Load balancers distribute incoming network traffic across multiple servers to maximize application uptime and performance. Optimizing load balancing rules prevents overload, improves response times, and ensures system resilience. Without structured approvals, configuration updates may disrupt traffic flow, causing latency, downtime, or security vulnerabilities. Manually managing load balancer optimizations delays improvements and lacks visibility into past changes. Cflow helps to automate Load Balancer Optimization Approvals, ensuring that all configuration changes are reviewed, validated, and aligned with performance and security best practices.