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Dashboards, monitoring and alerting — right from your terminal !!!

by sqshqAugust 2nd, 2019

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Meet Sampler - command-line UI for any shell commands, written in pure Go. Almost all metrics you might want to monitor and visualize are available through the command line. Sampler is basically a 3-step process:Define your configuration in a YAML file and run sampler -c your-config-file.yml.Adjust components size and location on UI on UI. Dashboards, monitoring and alerting — right from your terminal!!! 2,736 reads.

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As a backend developer, I always need to monitor something. State machine in the database, records count, message queue lag, custom application metrics, system performance, progress of my deployment scripts. Tons of stuff!

For a long time I was trying to find a tool which can save me time — will be able to keep everything in one place, and notify me when needed. Heavy production monitoring systems can't help with the development tasks, I needed a swiss army knife - something that can be configured in a minute and give me the results right away.

There were no such thing, so I wrote my own. Meet Sampler - command-line UI for any shell commands, written in pure Go.

For installation, just follow the instructions for macOS, Linux or Windows

How does it work?

The idea is very simple - almost all metrics you might want to monitor and visualize are available through the CLI:

The obvious ones: CPU, memory, disk space, network
Telemetry from a remote machine via SSH
Any database metrics and results of your custom queries
Kafka, RabbitMQ, ActiveMQ
Everything available via http, e.g. Spring Boot Actuator metrics
Docker
JMX

That means we can create our dashboards without complex integrations, drivers and dependencies. We can do it right from the terminal.

Using Sampler is basically a 3-step process:

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

Examples. Visualizations and their YAML configuration

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

There is more!

Interactive shell support, PTY mode, triggers, alerts and variables. Real-world recipes to work with MySQL, PostgreSQL, MongoDB, Neo4J, Kafka, SSH and JMX. You can read all about advanced capabilities in the documentation.

Don't hesitate to ask questions, contribute and ⭐ star ⭐ the project on Github!