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Integrations

Beyond the Request-Response Cycle: A Guide to Asynchronous Tasks

Learn why synchronous processing bottlenecks your application and how moving to an asynchronous model with background workers can dramatically improve performance and user experience.

Workflows
3 min read

How to Scale Your Application Effortlessly with Job Queues

Discover the power of job queues in managing application load. We’ll explore how worker.do simplifies scaling your background processes without needing to manage infrastructure.

Workflows
3 min read

5 Critical Background Jobs Your Application Needs (And How to Build Them)

From sending welcome emails to processing large datasets, explore five essential use cases for background workers that can be easily implemented using worker.do's simple API.

Services
3 min read

Don't Drop the Ball: Implementing Robust Failure Handling for Background Tasks

Failures are inevitable. Learn best practices for building resilient systems with automatic retries and exponential backoff for your background jobs using worker.do.

Workflows
3 min read

worker.do vs. Self-Hosted Queues: Why a Managed Platform Wins

Tired of managing Redis, brokers, and worker fleets? See how worker.do's agentic platform provides a simpler, more scalable alternative to traditional self-hosted job queues like Celery or BullMQ.

Business
3 min read

Introducing Agentic Workflows: The Next Evolution of Background Processing

Go beyond simple job queues. Understand what an agentic workflow is and how it enables more complex, intelligent, and autonomous background processing for your applications.

Agents
3 min read

From Cron to Cloud: Modernizing Your Scheduled Tasks with an API

Cron jobs have served us well, but there's a better way. Learn how to transform your scheduled tasks into flexible, observable, and scalable API-driven services with worker.do.

Integrations
3 min read

Keep Your UI Snappy: Offloading AI Model Inference to Background Workers

Running AI/ML models can freeze your user interface. Discover how to offload heavy inference tasks to scalable background workers for a seamless and responsive user experience.

Data
3 min read

Architecting for Scale: How to Process Millions of Asynchronous Tasks a Day

A look under the hood. We break down the architectural patterns and best practices for building a system capable of handling millions of background jobs per day using a managed service.

Workflows
3 min read

Your Backend Logic, Now an API: The Rise of Services-as-Software

Stop thinking in terms of servers and processes. Learn how the Services-as-Software model lets you package complex backend logic, like video processing, into a simple, consumable API.

Services
3 min read