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We were preemptively restarting the puma processes on our ruby on rails system to prevent them from running out of memory… until jemalloc. Few months back we upgraded on of our services from ruby 2.6.6 with rails 6.0.5.1 to ruby 3.2.2 with rails 7 and have noticed a slow but gradual increase of memory without any major change to the underlying application code. It looks like accessing connection pool methods, like release_connection or enable_query_cache
In our project we are your sendgrid to send emails and delayed job for queue purpose, i upgraded ruby to 2.7 ,rails to 6.0.3.6, delayed_job_active_record to 4.1.6 As a ruby on rails developer, i recently encountered a memory leak issue in one of my applications, and in this post, i will share my experience on how i found and fixed it. After upgrading we are noticing out of memory in aws container
Wanted to know whether it is because of memory leak
If it is because of memory leak what profiler i need to use to determine memory leak? In conclusion, memory leaks are a common problem in ruby on rails applications that can cause performance issues and crashes Clearly there was a combination of circumstances or a difference in our production setup i was overlooking Rbtrace to the rescue my next port of call was rbtrace, via sam saffron's excellent blog post on debugging memory leaks
The basic idea is to use rbtrace to run objectspace's debugging tools inside the rails app running in production. I'm developping a rails application that deals with huge amounts of data and it halts since it uses all memory of my computer due to memory leak (allocated objects that are not released) A story of finding, understanding, and fixing a memory leak in our rails app They can cause the application to become slower over time and eventually crash
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