Here's the situation:

• You've got an HTTP server that generally works quite well.
• Sometimes, it goes rogue and consumes 100% of a CPU as it gets stuck into a loop. You will track down and fix this, but in the meantime it shouldn't harm other requests.

http-server-stabilizer solves this problem by doing three simple things:

1. Running multiple copies of your HTTP server and acting as a reverse-proxy to them.
2. Dividing requests do the copies randomly.
3. When a request takes longer than a specified amount of time, that server subprocess is restarted.

Install Go, then:

go get -u github.com/slimsag/http-server-stabilizer

See the releases tab for prebuilt linux/amd64 binaries.

http-server-stabilizer [options] -- yourcommand -youroption true

Consult http-server-stabilizer -h for options.

The following starts an HTTP server which responds to GET / requests and randomly consumes 100% CPU:

http-server-stabilizer -demo -demo-listen ':9091'

If you make multiple curl http://localhost:9091 requests, you'll find the web server quickly consumes all available CPUs. Making use of http-server-stabilizer, we can prevent this:

http-server-stabilizer -- http-server-stabilizer -demo -demo-listen ':{{.Port}}'

The -timeout=10s flag can be used to control how long rogue requests can go for. You can also control the timeout via a request header: X-Stabilize-Timeout: 20s.

All responses include a X-Worker header which is a PID correlating to the http-server-stabilizer worker PID for debugging purposes (so you can trace a specific request back to a specific worker process).

A Prometheus metric indicating how many worker restarts occur is also exposed at :6060/metrics. For example, with -prometheus-app-name="myapp" the metric myapp_hss_worker_restarts will be exposed.