캐싱과 속도 제한
캐싱을 구현하여 지연 시간을 줄이고 API Gateway의 속도 제한과 사용량 계획으로 트래픽 급증을 관리합니다.
캐싱과 속도 제한은(는) CoddyKit의 무료 Serverless Backend with AWS Lambda & API Gateway 강의입니다. 이것은 4개 중 1번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Serverless Backend with AWS Lambda & API Gateway 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Serverless Backend with AWS Lambda & API Gateway 강의에는 총 4개의 강의가 포함되어 있습니다.
이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.
Boost API Performance
In the world of APIs, speed and reliability are key. High latency (slow responses) frustrates users, while sudden traffic spikes can crash your backend services.
This lesson explores two powerful features in AWS API Gateway: caching and throttling. They help you deliver fast, stable, and cost-effective APIs.
What is API Caching?
Caching is like having a temporary storage for frequently requested data. Instead of always fetching data from your backend (e.g., a database or Lambda function), API Gateway can store the response and serve it directly.
- Reduces latency: Responses are returned much faster.
- Lowers load: Your backend services receive fewer requests.
- Saves costs: Less compute/database usage.
How API Gateway Caches
When caching is enabled for an API stage, API Gateway stores responses from your backend for a specified duration.
Here's how it works:
- A client sends a request to API Gateway.
- API Gateway checks if a valid response for that request is in its cache.
- If found, API Gateway immediately returns the cached response.
- If not found, API Gateway forwards the request to your backend, caches the response, then returns it to the client.
Enabling API Caching
Caching is configured at the API stage level. You specify a cache capacity and a default Time-to-Live (TTL) for cached responses.
- Cache Capacity: The size of the cache (e.g., 0.5 GB to 237 GB).
- TTL (Time-to-Live): How long responses are stored in the cache, in seconds (default 300s).
- Encryption: Cache data can be encrypted at rest.
You can also override TTL per method or even disable caching for specific methods.
Clearing the Cache
What if your backend data changes? You don't want to serve stale cached data. This is where cache invalidation comes in.
- Client-side: Clients can send a
Cache-Control: max-age=0header to bypass the cache and force a fresh response. - API Key: If using API keys, clients with the key can invalidate the cache for specific requests.
- Manual: You can manually invalidate the entire stage cache via the AWS Management Console or CLI.
Controlling API Traffic
Throttling is about limiting the number of requests your API can receive over a certain period. Think of it as a traffic cop for your API.
It's crucial for:
- Backend Protection: Prevents your backend services from being overwhelmed.
- Cost Control: Reduces unexpected spikes in resource usage.
- Fair Usage: Ensures all users get a reasonable share of API access.
How API Gateway Throttles
API Gateway enforces throttling based on two main metrics:
- Rate: The steady-state number of requests per second (RPS) that clients can submit to your API.
- Burst: The maximum number of concurrent requests API Gateway will fulfill before returning
429 Too Many Requestserrors. This allows for brief spikes above the steady rate.
When limits are hit, API Gateway rejects excess requests, protecting your backend.
Default Throttling Limits
AWS sets default account-level throttling limits for API Gateway to ensure service stability across all users. These are soft limits, meaning you can request increases.
- Example: A default might be 10,000 requests per second (RPS) and a burst of 5,000 concurrent requests across all APIs in a region.
These limits apply before any stage-specific or usage plan limits are considered.
Customizing Stage Throttling
Beyond account-level limits, you can configure stage-level throttling for individual methods or entire API stages.
- You can set a default rate limit and burst limit for the entire stage (e.g., 100 RPS for
dev, 1000 RPS forprod). - You can also override these defaults for specific HTTP methods (e.g., a
POST /itemsmight have a lower limit than aGET /items).
Throttling by User
For more granular control, especially when managing different user tiers or monetizing your API, you use Usage Plans combined with API Keys.
- Usage Plan: Defines custom throttling limits (rate, burst) and quotas (total requests over a period) for a group of clients.
- API Key: A unique identifier that clients include in their requests. API Gateway uses this key to map the client to a usage plan and enforce its specific limits.
This allows you to offer different service levels (e.g., Free, Premium) to different clients.
Quick Check
Understanding the purpose of throttling is crucial for building resilient APIs.
Caching & Throttling Summary
We've explored how caching dramatically improves API performance by reducing latency and backend load. We also learned how throttling protects your services from traffic spikes and ensures fair usage through account-level, stage-level, and usage plan configurations.
These features are essential for building robust and scalable serverless APIs with AWS API Gateway.
자주 묻는 질문
“캐싱과 속도 제한” 강의는 무료인가요?
네 — “캐싱과 속도 제한” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Serverless Backend with AWS Lambda & API Gateway 강의 전체를 잠금 해제할 수 있습니다. Serverless Backend with AWS Lambda & API Gateway 강의에는 총 4개의 강의가 포함되어 있습니다.
“캐싱과 속도 제한”에서 뭘 배우나요?
캐싱을 구현하여 지연 시간을 줄이고 API Gateway의 속도 제한과 사용량 계획으로 트래픽 급증을 관리합니다. 브라우저에서 직접 실행하는 실습 코드로 Serverless Backend with AWS Lambda & API Gateway을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.
Serverless Backend with AWS Lambda & API Gateway을(를) 시작하는 데 경험이 필요한가요?
사전 경험은 필요하지 않습니다. CoddyKit의 Serverless Backend with AWS Lambda & API Gateway은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 1번째 강의입니다.
“캐싱과 속도 제한” 강의는 얼마나 걸리나요?
대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.
이 Serverless Backend with AWS Lambda & API Gateway 강의에서 코드를 작성하고 실행할 수 있나요?
네. 모든 Serverless Backend with AWS Lambda & API Gateway 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.