What Is Throughput?

Throughput is a measure of how quickly you can complete tasks. It's a measurement of how much work you get done over time. It's like the speedometer on your car. It measures how quickly you're going but doesn't tell you anything about how far you've gone or where you're going. When we talk about throughput, we usually talk about it in terms of network traffic, processor usage, and memory use. High throughput means that these work together to get things done quickly and efficiently. Throughput is the measure of how fast you can get the job done. It's like the speed limit on a highway—how fast can you go without getting pulled over? But the throughput is a little bit different than that. When driving down the road, the state sets your speed limit and doesn't change. There's only one "right" way to move at a specific speed. But when it comes to throughput, there are many right ways to get things done quickly, like writing code in Python or Ruby instead of Java. There are also many wrong ways, like taking an hour-long lunch break every day or leaving early every Friday afternoon. You might think that one way is better than another—and sometimes it is—but ultimately, you have to find what works best for the tasks at hand and stick with it until they're completed (or until someone tells you otherwise). Theoretically, the more tiers there are, your network performance will improve. That's because there are more connections between clients and servers, which means more bandwidth (and therefore throughput). But this doesn't always translate into real-world benefits. For example, when working with a three-tier client/server model, your overall throughput might be higher than if you were working with a two-tier model—but your latency could still be lower.