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+# Distributed Rate Limiter Service
+
+A high-performance, distributed middleware service designed to protect downstream services (like url-shortener) from abuse and traffic spikes.
+
+It implements a **Inter-changeable Strategy Pattern**, allowing you to hot-swap rate-limiting algorithms (Token Bucket, Sliding Window, etc.) without changing the core application logic. The logic is executed in **Redis** using **Lua scripts** to ensure atomicity across distributed nodes.
+
+
+
+## Key Features
+* **Atomic Operations:** All logic is pushed to **Redis Lua Scripts**. This eliminates "Check-Then-Act" race conditions common in distributed systems.
+* **Pluggable Algorithms:** Supports multiple strategies via a Factory pattern:
+    * **Token Bucket:** Allows traffic bursts while maintaining an average rate.
+    * **Leaking Bucket:** Smooths out traffic to a constant flow.
+    * **Sliding Window Counter:** A memory-efficient approximation of the sliding window.
+    * **Sliding Window Log:** Logs timestamps to get accurate counts.
+    * **Fixed Window:** Simple counter (reset at fixed intervals).
+* **Resilience:** Implements a **Fail-Open** Circuit Breaker. If Redis goes down, traffic is allowed to preserve user experience.
+* **Observability:** Fully instrumented with **Micrometer** and **Prometheus** (RED Method).
+
+---
+
+## Tech Stack
+
+* **Language:** Java 21 (Temurin)
+* **Server:** Netty server
+* **Storage:** Redis (Lettuce Driver)
+* **Scripting:** Lua (Server-side scripting)
+* **Metrics:** Prometheus, Grafana
+---
+
+## Architecture
+
+```mermaid
+%%{init: {'theme': 'neutral'} }%%
+graph TD
+    User[Client]
+    
+    subgraph "Rate Limiter"
+        Server[Netty Server]
+        Handler[Rate Limiter Handler]
+        Strategy[Strategy Interface]
+        
+        Server --> Handler
+        Handler --> Strategy
+    end
+
+    subgraph "Infrastructure"
+        Redis[(Redis Cache)]
+        Lua[Lua Script]
+    end
+
+    User -- "Request user=alice" --> Server
+    Strategy -- "EVALSHA (Atomic)" --> Redis
+    Redis -- "Executes" --> Lua
+    Lua -- "1 (Allow) / 0 (Deny)" --> Strategy
+    Strategy -- "200 OK / 429 Too Many Requests" --> User
+```
+## Supported Algorithms
+The service is designed to be algorithm-agnostic. The currently active algorithm is loaded at startup via RateLimiterFactory.
+
+| Algorithm                   | Best For          | Pros                                    | Cons                                      |
+|:----------------------------|:------------------|:----------------------------------------|:------------------------------------------|
+| **Token Bucket**            | API Rate Limiting | Allows short bursts; memory efficient 	 | Complex to tune refill rates              |
+| **Leaking Bucket**          | Packet Shaping    | Enforces constant outflow rate          | Bursts can cause queue drops              |
+| **Fixed Window**            | Basic Protection  | Simple; low CPU usage                   | "Edge case" spikes (2x limit at boundary) |
+| **Sliding Window Log**      | Precision         | 100% accurate rolling window            | Expensive RAM (stores every timestamp)    |
+| **Sliding Window Counter**  | Balanced          | Good approximation; low RAM             | Slightly less precise than logs           |
+
+## Observability
+This service automatically reports metrics to the central DSL Observability stack.
+- Metric Name: `ratelimiter.requests`
+- Tags: result=`allowed`, result=`blocked`
+- Latency: `ratelimiter.check.duration`
+
+Access the Grafana Dashboard at http://localhost:3000 to visualize the Block Rate.