𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 𝗝𝗼𝗯 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴

𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 𝗝𝗼𝗯 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴

Keep your API fast. Move heavy tasks to the background. Use this for emails, uploads, or reports.

Pick your queue based on your needs.

• Redis queues like Sidekiq or Bull work for most apps.
• Use RabbitMQ or Amazon SQS for guaranteed delivery.

Make jobs idempotent. A job might fail halfway. It must handle repeated runs. Wrap updates in database transactions.

Set retry policies.

• Use exponential backoff for network timeouts.
• Send permanent failures to a dead letter queue.
• Alert your team.

Watch your queue depth. Watch job latency. Alert your team when queues grow. A hidden queue means data loss. Build dashboards for size and failure rates.

Stop duplicate jobs. Use a unique key. Check for existing jobs before you add new ones.

Use separate queues for priority.

• Process password resets first.
• Process reports last.
• This stops slow jobs from blocking urgent tasks.

Source: https://dev.to/therizwansaleem/background-job-processing-queues-workers-and-scheduling-patterns-5ag7