Every developer knows the story. It starts with "just a simple script" to handle a background task. Soon, that script multiplies. You have a tangled web of cron jobs, fragile shell scripts, and makeshift Python workers. They're hard to monitor, impossible to scale, and a nightmare to maintain. What happens when a data source changes? What if you need to process 10,000 jobs instead of 10? The answer is usually late nights and technical debt.
But what if you could outsource the entire headache of execution, scaling, and state management? What if you could transform your most complex data pipelines and business workflows into simple, scalable API calls?
Welcome to the new paradigm of workflow automation. With processing.services.do, you can stop scripting and start orchestrating.
The "move fast and break things" approach often leads to a backend held together by scripts. While functional at first, this system quickly accumulates hidden costs:
This operational overhead steals focus from what truly matters: building core business logic and delivering value.
processing.services.do introduces a fundamental shift. Instead of you managing the how of execution, you simply define the what and trigger it with an API. Our agentic platform handles the rest.
Think of it as Intelligent Processing as a Service. You provide your business logic, and we provide the infrastructure, scalability, and orchestration to run it reliably, every single time.
The magic lies in abstracting away the infrastructure. The process is elegant and developer-friendly.
Instead of a loose script on a server, you package your business logic into a containerized "agent." This could be anything—a Python data science model, a Node.js service connector, or a Go-based video renderer. processing.services.do acts as the orchestrator, invoking your agent with a given payload. This agentic workflow approach ensures your code runs in a consistent, portable, and isolated environment.
Once your agent is defined, running a job is as simple as making an API request. There's no need to provision servers, configure queues, or set up autoscaling groups.
Here’s how you can launch a complex user data enrichment workflow with just a few lines of TypeScript:
import { Do } from '@do-sdk/core';
const processing = new Do('processing.services.do', {
apiKey: 'your-api-key',
});
// Define and run a data enrichment workflow
const job = await processing.run({
workflow: 'enrich-user-profile',
payload: {
userId: 'usr_12345',
sources: ['clearbit', 'linkedin', 'internal_db'],
},
config: {
priority: 'high',
onComplete: 'https://myservice.com/webhook/job-done',
}
});
console.log(`Job started with ID: ${job.id}`);
In this example, we’re kicking off a high-priority job to enrich a user profile. The platform will manage the entire lifecycle and send a notification to our webhook when the job is complete. This is the power of turning complex operations into a single, clean API call.
Because you can run virtually any custom logic, the possibilities are endless. Common use cases for our API services include:
If you can code it, we can process it—at any scale.
processing.services.do is more than just a job runner; it's a comprehensive platform engineered for modern development needs.
The era of brittle, hard-to-maintain backend scripts is over. By embracing an API-driven, agentic approach to workflow automation, you can free your team from operational drudgery and empower them to focus on innovation.
Ready to transform your complex workflows into simple API calls? Visit processing.services.do to learn more and get your API key today.