mfrancisc opened a new issue, #9058:
URL: https://github.com/apache/devlake/issues/9058

   We are sizing a DevLake deployment for a large GitLab estate and want to 
know whether a single instance is expected to handle this, and how we should 
configure projects/blueprints if so.
   
   **Scale**
   - One product org already has ~6,500 GitLab repos; we need to plan for tens 
of thousands across the company.
   - Teams are disjoint (no shared repos between team projects).
   - We still need org- and company-wide metrics (e.g. Cycle Time) from one 
database. We do not use Grafana; a metrics API reads the same MySQL.
   - Splitting into isolated DevLake+MySQL stacks would speed collection, but 
then we could not compute org- or company-wide Cycle Time with a single query 
against one database.
   
   _What we think is the intended setup (please correct us)_ : 
   - One lake process, one MySQL (we know a second instance on the same DB_URL 
hits the exclusive _devlake_locking_stub lock).
   - Many team-sized projects/blueprints (tens to ~150 repos each), not one 
project with 6,500 scopes.
   - PIPELINE_MAX_PARALLEL > 1, staggered crons, incremental sync, skip heavy 
gitextractor options if needed.
   
   **Questions**
   1. Has anyone run DevLake successfully at a few thousand GitLab repos on one 
instance? What project size, PIPELINE_MAX_PARALLEL, and sync policy actually 
worked?
   2. Is the guidance above right, or is there a better project/blueprint 
layout for this?
   3. At this scale, is the bottleneck expected to be the single runner 
(sequential blueprints / sequential GitLab stages) rather than MySQL?
   4. If one instance cannot keep a daily incremental cycle, is the intended 
path still “more hardware on one process”, or is multi-instance sharing one DB 
something the project would consider? 
   
   Related: #8448, #8802, #8260


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