Redis : 1$

n8n-Optimized Redis Database

Deploy Redis : 1$

redis-workflow

antisofisme/railway

Just deployed

/bitnami/redis/data

n8n-Optimized Redis Database

What You Get

This template provides a Redis in-memory database service optimized for use within n8n workflows as a data storage, caching, and message broker solution.

Components:

  • Redis: High-performance in-memory database with n8n node integration

Key Features

  • n8n Node Integration: Ready for Redis node operations in your workflows
  • Data Persistence: Store workflow data between executions
  • Caching Layer: Improve performance by caching API responses
  • Pub/Sub Messaging: Build event-driven workflows with message subscriptions
  • Atomic Operations: Reliable counters and distributed locks for workflows
  • Fast Storage: Sub-millisecond data access for time-sensitive operations
  • IPv6 Ready: Full IPv6 support for Railway's network infrastructure

Usage In n8n Workflows

  1. Add Redis Node: Use the Redis node in your n8n workflows
  2. Configure Connection: Enter the connection details shown below
  3. Choose Operations: Use SET, GET, HSET, PUBLISH, SUBSCRIBE, and other Redis commands

Redis Node Configuration

When adding a Redis node in your n8n workflow, use these credentials:

  • Host: ${{redis.REDIS_HOST}}
  • Port: ${{redis.REDIS_PORT}} (typically 6379)
  • Username: ${{redis.REDIS_USERNAME}} (typically "default")
  • Password: ${{redis.REDIS_PASSWORD}}
  • Database: 0
  • Use TLS/SSL: No (unless specifically configured)

Common Workflow Use Cases

  • API Rate Limiting: Store API call counts and timestamps
  • Cross-Workflow Data Sharing: Share data between different workflows
  • Caching: Store expensive API responses for reuse
  • Job Queues: Create custom queuing systems with RPUSH/LPOP
  • Counters: Track metrics with atomic increment operations
  • Session Storage: Maintain web session state across workflow runs
  • Feature Flags: Store flags to control workflow behavior

Technical Specifications

  • Redis 7.x with optimized configuration
  • Persistent storage for reliable data retention
  • Memory policies tuned for workflow data patterns
  • High availability for mission-critical workflows
  • Maximum compatibility with n8n Redis nodes

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Template Content

redis-workflow

antisofisme/railway

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