background-jobs

Retries can become infinite noise. For certain failure classes, record the payload + error in a DLQ table and alert/triage. This keeps queues healthy and makes failures actionable.

ActiveJob provides a unified interface across different queue backends (Sidekiq, Resque, Delayed Job), making it easier to switch adapters or test jobs. I define jobs by inheriting from ApplicationJob and implementing perform. ActiveJob handles serial

Moving slow operations to background jobs keeps API response times fast and improves perceived performance. Sidekiq with Redis provides a robust, production-proven job queue that handles millions of jobs per day. I organize workers into separate queue

For transactional email, the reliability problem is usually latency and retries, not MIME formatting. I prefer an HTTP email provider because requests are easy to bound with context.WithTimeout and easier to observe than raw SMTP. The code below build

Heavy work inside a transaction increases lock time and deadlock risk. Use after_save_commit to schedule slow tasks (thumb generation, external sync) once the write is durable.

Background jobs will fail in production, so I like having a predictable story for retries and poison messages. BullMQ is a solid middle ground: Redis-backed, straightforward, and good enough for most apps. I set explicit attempts and backoff, and when

A lot of Rails apps have records that transition through states: queued, processing, done. With Hotwire, I render a status badge partial and broadcast replacements when the state changes. A background job updates the record, and the model broadcasts a

Email is still a core product channel, and it’s easy to ship broken messages if you don’t treat it like code. I keep templates in source control, render them with a simple templating engine, and send via nodemailer (or a provider SDK). I always includ

Scheduled jobs get risky when deploys overlap or when jobs take longer than their interval. I use robfig/cron with a wrapper that creates a per-run context.WithTimeout, adds a bit of jitter to avoid synchronized load across instances, and logs start/f

Long-running jobs are where Hotwire can feel magical: start an export, then watch progress update live. I give each job a “progress” model, render it in a turbo_frame_tag, and broadcast replacements as the job advances. The job updates percent and sta

Retries are great, but duplicates are inevitable—workers crash, Redis reconnects, deploys happen. I prefer building idempotency into the job key itself. BullMQ supports a jobId that acts like a de-dupe key: if a job with the same id already exists, en

Sidekiq processes background jobs asynchronously using Redis and multi-threading. ActiveJob provides framework-agnostic interface—I use it for portability between job processors. Jobs handle emails, data processing, API calls, report generation. perfo