Background workers are often the unsung heroes of keeping systems shipshape. Whether chewing through
queues or listening out for and reacting to specific events, background workers need to be
resilient. They need a certain autonomy and gracefulness when handling failure.
I build robust background processing systems that handle time-critical operations, data
synchronisation, and automated workflows. From simple scheduled tasks to complex
distributed job processing systems, I've implemented solutions using various
.NET technologies including Hosted Services, Azure Functions,
Service Bus, and traditional Windows Services. I include an element of smarts
in the workers, retry with exponential backoff, always assuming a required service could fall
offline, idempotency and health check dashboards.
My experience spans queue-based processing systems, event-driven
architectures, batch processing workflows, and real-time data
synchronisation. I focus on building resilient systems that handle failure well, provide
comprehensive observability, and scale effectively with business growth.