MinimalWorker is a lightweight .NET library that simplifies background worker registration in ASP.NET Core and .NET applications using the IHost interface. It offers three simple extension methods to map background tasks that run continuously or periodically, with support for dependency injection and cancellation tokens.
- π Register background workers with a single method call
- β± Support for periodic background tasks
- π Built-in support for
CancellationToken - π§ͺ Works seamlessly with dependency injection (
IServiceProvider) - π§Ό Minimal and clean API
- π Built-in telemetry with automatic metrics and distributed tracing
- ποΈ AOT Compilation Support
Install from NuGet:
dotnet add package MinimalWorkerOr via the NuGet Package Manager:
Install-Package MinimalWorkerapp.RunBackgroundWorker(async (MyService service, CancellationToken token) =>
{
while (!token.IsCancellationRequested)
{
await service.DoWorkAsync();
await Task.Delay(1000, token);
}
});app.RunPeriodicBackgroundWorker(TimeSpan.FromMinutes(5), async (MyService service, CancellationToken token) =>
{
await service.CleanupAsync();
});app.RunCronBackgroundWorker("0 0 * * *", async (CancellationToken ct, MyService service) =>
{
await service.SendDailyProgressReport();
});All worker methods return an IWorkerBuilder for fluent configuration of names and error handlers:
// Named continuous worker with error handling
app.RunBackgroundWorker(async (OrderService service, CancellationToken token) =>
{
await service.ProcessOrders();
})
.WithName("order-processor")
.WithErrorHandler(ex => Console.WriteLine($"Order processing failed: {ex.Message}"));
// Named periodic worker
app.RunPeriodicBackgroundWorker(TimeSpan.FromMinutes(30), async (CacheService cache) =>
{
await cache.Cleanup();
})
.WithName("cache-cleanup");
// Named cron worker with error handling
app.RunCronBackgroundWorker("0 2 * * *", async (ReportService reports) =>
{
await reports.GenerateDailyReport();
})
.WithName("nightly-report")
.WithErrorHandler(ex => logger.LogError(ex, "Nightly report failed"));Worker names appear in:
- Logs:
Worker 'order-processor' started (Type: continuous, Id: 1) - Metrics:
worker.name="order-processor"tag - Traces:
worker.nameattribute on spans
If no name is provided, a default name is generated (e.g., worker-1).
All methods automatically resolve services from the DI container and inject the CancellationToken if it's a parameter.
Workers are automatically initialized and started when the application starts - no additional calls needed!
You can handle errors as part of your Run Worker, with eg. try / catch or you can use the .WithErrorHandler() builder method for handling exceptions:
app.RunBackgroundWorker(async (MyService service, CancellationToken token) =>
{
await service.DoRiskyWork();
})
.WithErrorHandler(ex =>
{
// Custom error handling - log, alert, etc.
Console.WriteLine($"Worker error: {ex.Message}");
// Worker continues running after error
});Important:
- If
.WithErrorHandler()is not provided, exceptions are rethrown and will stop all the workers - If
.WithErrorHandler()is provided, the exception is passed to your handler and the worker continues OperationCanceledExceptionis always handled gracefully during shutdown
The .WithErrorHandler() callback currently does not support dependency injection directly. As a workaround, you can capture services from the service provider:
// Capture logger at startup
var logger = app.Services.GetRequiredService<ILogger<Program>>();
app.RunBackgroundWorker(async (CancellationToken token) =>
{
await DoWork();
})
.WithErrorHandler(ex =>
{
logger.LogError(ex, "Worker failed");
// Use the captured logger
});Note: This captures singleton services. For scoped services, this approach has limitations. Native DI support for error handlers is being considered for a future release.
MinimalWorker validates that all required dependencies for your workers are registered during application startup. If any dependencies are missing, the application will fail immediately with a clear error message:
builder.Services.AddSingleton<IMyService, MyService>();
// Forgot to register IOtherService!
app.RunBackgroundWorker((IMyService myService, IOtherService otherService) =>
{
// This worker will never run
});
await app.RunAsync();
// Application terminates immediately:
// FATAL: Worker dependency validation failed:
// No service for type 'IOtherService' has been registered.Behavior:
- β Fail-fast - Application exits immediately during startup (not on first execution)
- β Clear error messages - Shows exactly which dependency is missing
- β Exit code 1 - Proper error code for container orchestrators and CI/CD
- β Production-safe - Prevents workers from running with missing dependencies
This ensures you catch configuration errors early, before deploying to production. The validation happens after all services are registered but before workers start executing, using the same dependency resolution mechanism as the workers themselves.
MinimalWorker supports .NET's TimeProvider abstraction, enabling instant unit testing of periodic and CRON workers without waiting for real timers!
By default, MinimalWorker uses TimeProvider.System (the real system clock). For testing, simply register a FakeTimeProvider from Microsoft.Extensions.TimeProvider.Testing:
dotnet add package Microsoft.Extensions.TimeProvider.TestingFor reliable tests, especially on CI machines, advance time in small steps with delays between each step. This gives timers and async continuations time to fire at each intermediate point:
using Microsoft.Extensions.Time.Testing;
/// <summary>
/// Helper for advancing time reliably in tests.
/// </summary>
public static class WorkerTestHelper
{
public static FakeTimeProvider CreateTimeProvider()
{
// Start at a known time for predictable assertions
return new FakeTimeProvider(new DateTimeOffset(2025, 1, 1, 0, 0, 0, TimeSpan.Zero));
}
public static async Task AdvanceTimeAsync(FakeTimeProvider timeProvider, TimeSpan amount, int steps = 10)
{
var stepSize = TimeSpan.FromTicks(amount.Ticks / steps);
for (int i = 0; i < steps; i++)
{
timeProvider.Advance(stepSize);
await Task.Yield(); // Allow async continuations to be scheduled
await Task.Delay(5); // Give time for async work to complete
}
}
}[Fact]
public async Task PeriodicWorker_Should_Execute_Multiple_Times()
{
// Arrange
var executionCount = 0;
var timeProvider = WorkerTestHelper.CreateTimeProvider();
using var host = Host.CreateDefaultBuilder()
.ConfigureServices(services =>
{
// Register FakeTimeProvider - this is the only change needed!
services.AddSingleton<TimeProvider>(timeProvider);
})
.Build();
host.RunPeriodicBackgroundWorker(TimeSpan.FromMinutes(5), (CancellationToken token) =>
{
executionCount++;
return Task.CompletedTask;
});
// Act
await host.StartAsync();
// Advance 30 minutes - PeriodicTimer fires AFTER each interval
// Ticks at: 5, 10, 15, 20, 25 min = 5 executions within 30-minute window
await WorkerTestHelper.AdvanceTimeAsync(timeProvider, TimeSpan.FromMinutes(30));
await host.StopAsync();
// Assert
Assert.Equal(5, executionCount);
}[Fact]
public async Task CronWorker_Should_Execute_At_Scheduled_Times()
{
// Arrange
var executionCount = 0;
var timeProvider = WorkerTestHelper.CreateTimeProvider();
using var host = Host.CreateDefaultBuilder()
.ConfigureServices(services =>
{
services.AddSingleton<TimeProvider>(timeProvider);
})
.Build();
// Every hour at minute 0
host.RunCronBackgroundWorker("0 * * * *", (CancellationToken token) =>
{
executionCount++;
return Task.CompletedTask;
});
// Act
await host.StartAsync();
// Advance 3+ hours - triggers at 01:00, 02:00, 03:00
await WorkerTestHelper.AdvanceTimeAsync(timeProvider, TimeSpan.FromHours(3).Add(TimeSpan.FromMinutes(1)));
await host.StopAsync();
// Assert
Assert.Equal(3, executionCount);
}| Without TimeProvider | With TimeProvider |
|---|---|
| Test takes 5+ minutes for a 5-min interval | Test completes instantly |
| CRON tests impossible (1+ min minimum) | CRON tests work instantly |
| Flaky timing-dependent tests | Deterministic, exact counts |
| Limited CI/CD testing | Full coverage possible |
- Production code requires no changes -
TimeProvider.Systemis used automatically when no custom provider is registered - Only register
FakeTimeProviderin tests - Production DI containers don't need any TimeProvider registration - Advance time in steps - Use
AdvanceTimeAsync()with multiple steps rather than a singleAdvance()call for reliability - Understand PeriodicTimer behavior -
PeriodicTimerfires AFTER each interval, so a 5-minute interval over 30 minutes gives 5 executions (at 5, 10, 15, 20, 25 min), not 6 - Start from a known time -
new FakeTimeProvider(new DateTimeOffset(...))makes assertions predictable - Use
Task.Yield()+ small delay - Between time advances,await Task.Yield(); await Task.Delay(5);ensures async continuations complete, especially on slower CI machines
RunBackgroundWorkerruns a background task once the application starts, and continues until shutdown.RunPeriodicBackgroundWorkerruns your task repeatedly at a fixed interval using PeriodicTimer.RunCronBackgroundWorkerruns your task repeatedly based on a CRON expression (UTC time), using NCrontab for timing.- Workers are initialized using source generators for AOT compatibility - no reflection at runtime!
- Workers automatically start when the application starts via
lifetime.ApplicationStarted.Register() - Services and parameters are resolved per execution using
CreateScope()to support scoped dependencies.
MinimalWorker provides production-grade observability out of the box with zero configuration required. All workers automatically emit metrics and distributed traces using native .NET APIs (System.Diagnostics.Activity and System.Diagnostics.Metrics).
Every worker execution is automatically instrumented with:
β
Distributed Tracing - Activity spans for each execution
β
Metrics - Execution count, error count, and duration histograms
β
Tags/Dimensions - Worker ID, type, iteration count, cron expression
β
Exception Recording - Full exception details in traces
β
Zero Breaking Changes - Works with or without OpenTelemetry configured
π For detailed metrics documentation see METRICS.md
- See OpenTelemetry quick start guide OTLP (OpenTelemetry Protocol) and Azure Application Insights
- See MinimalWorker.OpenTelemetry.Sample for a complete example
- Read the OpenTelemetry .NET documentation
- Explore Activity API docs
- Explore Metrics API docs
I have included a example dashboard for Grafana in samples/MinimalWorker.OpenTelemetry.Sample project. Below is screenshot of the dashboard.
If you feel like there is missing some telemetry of any kind. Feel free to submit an issue or contact me.
MinimalWorker is fully compatible with .NET Native AOT compilation! The library uses source generators instead of reflection, making it perfect for AOT scenarios.
To publish your application as a native AOT binary:
dotnet publish -c ReleaseMake sure your project file includes:
<PropertyGroup>
<PublishAot>true</PublishAot>
</PropertyGroup>This will produce a self-contained native executable with:
- No .NET runtime dependency - runs on machines without .NET installed
- Fast startup - native code execution from the start
- Small binary size - approximately 4-5MB for a minimal application
- AOT-safe - all worker registration happens via source generators, no reflection
See the MinimalWorker.Aot.Sample project for a complete example.
Below is a screenshot of MinimalWorker.OpenTelemetry.Sample compiled with AOT to a 14 MB binary and running, versus compiling it as a normal standalone build where the size is approximately 80 MB.
MinimalWorker includes an LLM Reference Guide - a structured document optimized for AI coding assistants like GitHub Copilot, Claude, Cursor, and others.
The README.llm file contains:
- Complete API signatures and constraints
- Common patterns and anti-patterns
- Testing setup with
FakeTimeProvider - Scoping behavior differences between worker types
- Error handling patterns
When using an AI coding assistant, try prompts like:
Read the https://raw.githubusercontent.com/TopSwagCode/MinimalWorker/refs/heads/master/README.llm, then help me create a
periodic background worker that sends email notifications every 5 minutes.
Using the MinimalWorker library documented in https://raw.githubusercontent.com/TopSwagCode/MinimalWorker/refs/heads/master/README.llm, create a
cron worker that generates daily reports at midnight UTC with proper
error handling.
Based on https://raw.githubusercontent.com/TopSwagCode/MinimalWorker/refs/heads/master/README.llm, write unit tests for my periodic worker using
FakeTimeProvider. The worker runs every 30 seconds.
- Reference the file explicitly - Tell the AI to read
README.llmfirst - Be specific about worker type - Continuous, periodic, or cron
- Mention testing needs - The guide includes complete testing patterns
- Ask about anti-patterns - The guide lists common mistakes to avoid
Thank you for reading this far :) Hope you find it usefull. Feel free to open issues, give feedback or just say hi :D



