these typically have few CPUs and good amount of memory. In case you have a lot of CPU cores and hit out of memory issues, try reducing number of workers: environment: WEBLATE_WORKERS: