Load-Balancing

← Sieve of Eratosthenes | Series Overview | Collatz Explorer → The Problem: Rendering Fractals in Parallel The Mandelbrot set is defined by a simple iterative formula: Start with z = 0 Repeatedly compute z = z² + c If |z| exceeds 2, the point escapes (not in the set) Color each pixel by iteration count The beauty: Each pixel is completely independent. Perfect for parallelism! The challenge: Some pixels escape in 5 iterations, others take 1000+. This creates load imbalance-some workers finish instantly while others grind away. ...

Introduction Building robust distributed systems requires understanding fundamental patterns that solve common challenges like consensus, fault tolerance, request distribution, and asynchronous communication. This comprehensive guide uses visual diagrams to illustrate how these patterns work, making complex distributed systems concepts easier to understand and implement. We’ll explore: Raft Consensus Algorithm: How distributed systems agree on shared state Circuit Breaker Pattern: Preventing cascading failures in microservices Load Balancing Algorithms: Distributing traffic efficiently across servers Message Queue Patterns: Asynchronous communication strategies Part 1: Raft Consensus Algorithm The Raft consensus algorithm ensures that a cluster of servers maintains a consistent, replicated log even in the face of failures. It’s designed to be more understandable than Paxos while providing the same guarantees. ...