Registering a service is only half the story — how long it lives is the other half.

In lesson 124 you learned to register services with lines like builder.Services.AddSingleton<IEmailSender, SmtpEmailSender>(). But there were three possible words there — AddSingleton, AddScoped, AddTransient — and they are not interchangeable. Pick the wrong one, and you can end up with a database connection shared across every user in your app, a configuration object that never picks up changes, or — the classic gotcha — a background service silently holding onto stale, disposed data forever.

In this lesson, you'll learn what each of the three service lifetimes actually means, when to reach for each one, and how to spot and avoid the "captive dependency" mistake that trips up almost every developer the first time they meet DI lifetimes.

What Is It?

The Simple Explanation

A service lifetime tells the DI container: "when someone asks for this service, should I hand them a brand new object every time, reuse the same object for a while, or reuse the exact same object forever?" It's a policy about instance reuse, decided once at registration time.

The Technical Definition

.NET's built-in container supports exactly three lifetimes:

Why Does It Exist?

The Problem — "New Object" Isn't Always Right

If the container always created a brand new instance for every dependency, you'd have serious problems:

• A database connection created fresh for every single class that needs one, even within the same request — wasteful and potentially unable to share a transaction.
• An in-memory cache that gets recreated on every resolution would be useless — it would never actually cache anything across calls.
• A per-request "current user" context object created once per app and shared across every user would leak one user's data into another's request — a serious bug and security issue.

The Solution — Let the Registration Declare Reuse Policy

By letting you choose Transient, Scoped, or Singleton per service, the container gives you precise control: expensive, stateless, thread-safe services can be shared broadly (Singleton); per-unit-of-work state (like "the current request") gets its own bubble (Scoped); and lightweight, cheap-to-create, possibly-mutable objects get a fresh instance every time (Transient).

Big Picture

Resolve #1   Resolve #2   Resolve #3   (within one scope)
Transient:   Instance A    Instance B    Instance C   ← always new
Scoped:      Instance A    Instance A    Instance A   ← same, this scope
Singleton:   Instance A    Instance A    Instance A   ← same, forever

                          --- new scope begins ---

Resolve #1   Resolve #2   (within the NEW scope)
Transient:   Instance D    Instance E   ← still always new
Scoped:      Instance B    Instance B   ← NEW instance for new scope
Singleton:   Instance A    Instance A   ← still the very first one

Notice: Transient never repeats. Scoped repeats within a scope but resets for a new scope. Singleton never resets, ever — same object from app startup to shutdown.

How It Works

using IServiceScope scope = host.Services.CreateScope();
var worker = scope.ServiceProvider.GetRequiredService<OrderProcessor>();

Simple Example

A tiny service that reports its own identity via a GUID makes the lifetime differences visible:

public class InstanceIdReporter
{
    public Guid Id { get; } = Guid.NewGuid();
}

var builder = Host.CreateApplicationBuilder(args);
builder.Services.AddTransient<InstanceIdReporter>();

using var host = builder.Build();

using var scope1 = host.Services.CreateScope();
var a = scope1.ServiceProvider.GetRequiredService<InstanceIdReporter>();
var b = scope1.ServiceProvider.GetRequiredService<InstanceIdReporter>();
Console.WriteLine(a.Id == b.Id); // False — Transient: always a new instance

Change only the registration line to AddScoped<InstanceIdReporter>(), and a.Id == b.Id becomes true within the same scope — but resolving from a second, separate scope gives a different Id again. Change it to AddSingleton<InstanceIdReporter>(), and every resolution, from any scope, anywhere in the app, returns the exact same Id.

Real-World Example

A notification worker processes a queue of orders. It needs a database context (should not be shared across concurrent messages — Scoped), an HttpClient-based pricing API client (safe to share, expensive to build repeatedly — often Singleton via IHttpClientFactory, covered in lesson 130), and a small DTO mapper (cheap, stateless, no reason to share — Transient).

builder.Services.AddScoped<OrderDbContext>();          // one per unit of work
builder.Services.AddSingleton<IPricingApiClient, PricingApiClient>(); // shared, thread-safe
builder.Services.AddTransient<IOrderDtoMapper, OrderDtoMapper>();     // cheap, stateless

public class OrderQueueWorker(IServiceScopeFactory scopeFactory)
{
    public async Task ProcessMessageAsync(OrderMessage message)
    {
        // Each message gets its own scope, so its own fresh OrderDbContext —
        // messages processed concurrently never share a DbContext.
        using var scope = scopeFactory.CreateScope();
        var db = scope.ServiceProvider.GetRequiredService<OrderDbContext>();
        var mapper = scope.ServiceProvider.GetRequiredService<IOrderDtoMapper>();

        var order = mapper.ToEntity(message);
        db.Orders.Add(order);
        await db.SaveChangesAsync();
    }
}

This is a very common real-world pattern: a long-running Singleton worker that deliberately creates a new scope per unit of work so that Scoped dependencies (like a DbContext, which is not safe to share across concurrent operations) get fresh instances each time.

Analogy

Under the Hood

builder.Services.AddSingleton<ReportCacheService>();
builder.Services.AddScoped<OrderDbContext>();

public class ReportCacheService(OrderDbContext db) //  Scoped injected into Singleton
{
    // ...
}

The built-in container actually helps here: by default (in ASP.NET Core apps) it performs scope validation and throws an exception at startup if it detects a Scoped service being injected directly into a Singleton — turning a subtle runtime bug into a loud, immediate failure.

Common Confusion

"Singleton" here isn't the Singleton design pattern

The classic Gang-of-Four Singleton pattern uses a private constructor and a static field to guarantee exactly one instance can ever exist, anywhere, enforced by the type itself. A DI Singleton lifetime is much softer: the container promises to hand out the same instance whenever it is asked — but nothing stops you from writing new MyService() elsewhere in code and getting a second instance outside the container's control. It's "one instance per container," not "one instance, period."

"Scoped" doesn't only mean "per HTTP request"

ASP.NET Core happens to create one scope per request automatically, which is why people equate "Scoped" with "per-request." But the real definition is "per IServiceScope." In a worker service or console app, you decide what a scope represents — often "per queue message" or "per batch job."

Common Mistakes

Mistake 1 — The captive dependency (covered above)

Injecting a Scoped or Transient service straight into a Singleton's constructor. Inject IServiceScopeFactory and create scopes on demand.

Mistake 2 — Making everything Singleton "for performance"

Registering everything as Singleton because "fewer object allocations must be faster." This introduces hidden shared mutable state and thread-safety bugs, and risks captive dependencies.

Default to Transient or Scoped for anything with per-operation state; reserve Singleton for genuinely stateless, thread-safe, or intentionally-shared services (caches, configuration snapshots, HTTP client wrappers).

Mistake 3 — Assuming Transient means "cheap" regardless of what's inside it

Registering an expensive-to-construct object (one that opens a network connection, loads a large file) as Transient, not realizing it gets rebuilt every single time it's resolved — including deep inside a request handling many transient dependencies.

Match the lifetime to the actual construction cost and statefulness of the service, not just habit.

When Should I Use It?

• Transient — lightweight, stateless services with no expensive setup (mappers, validators, small helper classes). Default choice when in doubt and the service holds no state.
• Scoped — anything representing "one unit of work": a database context, a per-request current-user context, a unit-of-work/transaction wrapper.
• Singleton — expensive-to-build, thread-safe, genuinely shareable state: configuration snapshots, in-memory caches, an HttpClient wrapper (via IHttpClientFactory), a connection pool.

Mental Model

Key Takeaway

Check Your Understanding

You've seen the three lifetimes and the captive dependency trap. Let's see if you can reason through some scenarios.

You now understand the three DI lifetimes and can spot — and avoid — the captive dependency trap before it bites you in production.

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