GitHub user bamaer added a comment to the discussion: HOP Sizing

in addition to what Hans mentioned, make sure your pipelines are optimized 
before throwing more (virtual) hardware at them: 

- Measure what your actual resource usage is (rows per second, memory and CPU 
usages, ...) and tweak your scaling accordingly. You may be able to scale down 
if you only use 30% of the available RAM, Xmx or CPU.   
- Identify bottlenecks in your pipelines, fix the worst offenders and readjust 
your scaling needs accordingly. E.g. adding memory won't help if your pipeline 
is slow because of missing database indexes
- Tweak for the resources you have available. A larger box that runs your big 
pipelines a lot faster in a short-lived container or pod may be cheaper than a 
smaller container or pod that needs more time to run

GitHub link: 
https://github.com/apache/hop/discussions/4586#discussioncomment-11304536

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