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Astm
Astm

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Why your Ruby on Rails application has high CPU usage?

Have you ever received an alert saying:
CPU usage is above 90%

Or maybe one of your production servers suddenly became slow, requests started timing out, and users began reporting performance issues.

As Rails engineers, one of the most common production incidents we face is unexpectedly high CPU utilization.

The tricky part?
High CPU usage is rarely the actual problem.

It's usually a symptom of something else happening inside your application, infrastructure, database, background jobs, or even your code architecture.

I will explore the most common reasons behind high CPU consumption in Ruby on Rails applications.
won't go too deep into each topic because every single one deserves.

Let's get started with the reasons:

1. N+1 Database Queries

Typical Symptoms

  • Slow API responses
  • Increased database load
  • High application CPU usage

2. Missing Database Indexes

Typical Symptoms

  • Slow endpoints
  • High database CPU
  • Increasing request latency

3. Inefficient ActiveRecord Queries

Typical Symptoms

  • Excessive memory consumption
  • Long request execution times
  • CPU spikes during large queries

4. Expensive Background Jobs

Typical Symptoms

  • CPU spikes during scheduled jobs
  • Delayed Sidekiq queues
  • Increased worker execution times

5. Memory Pressure and Garbage Collection

Typical Symptoms

  • CPU spikes without increased traffic
  • Slow request processing
  • High GC activity

6. Excessive JSON Serialization

Typical Symptoms

  • API endpoints slower than expected
  • High CPU during response generation
  • Large response payloads

7. Traffic Spikes and Uneven Load Distribution

Typical Symptoms

  • Only specific nodes experience high CPU
  • Random server crashes
  • Uneven infrastructure metrics

8. External Service Bottlenecks

Typical Symptoms

  • Growing request queues
  • Increased response times
  • Thread pool saturation

9. Inefficient Caching Strategies

Typical Symptoms

  • Repeated database queries
  • CPU spikes during peak traffic
  • Reduced cache hit ratio

10. Ruby Code That Doesn't Scale

Typical Symptoms

  • CPU increases with data growth
  • Slow batch operations
  • Performance degradation over time

Final Thoughts
When CPU usage becomes high, avoid jumping directly to conclusions.
The real challenge isn't reducing CPU usage.
The real challenge is identifying what's consuming the CPU.
In future articles, we'll dive deeper into each of these topics, including:

  • Detecting N+1 queries in production
  • Database indexing strategies for Rails applications
  • Sidekiq performance tuning
  • Ruby Garbage Collection optimization
  • API serialization best practices
  • Infrastructure troubleshooting techniques

Remember:
High CPU is usually a symptom. Your job as an engineer is to find the disease.

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