Learn how offloading long-running operations to background workers can dramatically improve your application's responsiveness and user experience.
Failures happen. Discover how to build a robust system with automatic retries and dead-letter queues to ensure every background job is reliably processed.
Explore the real-world costs of building and maintaining your own job queue system versus using a managed service like worker.do, from infrastructure to developer hours.
A step-by-step tutorial on how to integrate worker.do into your existing Node.js or TypeScript application to start processing background jobs in minutes.
See how to use asynchronous workers to build scalable and efficient data processing pipelines for tasks like report generation, ETL jobs, and data synchronization.
Learn how to schedule recurring jobs and tasks for future execution using simple cron expressions, perfect for nightly reports, data cleanup, and automated workflows.
A deep dive into five powerful patterns for background job processing, including webhook handling, image resizing, and sending notifications, to build more powerful applications.
Stop overprovisioning servers. See how worker.do's auto-scaling infrastructure handles traffic spikes effortlessly, ensuring jobs are processed quickly while saving you money.
Discover how using a background task queue can help you decouple your microservices, leading to more resilient, scalable, and maintainable systems.
A guide on how to process large volumes of user analytics and A/B testing event data asynchronously without impacting your application's core performance.