JobRunr Finance Demo 🏦
Learn JobRunr Pro by building the backend for a neobank
Start the Interactive Guide
Learn JobRunr Pro by building the backend for a neobank
Start the Interactive Guide
Welcome to JobRunr Finance — a neobank where background jobs power everything
from customer onboarding to international payments.
Through 21 hands-on steps, you'll implement real patterns you'd find in production:
processing applications, scheduling reminders, generating statements, and scaling globally.
Each step introduces a JobRunr Pro feature with working code you can explore.
No toy examples — just real patterns.
How do we acknowledge the customer immediately while processing their application reliably in the background?
How do we schedule a future job that can be cancelled if circumstances change?
Standard cron expressions can't handle business day logic. How do we schedule jobs for complex calendar-based scenarios?
How do we monitor thousands of background jobs without writing custom tooling?
How do we handle transient failures without losing jobs or requiring manual intervention?
How do we make jobs safe to retry without duplicating irreversible operations like payments?
How do we coordinate thousands of jobs and trigger a follow-up action only when they ALL succeed?
How do we trigger error handling workflows when a job fails permanently?
With thousands of jobs, how do we find a specific customer's job instantly?
How do we ensure critical jobs jump the queue and get processed immediately?
How do we process more payments for premium cardholders while still being fair to everyone?
How do we ensure only one job can use a shared resource at a time?
How do we prevent jobs from running forever when external dependencies hang?
How do we ensure external payments only run on servers with the right credentials?
How do we throttle requests to stay within each provider's limits?
How do we track and display progress for long-running jobs?
How do we return results from background jobs to API clients?
How do we expose job metrics for monitoring and alerting systems?
How do we identify which step or resource is slowing down our jobs?
How do we update or replace a job that's already enqueued or even processing?
How do we react to job state changes without modifying the jobs themselves?