C Code Guides

Redis ARM64 Docker Crash: Troubleshooting Guide

ADMIN May 11, 2026

Recent reports have highlighted a critical issue impacting users attempting to run the latest redis:alpine Docker image on ARM64 architecture, specifically on Raspberry Pi devices. The core problem manifests as a sudden and unexpected crash upon startup, often accompanied by a segmentation fault (Signal 4) and detailed stack traces pointing towards issues within Redis modules, particularly redisearch.so and redisbloom.so. This article aims to dissect this problem, explore its potential causes, and provide a comprehensive guide to troubleshooting and resolving it.

Understanding the Symptoms: The Crash Report

The provided error logs paint a clear picture of the failure. Upon initiating the Redis server within a Docker container on an ARM64 system, the process encounters a fatal error.

Key indicators from the crash report include:

  • Signal 4 (SIGILL or SIGSEGV): This typically signifies an illegal instruction or a segmentation fault, meaning the program attempted to access memory it shouldn’t have or execute an invalid instruction. The log specifies si_code: 1, which can further refine the nature of the fault.
  • Stack Trace Analysis: The stack trace is crucial for pinpointing the origin of the crash. In this case, the trace repeatedly points to functions within /usr/local/lib/redis/modules//redisearch.so and redisbloom.so. This strongly suggests that the problem isn’t with the core Redis server itself, but rather with one or more of its loaded modules, or how these modules interact with the ARM64 architecture and potentially the specific version of the base OS or Docker image.
  • ARM Architecture Specifics: The inspect output confirms the image is built for Architecture: arm64 and Variant: v8, aligning with Raspberry Pi 4 and similar hardware. The error occurring specifically on this architecture is a significant clue.
  • Module Involvement: The presence of redisbloom.so and redisearch.so in the stack trace is a direct lead. These modules extend Redis functionality, and it’s plausible that a recent update to these modules, or a change in how they are compiled for ARM64, has introduced an incompatibility.

Potential Causes of the ARM64 Docker Redis Crash

Several factors could contribute to this type of crash, especially when dealing with containerized applications on specific hardware architectures:

  1. Module Incompatibility: The most likely culprit is an issue with the redisearch or redisbloom modules themselves. A recent update to these modules, or their integration into the Redis image, might contain a bug specific to the ARM64 architecture or its instruction set. This could be due to:

    • Compilation Errors: The modules might have been compiled with flags or toolchains that are not fully optimized or compatible with the ARM64 variant used on the Raspberry Pi.
    • Dependency Issues: Underlying libraries or system components on the ARM64 host or within the Docker image might not be compatible with the updated modules.
    • Architectural Differences: Subtle differences in how ARM64 handles certain operations compared to x86_64 could lead to runtime errors if not accounted for during module development and compilation.

  2. Base Image Changes: While less likely if the core Redis functionality isn’t the issue, changes in the base Alpine Linux image used in redis:alpine could introduce subtle incompatibilities with how Redis or its modules expect the environment to be configured.

  3. Docker Environment Quirks: Although Docker aims for consistency, specific configurations or versions on the ARM64 host (like kernel versions, C library versions, or Docker daemon versions) might interact unexpectedly with the containerized Redis instance and its modules.

  4. Resource Constraints (Less Likely): While Raspberry Pis have limited resources, a direct crash like this is usually indicative of a code execution error rather than a simple out-of-memory situation, especially if the crash occurs immediately on startup. However, insufficient memory could exacerbate underlying issues.

Troubleshooting and Resolution Strategies

Based on the symptoms and potential causes, here are several strategies to address the ARM64 Docker Redis crash:

1. Utilize the Working Alternative: redis/redis-stack-server

As observed in the provided information, the redis/redis-stack-server image works flawlessly. This is a significant clue. The redis-stack-server image bundles Redis with a suite of powerful modules (including Redis Stack’s search, JSON, and time-series capabilities) and is likely maintained with more rigorous testing across various architectures. This suggests that the issue is specific to the standalone redis:alpine image and its included modules, rather than a fundamental ARM64 compatibility problem with Redis itself.

Solution: The most straightforward and recommended solution is to switch to the redis/redis-stack-server image. This provides a stable, supported, and feature-rich alternative.

Example Docker Compose Snippet (as provided):

services:
  redis:
    image: redis/redis-stack-server
    container_name: redis
    networks:
      - restricted
    command: redis-server --save "" --appendonly no --requirepass XXXXXXXXXXXXXXX
    restart: unless-stopped

2. Pin to a Previous Working Tag (Temporary Workaround)

If switching to redis-stack-server is not immediately feasible, or if you need to understand the regression in redis:alpine, you can try to identify and use a previous version of the redis:alpine image that was functional.

Steps:

  1. Check Docker Hub History: Go to the official Redis Docker Hub page (https://hub.docker.com/_/redis). Look for the