felixmosh/bull-board

Features

• Queue Monitoring Dashboards - Provides a comprehensive web dashboard for monitoring the health, throughput, and status of Redis-backed queues.
• Background Job Monitoring - Provides a visual dashboard for tracking the status, health, and progress of BullMQ background tasks.
• Background Job Queues - Provides tools for manually retrying, deleting, or editing tasks across multiple background queues.
• Lifecycle Management - Enables creating, duplicating, editing, or deleting individual jobs and clearing scheduled tasks.
• Job Workflow Administrators - Provides a centralized interface for managing the full lifecycle of jobs across different queue adapters.
• Dashboards - Offers a web-based dashboard for monitoring, managing, and manipulating background jobs powered by BullMQ and Bull.
• Processing Controls - Allows pausing or resuming job processing at the queue level to regulate the flow of workloads.
• Background Job Administrative Panels - Provides a control panel for pausing queues, retrying completed jobs, and managing the lifecycle of asynchronous tasks.
• Job Lifecycle Management Tools - Enables controlling and manipulating individual jobs within a queue to change their execution status.
• Queue Administration Interfaces - Ships a secure web dashboard to monitor and regulate the flow of background jobs within a server framework.
• Job Monitoring Tools - Provides dedicated tools for inspecting the current status and health of jobs within the queue system.
• Queue Administration Dashboards - Provides a pluggable administrative interface to oversee queue processing in Node.js environments.
• Framework-Agnostic Request Handlers - Exposes the dashboard as a set of request handlers that can be plugged into any Node.js web server.
• Job Status Monitoring - Ships visual progress bars and status tabs to track the real-time execution of asynchronous processing jobs.
• Web Framework Integrations - Supports connecting the administrative interface to various server frameworks as a dedicated route.
• Dependency Visualizations - Renders a tree representation of job dependencies to help users understand complex execution chains.
• Job Dependency Visualizers - Renders hierarchical job relationships by traversing parent-child links within queue metadata.
• Interface Access Security - Restricts access to the administrative interface and sensitive statistics using customizable authentication guards.
• Queue Visualizers - Provides a visual interface for inspecting job states, payloads, and dependency flows stored in Redis.
• Visual Workflow Orchestrators - Manages complex job dependencies and execution chains through a visual interface to ensure correct workflow ordering.
• Queue Backend Adapters - Implements an adapter-based system to provide unified administrative controls across different queue backends.
• Queue Throughput Analytics - Tracks job throughput and processing rates to identify bottlenecks and optimize background workload speed.
• Job Re-executions - Triggers the re-execution of jobs that have already reached a completed state to correct errors or update data.
• State-Driven UI Rendering - Uses a reactive frontend to map job states into visual progress bars and status tabs.

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