Why API Gateway throttling in AWS? - Purpose & Use Cases

The Big Idea

What if your website could stay fast and reliable even when thousands of users flood it at once?

The Scenario

Imagine running a popular online store where hundreds of customers try to buy products at the same time. Without any control, your website's servers get overwhelmed, slow down, or even crash, leaving customers frustrated and orders lost.

The Problem

Manually managing traffic means constantly watching server load and trying to block users one by one when too many requests come in. This is slow, error-prone, and impossible to keep up with during sudden spikes. It leads to downtime and unhappy users.

The Solution

API Gateway throttling automatically limits how many requests each user or app can make in a set time. It protects your backend from overload by smoothly rejecting extra requests, keeping your system stable and responsive without manual effort.

Before vs After

✗ Before

if requests > limit:
    block_request()
else:
    process_request()

✓ After

api_gateway.set_throttling(rate=100, burst=200)
# Requests beyond limit are automatically throttled

What It Enables

It enables your system to handle huge traffic spikes gracefully, ensuring reliable service and happy users even under heavy load.

Real Life Example

During a flash sale, thousands of buyers flood an e-commerce API. Throttling stops the backend from crashing by limiting requests per user, so everyone gets a fair chance to buy without the site going down.

Key Takeaways

Manual traffic control is slow and error-prone.

API Gateway throttling automatically limits request rates.

This keeps systems stable and responsive during traffic spikes.

Practice

1. What is the primary purpose of API Gateway throttling in AWS?

easy

A. To store API request logs permanently

B. To limit the number of requests to protect backend services from overload

C. To increase the speed of API responses

D. To encrypt API requests automatically

Solution

1. Step 1: Understand API Gateway throttling purpose

   API Gateway throttling is designed to control the rate of incoming requests to prevent backend overload.

2. Step 2: Evaluate options against throttling purpose

   Only To limit the number of requests to protect backend services from overload correctly describes throttling as limiting requests to protect backend services.

3. Final Answer:

   To limit the number of requests to protect backend services from overload -> Option B

4. Quick Check:

   Throttling = Limit requests [OK]

Hint: Throttling means limiting requests to avoid overload [OK]

Common Mistakes:

• Confusing throttling with encryption
• Thinking throttling speeds up responses
• Assuming throttling stores logs

2. Which of the following correctly represents the syntax to set a rate limit of 100 requests per second in AWS API Gateway throttling settings?

easy

A. throttle(100, 200)

B. rate_limit = 100, burst_limit = 200

C. rateLimit: 100, burstLimit: 200

D. setRate(100), setBurst(200)

Solution

1. Step 1: Identify correct AWS API Gateway throttling syntax

   The correct syntax uses camelCase keys like rateLimit and burstLimit with numeric values.

2. Step 2: Compare options to AWS documentation style

   rateLimit: 100, burstLimit: 200 matches the correct syntax format; others use invalid or pseudo-code styles.

3. Final Answer:

   rateLimit: 100, burstLimit: 200 -> Option C

4. Quick Check:

   Correct syntax uses camelCase keys [OK]

Hint: AWS uses camelCase keys like rateLimit, burstLimit [OK]

Common Mistakes:

• Using underscores instead of camelCase
• Using function calls instead of key-value pairs
• Confusing method names with settings

3. Given the following API Gateway throttling settings: rateLimit: 50 and burstLimit: 100, what happens when 120 requests arrive simultaneously?

medium

A. Up to 100 requests are processed immediately; the rest are throttled

B. Only 50 requests are processed; the rest are throttled

C. All 120 requests are processed immediately

D. Requests are queued and processed one by one without throttling

Solution

1. Step 1: Understand burstLimit and rateLimit roles

   BurstLimit allows short spikes up to 100 requests at once; rateLimit controls steady rate at 50 requests per second.

2. Step 2: Analyze 120 simultaneous requests

   Up to 100 requests are allowed immediately (burst), the remaining 20 exceed burst and get throttled.

3. Final Answer:

   Up to 100 requests are processed immediately; the rest are throttled -> Option A

4. Quick Check:

   BurstLimit = immediate spike limit [OK]

Hint: BurstLimit allows short spikes, rateLimit steady rate [OK]

Common Mistakes:

• Confusing rateLimit with burstLimit
• Assuming all requests pass immediately
• Thinking requests queue without throttling

4. You configured API Gateway throttling with rateLimit: 200 and burstLimit: 300. However, clients report receiving HTTP 429 errors even when sending 150 requests per second. What is the most likely cause?

medium

A. The usage plan or API key limits are lower than throttling settings

B. The API Gateway cache is full, causing throttling

C. The backend service is down, causing 429 errors

D. The rateLimit and burstLimit values are too high

Solution

1. Step 1: Understand causes of HTTP 429 in API Gateway

   429 errors mean throttling triggered due to exceeding limits.

2. Step 2: Check usage plan and API key limits

   Usage plans or API keys can have lower throttling limits overriding global settings, causing 429 errors at lower rates.

3. Final Answer:

   The usage plan or API key limits are lower than throttling settings -> Option A

4. Quick Check:

   Usage plan limits override throttling [OK]

Hint: Check usage plan limits if throttling occurs unexpectedly [OK]

Common Mistakes:

• Blaming backend service for 429 errors
• Assuming cache affects throttling
• Thinking high limits cause throttling

5. You design an API for a popular mobile app expecting sudden traffic spikes up to 1000 requests per second for short bursts, but steady traffic around 300 requests per second. How should you configure API Gateway throttling to handle this efficiently?

hard

A. Set rateLimit to 1000 and burstLimit to 300

B. Set both rateLimit and burstLimit to 1000

C. Set both rateLimit and burstLimit to 300

D. Set rateLimit to 300 and burstLimit to 1000

Solution

1. Step 1: Match throttling settings to traffic patterns

   RateLimit controls steady request rate; BurstLimit allows short spikes above steady rate.

2. Step 2: Apply to given traffic

   Set rateLimit to steady 300 requests/sec and burstLimit to 1000 for short spikes.

3. Final Answer:

   Set rateLimit to 300 and burstLimit to 1000 -> Option D

4. Quick Check:

   RateLimit steady, BurstLimit spike [OK]

Hint: RateLimit steady rate, BurstLimit handles spikes [OK]

Common Mistakes:

• Swapping rateLimit and burstLimit values
• Setting both limits too low
• Ignoring burstLimit for spikes