Investigating 100% CPU on n8n Docker Container (v1.99.1)

Questions
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1

Hello n8n community,

I’m currently facing an issue.

I’m building and using n8n, started with Docker. n8n Version: 1.99.1 Server: 8 cores CPUs, 16 GB RAM

My workflow is very light. In my Docker Compose file, I’ve set cpus: '4.0', but I’m seeing 100% CPU usage for the Docker container (checked via docker stats), and one of my server’s CPU cores is also at 100%.

How can I avoid this situation?

Any help would be greatly appreciated.

Thank you!

2

Hey @tuanqn123qn ,

Would you mind sharing your docker-compose and embedding your Workflow please

Jm

3

Thank you for taking the time to read my topic.

  • Below is the content of my docker-compose.yml file used to deploy n8n:
n8n:
    image: docker.n8n.io/n8nio/n8n
    restart: always
    ports:
      - "127.0.0.1:5678:5678"
    cpus: '4.0'
    labels:
      - traefik.enable=true
      - traefik.http.routers.n8n.rule=Host(<MyHost>)
      - traefik.http.routers.n8n.tls=true
      - traefik.http.routers.n8n.entrypoints=web,websecure
      - traefik.http.routers.n8n.tls.certresolver=mytlschallenge
      - traefik.http.middlewares.n8n.headers.SSLRedirect=true
      - traefik.http.middlewares.n8n.headers.STSSeconds=315360000
      - traefik.http.middlewares.n8n.headers.browserXSSFilter=true
      - traefik.http.middlewares.n8n.headers.contentTypeNosniff=true
      - traefik.http.middlewares.n8n.headers.forceSTSHeader=true
      - traefik.http.middlewares.n8n.headers.SSLHost=<myhost>
      - traefik.http.middlewares.n8n.headers.STSIncludeSubdomains=true
      - traefik.http.middlewares.n8n.headers.STSPreload=true
      - traefik.http.routers.n8n.middlewares=n8n@docker
    environment:
      - N8N_PORT=5678
      - N8N_SECURE_COOKIE=false
      - NODE_ENV=production
      - WEBHOOK_URL=<MyHost>
      - GENERIC_TIMEZONE=<>
      - EXECUTIONS_DATA_SAVE_ON_ERROR=all
      - EXECUTIONS_DATA_SAVE_ON_SUCCESS=none
      - EXECUTIONS_DATA_SAVE_ON_PROGRESS=true
      - EXECUTIONS_DATA_SAVE_MANUAL_EXECUTIONS=false
      - EXECUTIONS_DATA_PRUNE=true
      - EXECUTIONS_DATA_MAX_AGE=168
      - EXECUTIONS_DATA_PRUNE_MAX_COUNT=50000
      - QUEUE_MODE=redis
      - QUEUE_REDIS_HOST=redis
      - QUEUE_REDIS_PORT=6379

      - N8N_ENFORCE_SETTINGS_FILE_PERMISSIONS=true
      - N8N_PROXY_HOPS=1
      - N8N_RUNNERS_ENABLED=true
      - N8N_RUNNER_THREADS=6
      - QUEUE_WORKERS=6
      - QUEUE_BULL_REDIS_MAX_RETRIES=2
      - QUEUE_HEALTH_CHECK_ACTIVE=true
    volumes:
      - n8n_data:/home/node/.n8n
      - /root/n8n-docker/local-files:/files
    depends_on:
      - redis
    redis:
      image: redis:7
      restart: always
      volumes:
        - redis_data:/data
      command: redis-server --appendonly yes
volumes:
  traefik_data:
    driver: local
  n8n_data:
    driver: local
  redis_data:
    driver: local

If you have any suggestions or improvements, I’d really appreciate your feedback. Thank you once again!

4

Hey @tuanqn123qn ,

Thanks for posting i believe that yhe high CPU usage is likely caused by the combination of frequent execution (every minute) and multiple resource-intensive operations (3 Gemini API calls + Google Sheets operations)
I’m not sure what can you try can you set it like every 10min once and see if there’s any spike ?

Another thing you can try is give your docker-compose.yml to chatgpt it will refine it for you

Let me know what helps as there are many things to check

5

Thank mrrobot

• My schedule is set to run every 30 minutes.
• The Google Sheet node only fetches one record at a time.
• Sometimes, even when no workflows are running, the container still consumes 100% CPU.