Why Notification system design in HLD? - Purpose & Use Cases

The Big Idea

What if you could tell millions about your news in seconds, without lifting a finger?

The Scenario

Imagine you run a small online store and want to tell your customers about new deals. You try sending emails or messages one by one, copying and pasting each time.

It feels like shouting in a noisy room, hoping the right people hear you.

The Problem

Sending notifications manually is slow and tiring. You might forget someone or send duplicates. It's hard to keep track of who got what.

As your store grows, this manual way becomes a big headache and wastes your time.

The Solution

A notification system automates sending messages to many users at once. It organizes who should get what and when, without mistakes.

This system can send emails, texts, or app alerts quickly and reliably, saving you effort and making customers happy.

Before vs After

✗ Before

for user in users:
    send_email(user.email, message)

✓ After

notification_service.send_bulk(users, message)

What It Enables

With a notification system, you can reach thousands of users instantly and keep them engaged without lifting a finger.

Real Life Example

Social media apps use notification systems to alert you about likes, comments, or messages in real time, keeping you connected and informed.

Key Takeaways

Manual notifications are slow and error-prone.

Notification systems automate and scale message delivery.

This improves user engagement and saves time.

Practice

1. Which component in a notification system is primarily responsible for storing user preferences about how they want to receive notifications?

easy

A. User Management Service

B. Notification Delivery Service

C. Notification Queue

D. Notification Generator

Solution

1. Step 1: Understand user preferences role

   User preferences define how users want to receive notifications (email, SMS, push).

2. Step 2: Identify responsible component

   The User Management Service stores and manages user data including preferences.

3. Final Answer:

   User Management Service -> Option A

4. Quick Check:

   User preferences stored in User Management Service [OK]

Hint: User preferences belong to user data, so User Management Service [OK]

Common Mistakes:

• Confusing Notification Queue as storage for preferences
• Thinking Notification Delivery Service stores preferences
• Assuming Notification Generator manages user data

2. Which of the following is the correct sequence of components involved in sending a notification from creation to delivery?

easy

A. User Management Service -> Notification Delivery Service -> Notification Generator

B. Notification Delivery Service -> Notification Queue -> Notification Generator

C. Notification Queue -> Notification Generator -> Notification Delivery Service

D. Notification Generator -> Notification Queue -> Notification Delivery Service

Solution

1. Step 1: Understand notification flow

   Notifications are created, queued, then delivered.

2. Step 2: Match correct order

   Notification Generator creates, Notification Queue holds, Delivery Service sends.

3. Final Answer:

   Notification Generator -> Notification Queue -> Notification Delivery Service -> Option D

4. Quick Check:

   Creation, queue, delivery order = A [OK]

Hint: Notifications flow: create, queue, then deliver [OK]

Common Mistakes:

• Mixing delivery before queuing
• Starting with delivery service instead of generator
• Ignoring the queue component

3. Consider this simplified flow: A notification is created and placed in a queue. The delivery service fetches notifications from the queue and sends them. If the delivery service crashes after fetching but before sending, what happens to the notification?

medium

A. Notification is lost and never sent

B. Notification is duplicated and sent twice

C. Notification remains in the queue for retry

D. Notification is sent immediately by the generator

Solution

1. Step 1: Analyze delivery service crash timing

   Crash occurs after fetching from queue but before sending notification.

2. Step 2: Understand queue behavior with acknowledgment

   Without acknowledgment, message stays or returns to queue for retry.

3. Final Answer:

   Notification remains in the queue for retry -> Option C

4. Quick Check:

   Unacknowledged messages stay in queue [OK]

Hint: Unsent messages stay in queue until confirmed sent [OK]

Common Mistakes:

• Assuming notification is lost without retry
• Thinking notification is duplicated automatically
• Believing generator sends notification directly

4. A notification system is experiencing delays because the delivery service processes notifications sequentially. Which change will best improve throughput without losing message order?

medium

A. Store notifications only in the database without queue

B. Add multiple delivery service instances with partitioned queues

C. Use a single-threaded delivery service with longer timeouts

D. Remove the queue and send notifications directly

Solution

1. Step 1: Identify bottleneck cause

   Sequential processing limits throughput.

2. Step 2: Apply partitioned queues with multiple instances

   Partitioning allows parallel processing while preserving order per partition.

3. Final Answer:

   Add multiple delivery service instances with partitioned queues -> Option B

4. Quick Check:

   Parallelism with partitioning improves throughput [OK]

Hint: Partition queues to parallelize delivery without breaking order [OK]

Common Mistakes:

• Removing queue loses reliability and order
• Single-threaded service slows throughput
• Storing only in DB delays delivery

5. You need to design a notification system that supports millions of users with different notification preferences and guarantees delivery within seconds. Which architectural approach best meets these requirements?

hard

A. Implement microservices with separate components for user preferences, notification generation, queuing, and delivery with horizontal scaling

B. Use a monolithic service handling all notifications synchronously

C. Store all notifications in a single database table and poll it every minute for delivery

D. Send notifications directly from the user management service without queues

Solution

1. Step 1: Analyze scalability and latency needs

   Millions of users and seconds-level delivery require scalable, decoupled design.

2. Step 2: Choose microservices with separate components and horizontal scaling

   This approach allows independent scaling, fault isolation, and faster processing.

3. Final Answer:

   Implement microservices with separate components for user preferences, notification generation, queuing, and delivery with horizontal scaling -> Option A

4. Quick Check:

   Microservices + scaling = scalable, fast delivery [OK]

Hint: Decouple components and scale horizontally for millions of users [OK]

Common Mistakes:

• Using monolith limits scalability and speed
• Polling DB every minute causes delays
• Skipping queues reduces reliability