Sampler : A Tool For Shell Commands Execution, Visualization & Alerting

Sampler is a tool for shell commands execution, visualization and alerting. Configured with a simple YAML file.

One can sample any dynamic process right from the terminal – observe changes in the database, monitor MQ in-flight messages, trigger a deployment script and get notification when it’s done.

If there is a way to get a metric using shell command – then it can be visualized with Sampler momentarily.

Installation

MacOS

brew cask install sampler

or

sudo curl -Lo /usr/local/bin/sampler https://github.com/sqshq/sampler/releases/download/v1.0.2/sampler-1.0.2-darwin-amd64
sudo chmod +x /usr/local/bin/sampler

Linux

sudo wget https://github.com/sqshq/sampler/releases/download/v1.0.2/sampler-1.0.2-linux-amd64 -O /usr/local/bin/sampler
sudo chmod +x /usr/local/bin/sampler

Note: libasound2-dev system library is required to be installed for Sampler to play a trigger sound tone. Usually the library is in place, but if not – you can in

stall it with your favorite package manager, e.g apt install libasound2-dev

Usage

You specify shell commands, Sampler executes them with a required rate. The output is used for visualization.

Using Sampler is basically a 3-step process:

  • Define your shell commands in a YAML configuration file
  • Run sampler -c config.yml
  • Adjust components size and location on UI

But there are so many monitoring systems already

Sampler is by no means an alternative to full-scale monitoring systems, but rather easy to setup development tool.

If spinning up and configuring Prometheus with Grafana is complete overkill for you task, Sampler might be the right solution. No servers, no databases, no deploy – you specify shell commands, and it just works.

Then it should be installed on every server I monitor?

No, you can run Sampler on local, but still gather telemetry from multiple remote machines. Any visualization might have init command, where you can ssh to a remote server.

Also Read – Goop : Google Search Scraper

Components

The following is a list of configuration examples for each component type, with macOS compatible sampling scripts.

Runchart

  • runcharts:
    • title: Search engine response time
    • rate-ms: 500 # sampling rate, default = 1000
    • scale: 2 # number of digits after sample decimal point, default = 1
    • legend:
      • enabled: true # enables item labels, default = true
      • details: false # enables item statistics: cur/min/max/dlt values, default = true
    • items:
      • label: GOOGLE
        • sample: curl -o /dev/null -s -w ‘%{time_total}’ https://www.google.com
        • color: 178 # 8-bit color number, default one is chosen from a pre-defined palette
      • label: YAHOO
        • sample: curl -o /dev/null -s -w ‘%{time_total}’ https://search.yahoo.com
      • label: BING
        • sample: curl -o /dev/null -s -w ‘%{time_total}’ https://www.bing.com

Sparkline

  • sparklines:
    • title: CPU usage
      • rate-ms: 200
      • scale: 0
      • sample: ps -A -o %cpu | awk ‘{s+=$1} END {print s}’
    • title: Free memory pages
      • rate-ms: 200
      • scale: 0
      • sample: memory_pressure | grep ‘Pages free’ | awk ‘{print $3}’

Barchart

  • barcharts:
    • title: Local network activity
      • rate-ms: 500 # sampling rate, default = 1000
      • scale: 0 # number of digits after sample decimal point, default = 1
    • items:
      • label: UDP bytes in
        • sample: nettop -J bytes_in -l 1 -m udp | awk ‘{sum += $4} END {print sum}’
      • label: UDP bytes out
        • sample: nettop -J bytes_out -l 1 -m udp | awk ‘{sum += $4} END {print sum}’
      • label: TCP bytes in
        • sample: nettop -J bytes_in -l 1 -m tcp | awk ‘{sum += $4} END {print sum}’
      • label: TCP bytes out
        • sample: nettop -J bytes_out -l 1 -m tcp | awk ‘{sum += $4} END {print sum}’

Gauge

  • gauges:
    • title: Minute progress
      • rate-ms: 500 # sampling rate, default = 1000
      • scale: 2 # number of digits after sample decimal point, default = 1
      • percent-only: false # toggle display of the current value, default = false
      • color: 178 # 8-bit color number, default one is chosen from a pre-defined palette
      • cur:
        • sample: date +%S # sample script for current value
      • max:
        • sample: echo 60 # sample script for max value
      • min:
        • sample: echo 0 # sample script for min value
    • title: Year progress
      • cur:
        • sample: date +%j
      • max:
        • sample: echo 365
      • min:
        • sample: echo 0

Textbox

  • textboxes:
    • title: Local weather
      • rate-ms: 10000 # sampling rate, default = 1000
      • sample: curl wttr.in?0ATQF
      • border: false # border around the item, default = true
      • color: 178 # 8-bit color number, default is white
  • title: Docker containers stats
    • rate-ms: 500
    • sample: docker stats –no-stream –format “table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}\t{{.PIDs}}”

Asciibox

  • asciiboxes:
    • title: UTC time
      • rate-ms: 500 # sampling rate, default = 1000
      • font: 3d # font type, default = 2d
      • border: false # border around the item, default = true
      • color: 43 # 8-bit color number, default is white
      • sample: env TZ=UTC date +%r
R K

Recent Posts

How OpenClaw Works

Imagine if you had a super-powered assistant who could automatically handle all the boring, repetitive…

7 hours ago

How to Use the Linux find Command to Locate Files Like a Pro

Managing files efficiently is a core skill for anyone working in Linux, whether you're a…

2 days ago

How to Check Open Ports in Linux Using netstat, ss, and lsof

Open ports act as communication endpoints between your Linux system and the outside world. Every…

2 days ago

Best Endpoint Monitoring Tools for 2026

Introduction In today’s cyber threat landscape, protecting endpoints such as computers, smartphones, and tablets from…

5 days ago

Best 9 Incident Response Automation Tools

Introduction In today's fast-paced cybersecurity landscape, incident response is critical to protecting businesses from cyberattacks.…

5 days ago

How AI Puts Data Security at Risk

Artificial Intelligence (AI) is changing how industries operate, automating processes, and driving new innovations. However,…

2 months ago