Operations 2 min read

Understanding Server Upstream and Downstream Bandwidth: Why Uploads Can Slow Your Server

The article explains the difference between upstream and downstream bandwidth on a server, describes how most servers primarily use upstream for downloads, notes that downstream is used for uploads, and warns that POST uploads can consume memory and cause I/O slowdown when concurrency is high.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Understanding Server Upstream and Downstream Bandwidth: Why Uploads Can Slow Your Server

1. Upstream

It refers to the bandwidth flowing out of the server; when other machines download files from the server, they primarily use the server’s upstream bandwidth.

2. Downstream

It refers to the bandwidth flowing into the server; when other machines upload files to the server (e.g., via FTP), they primarily use the server’s downstream bandwidth. In most server usage scenarios, upstream bandwidth (downloading from the server) is used more frequently, while downstream (uploading to the server) is used less.

When uploading via POST, the file is read into the server’s memory; if the server has limited memory and many concurrent uploads occur, the server may run out of memory and resort to virtual memory or swap, significantly degrading I/O performance and causing the server to “slow down”.

Original Source

Signed-in readers can open the original source through BestHub's protected redirect.

Sign in to view source
Republication Notice

This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactadmin@besthub.devand we will review it promptly.

PerformancedownstreamPOST uploadserver bandwidth
MaGe Linux Operations
Written by

MaGe Linux Operations

Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.

0 followers
Reader feedback

How this landed with the community

Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.