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615d2da4c8
"possibly expensive" turned out to be "actually expensive". On 'emu', with 1.5M events, the counts take 85 and 154 ms for Project and Issue respectively; bottlenecking our digestion to ~3 events/s. Note: this is single-issue, single-project (presumably, the cost would be lower for more spread-out cases) Note on indexes: Event already has indexes for both Project & Issue (though as the first item in a multi-column index). Without checking further: that appears to not "magically solve counting". This commit also optimizes the .count() on the issue-detail event list (via Paginator). This commit also slightly changes the value passed as `stored_event_count` to be used for `get_random_irrelevance` to be the post-evication value. That won't matter much in practice, but is slightly more correct IMHO.
Bugsink: Self-hosted Error Tracking
Bugsink offers real-time error tracking for your applications with full control through self-hosting.
Screenshot
This is what you'll get:
Installation & docs
The quickest way to evaluate Bugsink is to spin up a throw-away instance using Docker:
docker pull bugsink/bugsink:latest
docker run \
-e SECRET_KEY={{ random_secret }} \
-e CREATE_SUPERUSER=admin:admin \
-e PORT=8000 \
-p 8000:8000 \
bugsink/bugsink
Visit http://localhost:8000/, where you'll see a login screen. The default username and password
are admin.
Now, you can set up your first project and start tracking errors.
Detailed installation instructions are on the Bugsink website.