dosubot[bot] commented on issue #8626:
URL: 
https://github.com/apache/incubator-devlake/issues/8626#issuecomment-3469082274

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   Hi @suchetanvg! I'm [Dosu](https://go.dosu.dev/dosubot) and I’m helping the 
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   Slow SonarQube pipeline stages in DevLake with large numbers of data scopes 
are a known challenge, especially at enterprise scale. The main bottleneck is 
often the single runner processing projects sequentially, which limits 
parallelism and causes long runtimes for each stage. Increasing container 
memory (at least 6GB), optimizing database indexes, and enabling shallow 
cloning (where applicable) have helped others speed up pipelines with large 
data sources. For very large scopes, reducing the scope of data collection 
(like limiting date ranges) or lowering page size (if configurable) can also 
help mitigate performance issues. Collecting backend logs during slow stages 
can help pinpoint bottlenecks. These strategies have been discussed in detail 
by other users running DevLake at scale 
[here](https://github.com/apache/incubator-devlake/issues/8448), 
[here](https://github.com/apache/incubator-devlake/issues/8596), and 
[here](https://github.com/apache/incubator-devlake/discussions/857
 6).
   
   
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