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A syslog processing system that stores received messages in an Elasticsearch database. When coupled with the graylog-web-interface, which provides a front-end web interface, will allow for powerful message analytics for a server network. Other information, including but not limited to user credentials, stream configurations, etc, are stored in MongoDB
ORM for every database: redis, mysql, neo4j, mongodb, couchdb, postgres, sqlite
MongoDB adapter for jugglingdb
A node.js driver for MongoDB
Mongoose MongoDB ODM
Expressive query building for MongoDB
MongoDB URI parser
Monitoring for MongoDB (component)
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 webhooks. 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.
Dual API, promise based version of JugglingDB, the ORM for every database: redis, mysql, neo4j, mongodb, couchdb, postgres, sqlite