First analysis

We're now ready to profile one of the example applications. For the first example, we will use slow-event-loop. First, let's confirm that it is ready and working by running node slow-event-loop from inside the examples directory. Once the process seems to be running we can visit http://localhost:3000/ in a browser to check.

We should see some basic output in the browser, like {}. Ctrl-C in the command line to close the slow-event-loop server.

This is a server, so we need to apply load. Profiling a server handling just one request doesn't give us much data or indication of how it performs when handling many requests. We recommend the benchmarking tool Autocannon.

We will execute autocannon in the example application directories when we call the clinic executable, so let's install it globally, with the following command:

npm install -g autocannon

To load-test the server, we want to run it with Doctor, and point autocannon at it as soon as it starts listening on a port. This will bombard the server with requests, as soon as it is ready to handle them and Doctor is ready to collect data.

Let's do all that with this single command, which automatically assigns the correct ports:

clinic doctor --on-port 'autocannon localhost:$PORT' -- node slow-event-loop

Let's break this command down:

  • The clinic doctor portion invokes the doctor command tool.
  • The --on-port flag will execute the supplied script as soon as the server starts listening on a port.
  • The $PORT variable in that script is set to the first port that the server began listening on.
  • Everything after the double-dash (--) is the command which starts the server that we want to profile, in this case node slow-event-loop.

This one command runs three executables: the clinic doctor parent executable, the autocannon executable in --on-port and the node executable.

Upon running the command, the slow-event-loop server will be hit by requests from 10 concurrent connections for 10 seconds (as per autocannon defaults). then the results be compiled into a single HTML file that should automatically open in the browser.

The resulting HTML should look similar to the following:

Doctor profile screenshot


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