Sensu plugins for uchiwa

Sensu plugins for varnish

Sensu Vault plugins

Sensu plugins for Victorops alerting service

Sensu plugins for working with xmpp

Sensu plugin for zfs

A tool for translating Sensu 1.x config to the Sensu 2.x format.

Sentry exception report support for Jets

A Sequel plugin that logs changes made to an audited model, including who created, updated and destroyed the record, and what was changed and when the change was made. This plugin provides model auditing (a.k.a: record versioning) for DB scenarios when DB triggers are not possible. (ie: on a web app on Heroku).

Bitemporal versioning for sequel, fully tested.

Every update on audited table will be logged. You can update in bulk

A plugin for the Sequel gem to sync data to Elasticsearch.

A data mapper built on top of the Sequel database toolkit

Extension for ruby Sequel library that allows using PostgreSQL advisory locks for application-level mutexes.

Allows easy manipulation of Postgres schemas from Ruby with Sequel

Create horizontally sharded Sequel models with Postgres

Generic, flexible seek pagination implementation for Sequel and PostgreSQL

Sequel adapter for Snowflake

Offer tooling for common database operations, such as running Sequel migrations, store and load from the database schema, rollback, redo some migration, rerun all migrations, display applied and missing migrations. It allows integration with Rake, while being lazily evaluated to not slow down other Rake tasks. It's also configurable in order to support more actions and database vendors. Some tasks are currently implemented for PostgreSQL only for the time being out of the box. It should be possible to complement this gem with another one to support other database vendors, while taking advantage of the build blocks provided by this tool set.

Ruby implementation of the Sequitur algorithm. This algorithm automatically finds repetitions and hierarchical structures in a given sequence of input tokens. It encodes the input into a context-free grammar. The Sequitur algorithm can be used to a) compress a sequence of items, b) discover patterns in an sequence, c) generate grammar rules that can represent a given input.