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Performance Analytics Dashboard

Validated at scale — Real-time coupon processing

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Total Requests

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Error Rate (%)

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Avg Response (ms)

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99th Percentile (ms)

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Transactions/sec

API-Level Performance Breakdown

Create Timebound Fetchcode (15)

Avg:70.7 ms
99th:180 ms
Error %:0.03
TPS:1223

Deposit (20 Coupons)

Avg:169.5 ms
99th:272 ms
Error %:0.00
TPS:1295

Redeem 3 Coupons

Avg:116 ms
99th:202 ms
Error %:0.00
TPS:1136

Redeem 5 Coupons

Avg:126.3 ms
99th:217 ms
Error %:0.01
TPS:1136

Redeem 7 Coupons

Avg:63.8 ms
99th:126 ms
Error %:0.00
TPS:1137

Redeem 15 Coupons (Preprocess)

Avg:78.1 ms
99th:160 ms
Error %:0.06
TPS:1136

Performance Overview

Real-time visualization of latency and throughput across key APIs

Average Response Time per API (ms)

Transactions per Second (TPS) per API

Execution Methodology — How We Performed the Load Test

30 EC2 Machines, One Unified Benchmark — Real Load, Real Insights

This benchmark was executed using 30 AWS EC2 instances running JMeter in parallel to simulate real-world coupon traffic.

Launch EC2 Nodes

30 instances provisioned via AWS.

Load Generation

Parallel JMeter processes started remotely.

Data Capture

Each node recorded detailed .jtl metrics.

Report Upload

Logs uploaded to shared S3 bucket.

Merge & Analyze

Unified reports generated and visualized.

Distributed load across 30 EC2 nodes

Zero single-node bottleneck

Unified JTL merge via S3

4.19M requests at 4.5K TPS

Enterprise-scale validation on AWS