Solid Queue — the default
Production uses Solid Queue — the built-in background job processor: jobs are stored in your database alongside everything else. There is nothing extra to provision, and by default the job supervisor runs inside the web container — one container is the whole application (combined mode). When job volume grows, switch to split mode: run a dedicated worker from the same image withbin/jobs, and set SOLID_QUEUE_IN_PUMA=false on the web service. Multiple web instances and multiple workers are safe by default — they coordinate through the database.
Job Dashboard
Every deployment ships Mission Control — a web UI for background jobs — at/jobs: inspect, retry, and discard jobs from the browser. It’s guarded by HTTP Basic auth: set MISSION_CONTROL_USER and MISSION_CONTROL_PASSWORD in production (without them the dashboard stays locked).
Recurring Jobs
Scheduled work — releasing expired stock reservations, pruning price history, queue housekeeping — is defined inconfig/recurring.yml, Solid Queue’s built-in cron. Add your own:
config/recurring.yml
Queues
config/queue.yml lists queues in polling order: checkout-critical and operator-facing work first, bulk catalog processing second, housekeeping last. A trailing "*" catches any queue added later. Large CSV imports are additionally capped so they can’t occupy the whole worker pool — see SPREE_IMPORT_JOB_CONCURRENCY.
Swapping to Sidekiq
For very high job volume, Spree works with Sidekiq on Redis or Valkey — like any Active Job backend. This is a bigger step than the cache swap; here is the full setup. Add the gems and switch the adapter:config/sidekiq.yml
config/recurring.yml schedules to sidekiq-cron (it auto-loads config/schedule.yml):
config/schedule.yml
/jobs dashboard is Solid Queue-specific — mount Sidekiq’s Web UI instead:
REDIS_URL, run bundle exec sidekiq as a dedicated worker service (set RAILS_MAX_THREADS to at least SIDEKIQ_CONCURRENCY there so the database pool covers every worker thread), and remove the SOLID_QUEUE_IN_PUMA setting — with Sidekiq, web and worker are always separate processes.
Reach for this when a dedicated Solid Queue worker with raised JOB_THREADS/JOB_CONCURRENCY no longer keeps up — for most stores, that point never arrives.
