A server cluster has 20 nodes. Each node handles 300 requests per second, but 25% are rejected due to load balancing. How many valid requests per hour are processed?

Sun, 03 May 2026 05:37:59 +0000

**A Server Cluster with 20 Nodes: Valid Requests Processed Per Hour—Behind the Numbers** Why are so many digital infrastructure experts pausing when analyzing server clusters built across 20 nodes? Each node processes a steady stream of 300 requests per second, but a recurring challenge emerges: ongoing load balancing causes 25% of requests to be rejected. This rejection rate raises a realistic but often overlooked question: how many valid requests actually make it through over time? For companies building scalable systems—from cloud platforms to e-commerce sites—understanding this metric isn’t just technical—it’s critical for reliable performance planning. **Why This Clusters Matter Now: Load, Limits, and Real-World Impact**
Across the US digital landscape, server clusters form the backbone of nearly every online service. With 20 nodes each handling 300 requests per second, the raw throughput capacity is substantial—60,000 requests per second at peak load. Yet load balancers actively reject 25% to prevent overload, ensuring system stability and fairness in traffic distribution. This intentional rejection isn’t a flaw; it’s a necessary safeguard. Without it, nodes would stretch beyond optimal capacity, risking crashes or degraded performance. The real insight? Not all requests count equally—quality and timing matter as much as volume. **How Do Valid Requests Accumulate Over an Hour?**
Let’s break down the math with clarity. Each node handles 300 requests per second. Across 20 nodes, the total request rate reaches 6,000 requests every second. Over one hour—3,600 seconds—that rises to 6,000 × 3,600 = 21,600,000 total requests. With 25% rejected, just 75% pass through. Multiply: 21,600,000 × 0.75 equals 16,200,000 valid requests processed per hour. This figure reflects real-world efficiency after managing variable traffic and system constraints.