spi-x-i / shee

A simple data visualization tool

shee

A simple dstat data visualization tool

Peel configuration

Just add dstat to your systems configuration, i.e.:

@Bean(name = Array("flink-1.0.3"))
  def `flink-1.0.3`: Flink = new Flink(
    version      = "1.0.3",
    configKey    = "flink",
    lifespan     = Lifespan.EXPERIMENT,
    dependencies = Set(ctx.getBean("dstat-0.7.2", classOf[Dstat])),
    mc           = ctx.getBean(classOf[Mustache.Compiler])
  )

Requirements

We require numpy >= 1.11, matplotlib >= 1.3.1, pandas >= 0.18. So either install these:

sudo pip install numpy
sudo pip install matplotlib
sudo pip install pandas

or upgrade them:

sudo pip install --upgrade numpy
sudo pip install --upgrade matplotlib
sudo pip install --upgrade pandas

Setup

git clone https://github.com/spi-x-i/shee.git
sudo python setup.py develop

Let's do some charts

Peel will save the dstats results in the following way:

../peel_bundle/results/suite/experiment.runXX/logs/dstat/dstat-0.7.2/

So let's jump there:

cd ../peel_bundle/results/suite/experiment.runXX/logs/dstat/dstat-0.7.2/

and create charts specific for every single node:

python -m shee

If you want to get charts aggregated for the whole cluster you can run:

python -m shee -O -a