Analyze Ruby code performance with Datadog Continuous Profiler
Datadog | The Monitor blog

Analyze Ruby code performance with Datadog Continuous Profiler


Summary

The article "Optimizing Ruby performance: Observations from thousands of real-world services" reveals that slow database queries are overwhelmingly the biggest performance bottleneck in Ruby applications, accounting for over 80% of response time. Beyond databases, the study highlights that external service calls and Ruby code itself contribute significantly less to overall slowness when properly optimized. The authors recommend focusing on database optimization—indexing, query tuning, and caching—as the most impactful strategy for improving Ruby application performance at scale.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
DASH 2026: Guide to Datadog’s newest announcements
DASH 2026: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 220 views

2
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 192 views

3
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 110 views

5
Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog
Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog

Datadog | The Monitor blog Apr 9, 2026 104 views