The primary goal of network performance optimization is to minimize network latency, which is the time it takes for data to travel from one point to another on a network.

Using a CDN is a common technique for reducing network latency by caching content closer to users, reducing the distance that data needs to travel.

Traffic shaping is used to prioritize certain types of traffic over others, ensuring that critical applications and services receive the necessary bandwidth and resources.

Throughput, latency, packet loss, and jitter are all common metrics used to measure network performance.

Network monitoring involves identifying and resolving network issues, collecting data on network performance, and analyzing network traffic patterns, all of which contribute to network performance optimization.

Implementing redundancy, using load balancing, and upgrading to a higher-quality network connection are all common techniques for improving network reliability.

Network segmentation is used to improve network security, isolate different parts of a network, and reduce network congestion.

Using a pay-as-you-go pricing model, optimizing network utilization, and negotiating with network providers are all common techniques for reducing network costs.

Network virtualization improves network flexibility, increases network scalability, and reduces network costs.

Using a cloud-based CDN, implementing auto-scaling, and optimizing application code are all common techniques for optimizing network performance in cloud computing environments.

Network performance testing is used to identify network bottlenecks, measure network performance metrics, and verify that the network meets performance requirements.

Ping, Traceroute, and iPerf are all common tools for network performance testing.

Network capacity planning ensures that the network has sufficient capacity to meet current and future demand, identifies and eliminates network bottlenecks, and optimizes network utilization.

Using a cloud-based load balancer, implementing auto-scaling, and optimizing application code are all common techniques for optimizing network performance in cloud computing environments.

Network security protects the network from unauthorized access, prevents network attacks, and ensures the confidentiality, integrity, and availability of network data.