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posthog/bin/docker-server
Harry Waye 3813795d22
chore(gunicorn): increase thread count for workers (#11507)
* chore(gunicorn): increase thread count for workers

We currently run with 2 worker processes each with 4 threads. It seems
occasionally we see spikes in the number of pending requests within a
worker in the 20-25 region. I suspect this is due to 4 slow requests
blocking the thread pool.

I'd suggest that the majority of work is going to be IO bound, thus it's
hopefully going to not peg the CPU. If it does then it should end up
triggering the HPA and hopefully resolve itself :fingerscrossed:

There is however gzip running on events, which could be intensive
(suggest we offload this to a downstream at some point). If lots of
large requests come in this could be an issue. Some profiling here
wouldn't go amiss.

Note these are the same settings between web and event ingestion
workload. At some point we may want to split.

I've added a Dashboard for gunicorn worker stats
[here](https://github.com/PostHog/charts-clickhouse/pull/559) which we
can monitor to see the effects.

Aside: if would be wise to be able to specify these settings from the
chart itself such that we do not have to consider chart/posthog version
combos, and allow tweaking according to the deployment.

* reduce to 8 threads
2022-08-26 10:36:40 +00:00

26 lines
718 B
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Executable File

#!/bin/bash
set -e
./bin/migrate-check
# To ensure we are able to expose metrics from multiple processes, we need to
# provide a directory for `prometheus_client` to store a shared registry.
export PROMETHEUS_MULTIPROC_DIR=$(mktemp -d)
trap 'rm -rf "$PROMETHEUS_MULTIPROC_DIR"' EXIT
export PROMETHEUS_METRICS_EXPORT_PORT=8001
export STATSD_PORT=${STATSD_PORT:-8125}
exec gunicorn posthog.wsgi \
--config gunicorn.config.py \
--bind 0.0.0.0:8000 \
--log-file - \
--log-level info \
--access-logfile - \
--worker-tmp-dir /dev/shm \
--workers=2 \
--threads=8 \
--worker-class=gthread \
${STATSD_HOST:+--statsd-host $STATSD_HOST:$STATSD_PORT} \
--limit-request-line=8190 $@