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Why synchronous Puppeteer can take down a Rails container
A Rails web request and a browser automation task have different lifetimes. Navigation, JavaScript execution, and rendering may take long enough to tie up a request process; Chromium also starts child processes and consumes resources alongside Rails. If several captures run concurrently, their combined resource demand can exceed the container’s limits. Docker documents that the kernel kills processes in a container by default when an out-of-memory (OOM) error occurs. Docker’s memory constraints documentation explains this behavior.
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Rails recommends moving long-running or non-critical work out of the HTTP request-response cycle and into a background queue. The Active Job guide documents the framework’s job interface and queue options. A queue is not itself a running worker: the deployed backend must be configured, and a worker must be started and monitored.
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Use a controller, queue, and worker
Keep the controller request short
Validate and authorize the request, enqueue a job with serializable arguments such as a record ID, and respond with an accepted status and an identifier your application can use to expose progress or results. Do not pass a live browser, page, or other process object through the queue.
class BrowserTaskJob < ApplicationJob
queue_as :browser
def perform(record_id)
record = Record.find(record_id)
# Invoke the browser integration here and persist the result.
# Ensure browser resources are closed on both success and failure.
end
end
class BrowserTasksController < ApplicationController
def create
# Apply the application's authorization and input validation here.
job = BrowserTaskJob.perform_later(params.require(:record_id))
render json: { job_id: job.job_id }, status: :accepted
end
endThis is an architecture sketch, not tested drop-in code for a particular application. Add the authorization, validation, browser wrapper, persistence, and result/status endpoint your application requires.
Configure and run the actual queue backend
Check config.active_job.queue_adapter and the Rails version before copying worker commands. The Active Job guide describes Solid Queue as the default starting with Rails 8.0, while also documenting alternatives such as Sidekiq and GoodJob. Solid Queue’s worker process can be started with bin/jobs start when the application is configured to use it. Adapter-specific services and configuration may be necessary for other backends.
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The in-process async adapter is not the same as a durable independent worker: its jobs are held in memory, and outstanding work can be lost if the process crashes or the machine resets. For work whose completion matters, verify that the chosen backend and worker deployment match the reliability you need.
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Close browser resources and reap child processes
Scope browser lifecycle to the job. Close pages and the browser in cleanup paths that run on both success and failure, and make sure the job does not leave Chromium processes behind. Puppeteer’s Docker guide recommends using an init process to manage child processes; Docker’s --init option is one documented way to provide one.
Choose a browser image and safe concurrency
Use an image that satisfies Chromium’s requirements
Puppeteer’s official Docker image includes Chrome for Testing and its dependencies. Its documented setup runs in sandbox mode and requires the SYS_ADMIN capability for that image. If you build a custom image instead, ensure it has the browser’s required Linux libraries, a compatible browser installation, the intended sandbox configuration, and writable locations for Chrome’s profile and cache. See the Puppeteer Docker guide and Puppeteer troubleshooting guide rather than assuming that installing the Puppeteer package alone installs everything a container needs.
Start with low concurrency and measure
Rails web processes and Chromium processes share the deployment’s resource budget unless you isolate them. Begin with conservative browser-job concurrency, then tune worker threads or process counts using the workload’s observed memory and CPU use. Solid Queue supports worker thread and process settings as well as per-job concurrency controls; appropriate values depend on your workload and resource limit, not a universal rule.
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If browser work competes with web requests or repeatedly exhausts the same limit, consider a separate worker service or container with its own resource allocation. That adds deployment and queue operations but can isolate browser failures and let you size web and browser capacity independently. Keep browser work in the web container only when you can cap its concurrency and its resource use fits the measured budget.
Find out whether the cause is OOM, launch failure, or shared memory
- Check the container’s termination reason and logs. Look for OOM or termination evidence from the host or platform, inspect the configured memory limit, and review application and Chromium logs. A container exit alone does not prove that memory pressure was the cause.
- Compare usage with limits. Use
docker statswhile reproducing the workload and compare memory and CPU use against the container’s configured constraints. Docker notes that its Linux CLI memory display subtracts cache usage, so interpret the reported figure accordingly. See Docker container stats and Docker resource constraints. - Check Chromium’s actual launch error. Missing shared libraries, browser/image incompatibility, sandbox settings, user permissions, or unwritable profile and cache paths can prevent launch without an OOM kill. Match the error to the Puppeteer troubleshooting guide instead of changing memory settings by guesswork.
- Check
/dev/shmif the logs point to shared-memory trouble. Puppeteer documents Docker’s default shared-memory allocation as 64 MB and gives--disable-dev-shm-usageas a workaround that redirects these files to/tmp. Use it only when diagnosing this class of issue, and ensure/tmpis writable. It does not raise the container’s total memory limit or fix an OOM budget problem. See Puppeteer troubleshooting. - Check process cleanup. If Chromium children linger, configure an init process such as Docker’s
--init, as described in the Puppeteer Docker guide. This is process management, not a substitute for adequate memory. - Account for platform-specific CPU behavior. Puppeteer’s troubleshooting guide discusses Google Cloud Run as an example where CPU allocation can change after a response. Treat that as a platform-specific behavior, not a general property of Docker hosts.
Only reduce concurrency, adjust a resource limit, or isolate the worker after evidence points to resource pressure. A shared-memory workaround and an init process address different failure modes.
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Or skip the browser setup
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For a Rails job or another server-side caller, make the request from the worker and store the returned image or PDF where your application expects it. Keep the key in server-side configuration; do not expose it in browser code. See the ScreenshotNeo API documentation for request options and response handling.
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| Symptom | Likely area to inspect | Next step |
|---|---|---|
| Container exits while browser jobs run | Container termination reason, memory limit, and concurrent Rails plus Chromium usage | Check OOM evidence and docker stats; reduce simultaneous browser work or adjust resources based on measurements. |
Error: spawn ENOMEM |
Process or memory pressure; the error alone does not identify the root cause | Check container limits, observed usage, and worker concurrency before changing launch flags. |
| Chrome fails to launch | Missing libraries, incompatible browser/image, sandbox configuration, permissions, or unwritable paths | Compare the full error with Puppeteer’s troubleshooting guide and verify the image setup. |
| Chromium crashes around shared-memory use | /dev/shm capacity or related shared-memory behavior |
Check the runtime configuration; if appropriate, try --disable-dev-shm-usage with writable /tmp. This does not increase total memory. |
| Jobs queue but never complete | Queue adapter configuration or a missing/stopped worker | Verify the adapter and start the matching worker process; enqueueing alone does not execute the job. |
| Browser processes linger after jobs | Missing cleanup or child-process reaping | Close pages and browsers on errors as well as success, and use an init process. |
| Work slows after the HTTP response | Runtime-specific CPU allocation behavior | Check your hosting platform’s behavior; Puppeteer’s Cloud Run example should not be generalized to every host. |
Frequently Asked Questions
Does moving Puppeteer to Active Job guarantee that it will run?
No. The configured queue backend must have a live worker, and the reliability characteristics depend on that backend.
Is --disable-dev-shm-usage a fix for Docker OOM kills?
No. It redirects shared-memory files to /tmp; it does not add memory to the container.
Can I return a Puppeteer page or browser from the controller response?
No. Return a serializable job identifier or application result, not a live browser process object.
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