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GridFS is a storage specification for large objects in MongoDB.
Package apache-airflow-providers-mongo MongoDB
This is a metapackage bringing in mongodb extras requires for python3-celery. It makes sure the dependencies are installed.
An open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using web hooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB and databases (using SQLAlchemy or the Django ORM) is also available.
A multiprocessing distributed task queue for Django Features: - Multiprocessing worker pool - Asynchronous tasks - Scheduled, cron and repeated tasks - Signed and compressed packages - Failure and success database or cache - Result hooks, groups and chains - Django Admin integration - PaaS compatible with multiple instances - Multi cluster monitor - Redis, Disque, IronMQ, SQS, MongoDB or ORM - Rollbar and Sentry support
Flask-Admin is advanced, extensible and simple to use administrative interface building extension for Flask framework. It comes with batteries included: model scaffolding for SQLAlchemy, MongoEngine, MongoDB and Peewee ORMs, simple file management interface and a lot of usage samples. You're not limited by the default functionality - instead of providing simple scaffolding for the ORM models, Flask-Admin provides tools that can be used to construct administrative interfaces of any complexity, using a consistent look and feel.
The following features are available: Backup file system using point-in-time snapshot Strong encryption supported: AES-256-CFB Backup file system tree directly (without volume snapshot) Backup journalled MongoDB directory tree using lvm snapshot to Swift Backup MySQL with lvm snapshot Restore data from a specific date automatically to file system Low storage consumption as the backup are uploaded as a stream Flexible backup policy (incremental and differential) Data is archived in GNU Tar format for file based incremental Multiple compression algorithm support (zlib, bzip2, xz) Remove old backup automatically according to the provided parameters Multiple storage media support (Swift, local file system, or ssh) Flush kernel buffered memory to disk Multi-platform (Linux, Windows, *BSD, OSX) Manage multiple jobs (I.e., multiple backups on the same node) Synchronize backups and restore on multiple nodes Web user interface integrated with OpenStack Horizon Execute scripts/commands before or after a job execution More …