9f84e6a17a | ||
---|---|---|
demo | ||
.gitignore | ||
README.md | ||
circbuffer.go | ||
circbuffer_test.go | ||
csv.go | ||
data.go | ||
dumpsys.go | ||
dumpsys_test.go | ||
main.go | ||
meminfo.go | ||
qtaguid.go | ||
qtaguid_test.go | ||
source.go | ||
source_adb.go | ||
source_local.go | ||
top.go | ||
ui.go |
README.md
StatusMonitor
Simple command line app for monitoring CPU of the Status.im application running on the device (or simulator).
TODO:
- iOS support
- Add more metrics (memory, custom expvars, etc)
- Optimize for higher frequencies (now 1s resolution)
Installation
Just:
go get github.com/status-im/statusmonitor
Usage
Just run statusmonitor
binary. It will automatically connect to your device using adb
, find the Status.im PID and start collecting data:
./statusmonitor
Press q
to exit.
If you want to analyze data after, use -csv
switch — all data will be written in the CSV file. Name of the file is autogenerated in form 20160102_150405.csv
in the current folder.
Plot CSV with R
To analyze the data, you may use R lang. Here is a sample code that works well in R Studio:
Load data and convert UNIX timestamps into R's POSIXct object:
df = read.csv("~/Downloads/data.csv")
df$timestamp = as.POSIXct(df$timestamp, origin="1970-01-01")
Draw the plot:
plot(df, type="l", main="status CPU usage", col = 'green', lwd=2, cex.main=1.5, cex.axis=1, xlab="time", xaxt="n")
axis.POSIXct(1, df$timestamp, format="%H:%M:%S")
or interactive version with plotly:
library(plotly)
plot_ly(df, x = df$timestamp, y = df$cpu, type = 'scatter', mode = 'lines', fill = 'tozeroy')