Gather Linux & macOS system information with

Introduction is a small shell script that collects system information from a Linux or macOS host and displays it in a well formatted manner. The information includes hostname, CPU, memory, uptime, load average, netowork stats, and more. On macOS it even grabs the hardware serial numnber and queries Apple’s support website to check and then display the exact model of Apple hardware on which it is running. This information can easily be put in bug reports, README’s, or other support documents. It’s especially effective when connecting to a server that is unfamiliar and information is needed quickly.


I’m on different servers daily and I want a quick look at what hardware the system has. I can fire off a dozen or so commands and find this information. But decided one night to quickly write a script to do it for me, thus this script was born. It used to live in my scriptlets repo, but I recently moved it to its own repo since I have additional plans. As of today, I have plans to refactor the shell script (it’s a bit dirty) and then rewrite this in Go and possibly Perl or Python. I also plan to add support for other OSes including Solaris, AIX, and HP-UX.


You can find the repo here;

There are only three arguments with which it can be run. First, no arguments at all (the absence of an argument is still an argument, right?). Second, --connections to display currently ESTABLISHED network connections. And finally, --containers, to show running containers (specifically containers running in Docker, though I’d like podman, cri-o, and containerd] containers supported in the future).

To make it easy to run when I am in any enviroment, I’ve created a small url at; which points directly to the raw script in the repository. Which makes it really easy to run;

curl -sSL | sudo bash

NOTE: Obviously I wouldn’t recommend just blindly running the command above if you are concerned about security at all. Download the script, view the source, and if you trust it, use it.

Sample output

Here are some samples of the many times that I have run this script;


Linux Mint 19.1 (as an unprivileged user)
[email protected]:~$ sudo
Current Date:        Tue Jul 30 22:00:54 MDT 2019
Hostname:            dev-vm
OS:                  Linux Mint 19.1 Tessa
Kernel:              Linux 4.15.0-55-generic
HW Version:          >>>FOR THIS STAT, RUN AS ROOT<<<
HW Serial:           >>>FOR THIS STAT, RUN AS ROOT<<<
HW UUID:             >>>FOR THIS STAT, RUN AS ROOT<<<
Uptime:              44 minutes
Load Average:        0.22, 0.35, 0.51
Processor:           Intel(R) Core(TM) i5-6360U CPU @ 2.00GHz
Core Count:          2
Virtual Cores:       2
Total Memory:        1.95 gigabytes
Memory Used:         494M used (of 1.9G), 1.1G unused.
Internal IP: (Tx/Rx: 1.2 MB/25.4 MB)
External IP: (
Docker Version:      >>>FOR THIS STAT, RUN AS ROOT<<<
Linux Mint 19.1 (as root)
[email protected]:~$ sudo
Current Date:        Tue Jul 30 21:43:14 MDT 2019
Hostname:            dev-vm
OS:                  Linux Mint 19.1 Tessa
Kernel:              Linux 4.15.0-55-generic
HW Version:          innotek GmbH VirtualBox
HW Serial:           0
HW UUID:             C9061541-26F1-4D70-839E-76726F0B6CC6
Uptime:              26 minutes
Load Average:        0.14, 0.39, 0.54
Processor:           Intel(R) Core(TM) i5-6360U CPU @ 2.00GHz
Core Count:          2
Virtual Cores:       2
Total Memory:        1.95 gigabytes
Memory Used:         1.4G used (of 1.9G), 111M unused.
Internal IP: (Tx/Rx: 411.3 KB/10.5 MB)
External IP:         170.xx.xx.xx (
Docker Version:      18.09.7
CentOS 7.6
[email protected]:~$ curl -sSL | sudo bash
Current Date:        Sat Sep  7 09:54:21 MDT 2019
OS:                  CentOS Linux release 7.6.1810 (Core) 
Kernel:              Linux 3.10.0-957.27.2.el7.x86_64
HW Version:          Intel Corporation NUC7PJYH
HW Serial:           G6JY89010919
HW UUID:             9ddacb62-1191-177e-e916-94c6493f61eb
Uptime:              1 week, 1 hour, 59 minutes
Load Average:        4.92, 4.84, 4.85
Processor:           Intel(R) Pentium(R) Silver J5005 CPU @ 1.50GHz
Core Count:          4
Virtual Cores:       4
Total Memory:        15.11 gigabytes
Memory Used:         552M used (of 15G), 2.5G unused. 
Internal IP: (Tx/Rx: 6.3 GiB/18.3 GiB)
External IP: (
Docker Version:      19.03.1
CentOS 7.6
[[email protected] ~]$ sudo ./
Current Date:        Mon Jul 29 22:22:22 MDT 2019
OS:                  CentOS Linux release 7.6.1810 (Core)
Kernel:              Linux 3.10.0-957.1.3.el7.x86_64
HW Version:          Dell Inc. PowerEdge T20
HW Serial:           XXXXXXX
HW UUID:             4c4c4555-014c-3810-8908-b5a04f35b931
Uptime:              25 weeks, 4 days, 1 hour, 49 minutes
Load Average:        1.19, 1.64, 1.64
Processor:           Intel(R) Xeon(R) CPU E3-1245 v3 @ 3.40GHz
Core Count:          4
Virtual Cores:       8
Total Memory:        23.30 gigabytes
Memory Used:         5.2G used (of 23G), 532M unused.
Internal IP: (Tx/Rx: 1.0 TiB/2.0 TiB)
External IP: (
Docker Version:      18.09.1
Ubuntu 18.04
[email protected]:~$ sudo
Current Date:        Thu Feb 14 10:18:41 MST 2019
Hostname:            hostname
OS:                  Ubuntu 18.04.2 LTS
Kernel:              Linux 4.15.0-45-generic
HW Version:          HP EliteDesk 800 G1 SFF
HW Serial:           2UA50608BT
HW UUID:             509C1380-A315-22E4-A607-645106565972
Uptime:              3 days, 10 minutes
Load Average:        0.54, 0.50, 0.49
Processor:           Intel(R) Core(TM) i5-4590 CPU @ 3.30GHz
Core Count:          4
Virtual Cores:       4
Total Memory:        15.57 gigabytes
Memory Used:         3.1G used (of 15G), 8.1G unused.
Internal IP: (Tx/Rx: 19.6 GB/1.6 GB)
External IP: (
Docker Version:      18.09.0
RHEL 7.5 (running Kubernetes)
[[email protected] ~]# ./
Current Date:        Thu Feb 14 15:57:16 MST 2019
Hostname:            hostname.local
OS:                  Red Hat Enterprise Linux Server release 7.5 (Maipo)
Kernel:              Linux 3.10.0-862.el7.x86_64
HW Version:          VMware Virtual Platform
HW Serial:           VMware-42 29 a2 7e 1e 14 55 93-b5 b7 5a 73 e1 91 31 8c
HW UUID:             4229A27E-1E14-5593-B5B7-5A73E191318C
Uptime:              1 hour, 34 minutes
Load Average:        1.30, 0.71, 0.66
Processor:           Intel(R) Xeon(R) CPU E5-2690 v2 @ 3.00GHz
Core Count:          1
Virtual Cores:       2
Total Memory:        3.70 gigabytes
Memory Used:         1.4G used (of 3.7G), 110M unused.
Internal IP: (Tx/Rx: 55.1 MiB/278.8 MiB)
External IP: (
Docker Version:      1.13.1
Containers:          CONTAINER ID       NAME
                     4ddcdcb1901d       k8s_nginx-ingress-ingress-controller_main-nginx-ingress-ingress-controller-6dddb4d4d7-wmjfr_ingress-nginx_3dcb6196-309f-11e9-b964-005056a91740_0
                     000f43b13d9a       k8s_nginx-ingress-default-backend_main-nginx-ingress-default-backend-764f465755-5vgdh_ingress-nginx_3dcc80a0-309f-11e9-b964-005056a91740_0
                     7eaa3e77b4ec       k8s_POD_main-nginx-ingress-ingress-controller-6dddb4d4d7-wmjfr_ingress-nginx_3dcb6196-309f-11e9-b964-005056a91740_0
                     c1a8f72b8d41       k8s_POD_main-nginx-ingress-default-backend-764f465755-5vgdh_ingress-nginx_3dcc80a0-309f-11e9-b964-005056a91740_0
                     d3969eddabf5       k8s_grafana_grafana-7f69f4ffd-97kq6_grafana_28fb9880-309f-11e9-b964-005056a91740_0
                     4145a5a5ba1f       k8s_POD_grafana-7f69f4ffd-97kq6_grafana_28fb9880-309f-11e9-b964-005056a91740_0
                     8a76098d74fa       k8s_prometheus-server_prometheus-server-77dd5bf6bb-7brn8_prometheus_105a1ed9-309f-11e9-b964-005056a91740_0
                     b332bf7a2b0f       k8s_prometheus-server-configmap-reload_prometheus-server-77dd5bf6bb-7brn8_prometheus_105a1ed9-309f-11e9-b964-005056a91740_0
                     32bc48b1c730       k8s_prometheus-alertmanager-configmap-reload_prometheus-alertmanager-7995bc8577-5vxcv_prometheus_104d8b29-309f-11e9-b964-005056a91740_0
                     2c82f5ae0708       k8s_prometheus-pushgateway_prometheus-pushgateway-648d6c8b-w7mbl_prometheus_1054d94f-309f-11e9-b964-005056a91740_0
                     9ed8a61d330d       k8s_prometheus-node-exporter_prometheus-node-exporter-8rl7s_prometheus_103d8b91-309f-11e9-b964-005056a91740_0
                     cfbd8df0bd2d       k8s_prometheus-alertmanager_prometheus-alertmanager-7995bc8577-5vxcv_prometheus_104d8b29-309f-11e9-b964-005056a91740_0
                     20be7f92f01e       k8s_prometheus-kube-state-metrics_prometheus-kube-state-metrics-64fd5b47fd-gczgx_prometheus_10580140-309f-11e9-b964-005056a91740_0
                     83af71057fd5       k8s_POD_prometheus-alertmanager-7995bc8577-5vxcv_prometheus_104d8b29-309f-11e9-b964-005056a91740_0
                     ee20fe12793e       k8s_POD_prometheus-server-77dd5bf6bb-7brn8_prometheus_105a1ed9-309f-11e9-b964-005056a91740_0
                     c9da218603ea       k8s_POD_prometheus-kube-state-metrics-64fd5b47fd-gczgx_prometheus_10580140-309f-11e9-b964-005056a91740_0
                     17e2e9c9d333       k8s_POD_prometheus-pushgateway-648d6c8b-w7mbl_prometheus_1054d94f-309f-11e9-b964-005056a91740_0
                     8aa82d6755fa       k8s_POD_prometheus-node-exporter-8rl7s_prometheus_103d8b91-309f-11e9-b964-005056a91740_0
                     ca77355305bd       k8s_coredns_coredns-86c58d9df4-bpkvp_kube-system_f6c29ae7-309e-11e9-b964-005056a91740_0
                     ec215d05c52c       k8s_tiller_tiller-deploy-dbb85cb99-zzkn7_kube-system_fe3733e8-309e-11e9-b964-005056a91740_0
                     e5506cee828b       k8s_coredns_coredns-86c58d9df4-477vf_kube-system_f6b8fc46-309e-11e9-b964-005056a91740_0
                     bb670f0e2725       k8s_POD_tiller-deploy-dbb85cb99-zzkn7_kube-system_fe3733e8-309e-11e9-b964-005056a91740_0
                     55777e8c46e4       k8s_POD_coredns-86c58d9df4-bpkvp_kube-system_f6c29ae7-309e-11e9-b964-005056a91740_0
                     edd8aa848602       k8s_POD_coredns-86c58d9df4-477vf_kube-system_f6b8fc46-309e-11e9-b964-005056a91740_0
                     b3e55601811b       k8s_weave-npc_weave-net-sk8w6_kube-system_f6b1d46d-309e-11e9-b964-005056a91740_0
                     b9123cd86e56       k8s_weave_weave-net-sk8w6_kube-system_f6b1d46d-309e-11e9-b964-005056a91740_0
                     3b47612a4ddf       k8s_kube-proxy_kube-proxy-r5v5c_kube-system_f6b250d2-309e-11e9-b964-005056a91740_0
                     58a3105eb78f       k8s_POD_weave-net-sk8w6_kube-system_f6b1d46d-309e-11e9-b964-005056a91740_0
                     bde13e5fd278       k8s_POD_kube-proxy-r5v5c_kube-system_f6b250d2-309e-11e9-b964-005056a91740_0
                     bf1e33a600dd       k8s_etcd_etcd-hostname.local_kube-system_aaf41a2de5f6054f98e8846e116191eb_0
                     f9363fcc323e       k8s_kube-scheduler_kube-scheduler-hostname.local_kube-system_b734fcc86501dde5579ce80285c0bf0c_0
                     2ba66f42e449       k8s_kube-apiserver_kube-apiserver-hostname.local_kube-system_31305a146d9b4c5aab0182840128a57d_0
                     5fa996ec393a       k8s_kube-controller-manager_kube-controller-manager-hostname.local_kube-system_43bf25263b7036f8626365f45552fdba_0
                     bffa547d97cc       k8s_POD_etcd-hostname.local_kube-system_aaf41a2de5f6054f98e8846e116191eb_0
                     120d238c154c       k8s_POD_kube-scheduler-hostname.local_kube-system_b734fcc86501dde5579ce80285c0bf0c_0
                     ebf48857e4d1       k8s_POD_kube-apiserver-hostname.local_kube-system_31305a146d9b4c5aab0182840128a57d_0
                     0f1360227707       k8s_POD_kube-controller-manager-hostname.local_kube-system_43bf25263b7036f8626365f45552fdba_0


Macbook Pro
(0) [[email protected]:~] $ bash
Current Date:        Wed Feb 13 20:24:18 MST 2019
OS:                  Mac OS X 10.14.2 (18C54)
Kernel:              Darwin 18.2.0
HW Version:          MacBook Pro (13-inch, 2016, Two Thunderbolt 3 ports)
HW Serial:           XXXXXXXXXXXX
HW UUID:             ABFA244E-13EF-113E-9710-5187A382D92A
Uptime:              2 days hours
Load Average:        1.89 1.93 1.82
Processor:           Intel(R) Core(TM) i5-6360U CPU @ 2.00GHz
Core Count:          2
Virtual Cores:       4
Total Memory:        8.00 gigabytes
Memory Used:         8153M used (1892M wired), 38M unused.
Internal IP: (Tx/Rx: 179 MB/2705 MB)
Docker Version:      18.09.1
Macbook Air Retina
CM-Macbook-Air:~ $ ./
Current Date:        Sun Aug 18 15:14:47 MDT 2019
OS:                  Mac OS X 10.14.6 (18G87)
Kernel:              Darwin 18.7.0
HW Version:          MacBook Air (Retina, 13-inch, 2019)
HW Serial:           XXXXXXXXXXXX
HW UUID:             44BA58F7-F498-874A-8EFB-CE2D79885C10
Uptime:              1 day hours
Load Average:        2.12 2.04 1.91
Processor:           Intel(R) Core(TM) i5-8210Y CPU @ 1.60GHz
Core Count:          2
Virtual Cores:       4
Total Memory:        8.00 gigabytes
Memory Used:         8141M used (1739M wired), 50M unused.
Internal IP: (Tx/Rx: 354 MB/2717 MB)


While this may not be useful for many people, it is for me. By gathering a little information up front you can easily save yourself some time later on by not hunting down system information one command at a time, especially in troubleshooting or to include in bug reports.

The code for this post can be found here; As always, for questions or comments please contact me via email or via twitter.