← CASE STUDIES
CASE STUDY / 05
Rate LimitingAPI SecurityBrute ForceValidationRedis

Protecting APIs Against Abuse

A backend security scenario focused on rate limiting, brute-force protection and controlling abusive API traffic.

OVERVIEW

This case study explores how backend APIs can implement controls that reduce automated abuse and excessive request traffic.

01

The Problem

Sensitive endpoints could receive repeated requests.

Authentication endpoints were potential brute-force targets.

The backend needed controls for excessive request activity.

02

Architecture

Client
→
API Gateway
→
Rate Limiter
→
Node.js API
→
Redis
→
Database
03

Technical Challenges

01

Choosing appropriate limits

02

Avoiding unnecessary blocking of legitimate users

03

Tracking request activity

04

Protecting sensitive endpoints

04

Investigation

Request frequency
Authentication attempts
Endpoint sensitivity
Client identity
Abuse patterns
05

Solution

01

Introduce endpoint-specific rate limits.

02

Use Redis for distributed request tracking.

03

Apply stronger controls to authentication endpoints.

04

Monitor abnormal request patterns.

06

Results

Better protection against excessive requests.

Improved resilience of sensitive endpoints.

Centralized API abuse controls.

07

Lessons Learned

01

Not every endpoint requires the same rate limit.

02

Security controls should consider application behavior.

03

Distributed systems require distributed rate-limiting strategies.

TECHNOLOGY
Node.jsRedisExpressREST API
HAVE A SIMILAR BACKEND PROBLEM?

Let's discuss your
technical challenge.