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Profiling Slow ActiveJob Queues in Rails 7.1 CI/CD Pipeline

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ruby-on-rails sidekiq performance ci-cd Ruby

I'm refactoring my project and Quick question that's been bugging me - Recently started working with a Rails 7.1 application where we leverage ActiveJob for background processing... While monitoring performance, I noticed that our job queues are significantly slowing down, especially during peak CI/CD pipeline runs. The jobs often take longer than expected to execute, leading to timeouts and impacting our deployment schedules. In our setup, we're using Sidekiq for job processing, and I’ve implemented the following performance tweaks: 1. **Concurrency Settings**: Adjusted the concurrency settings in the Sidekiq configuration to utilize more worker threads. Here’s the relevant snippet: ```ruby Sidekiq.configure_server do |config| config.options[:concurrency] = 25 # Experimented with values up to 50 end ``` 2. **Database Indexing**: Ensured that the models used in the jobs have the appropriate indexes. For example, I added an index to the `user_id` in the `notifications` table: ```ruby add_index :notifications, :user_id ``` 3. **Job Prioritization**: Implemented job prioritization to ensure that critical jobs are processed first. Using Sidekiq’s priority feature, I tried categorizing jobs based on their urgency. Despite these adjustments, performance profiling indicates that jobs still take longer than they should, particularly those with complex database queries. Here’s an example of a job that’s been underperforming: ```ruby class SendNotificationJob < ApplicationJob queue_as :default def perform(notification) # Simulating a complex query User.where(active: true).each do |user| NotificationMailer.send_notification(user, notification).deliver_later end end end ``` Running the `rails db:profiler` command revealed that the `User.where(active: true)` query is consuming a lot of time due to the sheer number of users in the database. I’m considering whether employing eager loading or caching might help alleviate this bottleneck. Additionally, I’ve explored Sidekiq’s web interface to check for any slow jobs and retry failures, which led me to believe that certain jobs might be competing for resources. Has anyone successfully optimized ActiveJob performance in a CI/CD context? Any insights on limiting job contention or additional strategies for profiling would be greatly appreciated! I'm working on a application that needs to handle this. Is there a better approach? This issue appeared after updating to Ruby 3.10. Thanks for taking the time to read this!