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jnunemaker avatar

jnunemaker/flipper

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3,952 Stars·432 Forks·Ruby·MIT·9 Aufrufewww.flippercloud.io/docs↗

Flipper

Flipper ist ein Feature-Toggle-System und eine Library für Ruby-Anwendungen. Es ermöglicht die Verwaltung von Anwendungsfunktionen durch das Ein- und Ausschalten von Features, ohne dass neuer Code bereitgestellt werden muss.

Das System bietet einen Mechanismus zur Steuerung der Codeausführung durch boolesche Zustände, akteur-basierten Zugriff und prozentuale Traffic-Rollouts. Es enthält eine Verwaltungsoberfläche zur Echtzeit-Änderung von Flag-Zuständen sowie eine zentrale Registry zur Nachverfolgung verfügbarer Funktionen.

Das Projekt deckt ein breites Spektrum an operativen Möglichkeiten ab, darunter umgebungsspezifische Flag-Isolierung, Konfigurationssynchronisation über Deployment-Ziele hinweg und Audit-Logging zur Nachverfolgung von Änderungen. Es unterstützt verschiedene Storage-Backends über eine Adapter-Schicht und nutzt eine Caching-Strategie zur Reduzierung der Abfragelatenz. Zusätzliche Funktionen umfassen zeitgesteuerte Feature-Aktivierung, Canary-Release-Management und automatisierte Benachrichtigungen via Slack-Integration.

Features

  • Feature Flags - Provides a comprehensive Ruby library for managing runtime feature toggles and configuration flags.
  • Feature Flags - Provides a comprehensive system for managing and toggling feature flag configurations in Ruby applications.
  • Targeted Feature Rollouts - Controls functionality based on boolean states, specific actors, defined groups, or percentage-based rollouts.
  • Database Persistence Stores - Provides a persistent storage layer for feature flag configurations using various database backends.
  • Multi-Backend Task Persistence - Supports persisting feature flag configurations across diverse backends including relational databases, NoSQL, and key-value stores.
  • Storage Backend Adapters - Provides an adapter-based storage layer allowing the use of custom persistent backends for feature flags.
  • Environment-Specific Configurations - Isolates feature states by mapping flag configurations to specific deployment targets like staging or production.
  • Management Dashboards - Provides a web-based interface for modifying feature flag states in real-time.
  • Management Interfaces - Ships a web-based management interface for modifying feature flag states in real-time.
  • Web Management Consoles - Ships a management console for modifying feature flag settings via a web interface.
  • Runtime Feature Toggles - Implements a system for instantly enabling or disabling application features at runtime without redeployment.
  • Actor-Based Traffic Splitting - Calculates feature access by hashing actor identifiers to distribute users across defined traffic percentages.
  • Actor-Based Access Controls - Implements feature availability logic based on the identity or attributes of specific users or actors.
  • Functional Access Controls - Controls code execution at runtime by enabling or disabling functionality for specific users or traffic percentages.
  • Feature Flag Caches - Implements a memory-layer caching strategy to reduce latency during feature flag lookups.
  • Feature Configuration Syncing - Maintains consistent feature states across staging and production environments to ensure predictable deployments.
  • Feature Flag - Provides a RESTful HTTP API for the programmatic update and retrieval of feature flag configuration settings.
  • Multi-Layered Caching - Reduces database load by implementing a memory-layer cache for frequently accessed flag states.
  • Cross-Environment Configuration Synchronization - Provides a mechanism to mirror feature states between environments to ensure consistency across deployment targets.
  • Canary Release Managers - Enables gradual feature rollouts to a small percentage of users to test stability before full production launch.
  • Feature Activation Scheduling - Implements a time-based automation system for enabling or disabling features using temporal expressions.
  • Feature State Dashboards - Provides a dashboard to display the current state of features across production and staging environments.
  • Configuration Cascading - Provides a system for cascading feature settings across multiple environments with full audit history.
  • Time-Based Scheduling - Automates feature state changes using time-based expressions for scheduled activations.
  • Feature Flag Registries - Includes a central registry for tracking available capabilities by adding, removing, and listing feature flags.
  • Administrative Change Auditing - Maintains a historical record of all administrative configuration changes to feature flags for auditing and rollbacks.
  • Audit Logs - Maintains historical records of all configuration changes to track ownership and enable state rollbacks.
  • Configuration State Comparisons - Provides a visualization tool to compare feature toggle statuses across different environments.
  • Feature Change Auditing - Tracks who changed a feature toggle and when to maintain a history of application behavior changes.
  • Feature Rollout Monitoring - Provides a visualization tool for monitoring active flags across environments to track rollout progress.
  • Feature Flippers and A/B Testing - Manage feature toggles across various data stores.

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Häufig gestellte Fragen

Was macht jnunemaker/flipper?

Flipper ist ein Feature-Toggle-System und eine Library für Ruby-Anwendungen. Es ermöglicht die Verwaltung von Anwendungsfunktionen durch das Ein- und Ausschalten von Features, ohne dass neuer Code bereitgestellt werden muss.

Was sind die Hauptfunktionen von jnunemaker/flipper?

Die Hauptfunktionen von jnunemaker/flipper sind: Feature Flags, Targeted Feature Rollouts, Database Persistence Stores, Multi-Backend Task Persistence, Storage Backend Adapters, Environment-Specific Configurations, Management Dashboards, Management Interfaces.

Welche Open-Source-Alternativen gibt es zu jnunemaker/flipper?

Open-Source-Alternativen zu jnunemaker/flipper sind unter anderem: tompave/fun_with_flags — This project is a feature flag library for Elixir applications, designed to manage and toggle application… growthbook/growthbook — GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data… flagsmith/flagsmith — Flagsmith is an open-source platform for managing feature flags and remote configuration across web, mobile, and… vespa-engine/vespa — Vespa is a distributed search engine, vector database, and machine learning ranking engine. It serves as an AI search… parse-community/parse-server — Parse Server is a backend-as-a-service solution and Node.js framework that provides a ready-to-use REST and GraphQL… weaveworks/flagger — Flagger is a Kubernetes operator designed to automate the lifecycle of application deployments through progressive…