# Install Node Modules:
npm install
# Install the Science Tap:
brew tap homebrew/science
# Install R:
brew install r
# Install ggplot2:
R
install.packages("ggplot2")
- Within your chrome web browser, navigate to your application (http://www.myapp.com)
- Open the Chrome Dev Tools : Network Tab
- Refresh
- Right-click the file for the
document
Type "www.myapp.com" and select "Save as HAR with Content" - Save the .har (ideally save the file within the the "bench-backburner/.." dir.
- Within "bench-backburner/server.ts" update
const HAR_FILE =
with the location of the saved .har file and save.
# Launch the server
npm run-script serve
# In a new terminal tab/window launch the benchmark
npm run-script bench
# Once the benchmark runner runs 50x (default) and completes launch the report
./report.R