Installing and Localizing Netdata: A Real‑Time Linux Performance Monitoring Tool

Netdata is a real‑time performance monitoring tool for Linux systems that presents metrics such as CPU, memory, disk I/O, and network activity through a fast, Flash‑free web interface built with Bootstrap.

Because Netdata does not ship with an official Chinese version, the author created a simple localization by using a provided script and a forked repository.

The installation process begins with installing the same dependencies as the original version, then cloning the forked repository: https://github.com/Fhaohaizi/netdata Next, run the Chinese installer script netdata-installer-zh.sh, after which the Netdata service automatically restarts and the web UI displays the localized strings.

For reference, the original installation commands are also shown:

curl -Ss 'https://raw.githubusercontent.com/firehol/netdata-demo-site/master/install-required-packages.sh' >/tmp/kickstart.sh && bash /tmp/kickstart.sh -i netdata

curl -Ss 'https://raw.githubusercontent.com/firehol/netdata-demo-site/master/install-required-packages.sh' >/tmp/kickstart.sh && bash /tmp/kickstart.sh -i netdata-all

git clone https://github.com/firehol/netdata.git --depth=1

cd netdata

# install

./netdata-installer.sh

service netdata start

After installation, the dashboard can be accessed at http://<em>ip</em>:19999/, where users can view real‑time graphs.

Netdata’s advantages include a beautiful Bootstrap UI, high efficiency because it is written in C (typically using only about 2 % of a single CPU core), zero‑configuration, and zero external dependencies, as it serves its own static web files.

The tool can monitor a wide range of metrics, such as:

CPU usage, interrupts, soft‑interrupts, and frequency per core

RAM, swap, and kernel memory usage (including KSM and deduplication)

Disk I/O per device (bandwidth, operations, utilization)

IPv4 network statistics (packets, errors, fragmentation) and detailed TCP/UDP/ broadcast/ multicast data

Netfilter/iptables firewall events

Process activity (running, blocked, forks, threads)

NFS file‑server activity

Network service quality metrics

Application‑level statistics grouped by process tree (CPU, memory, disk I/O, threads, sockets, etc.)

Apache web‑server status (v2.2, v2.4)

MySQL database metrics across multiple servers (bandwidth, queries/s, locks, temporary tables, connections, binary logs, InnoDB engine details)