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A Guide to Performance Engineering in Continuous Integration

<span id="hs_cos_wrapper_name" class="hs_cos_wrapper hs_cos_wrapper_meta_field hs_cos_wrapper_type_text" style="" data-hs-cos-general-type="meta_field" data-hs-cos-type="text" >A Guide to Performance Engineering in Continuous Integration</span>

Date 29 June 2026

Author Team Capacitas

Continuous Integration is designed to ensure quicker delivery of changes to production. But we still need to ensure these changes meet perform to expectation. How can we deliver performance assurance in the fast moving world of CI ?

There are 4 key ingredients:

  1. Automation
  2. Risk-driven approach
  3. Performance engineering strategy
  4. Smart test analysis

1. Automation

In a CI environment, speed and accuracy are some of the biggest challenges. You need to keep up with the increased level of change, but ensure that you are not creating noise. Automation of test execution and test analysis can give you this edge.

 

2. Risk-driven approach

A risk-driven approach ensures that you only concentrate on the sources of performance risk and can help you to keep up with the velocity of change. Not all changes need to be tested. This goes hand in hand with automation as automating the testing process should free up the time to spend on assessing risk. There are 6 key sources of performance risk for which each change should be assessed and appropriate mitigation actions designed:

6 pillars of software performance

3. Performance engineering strategy

Define a strategy for testing in continuous integration. This could mean mitigating medium/low risks through gradual rollouts, monitoring in production, modelling or production testing. This video describes the strategy used at Arcadia

 

 

4. Smart test analysis

Pattern matching is a technique the should speed up the traditionally lengthiest part of the performance engineering process; analysis. By using these techniques and defining what “good” looks like, we can automate the process of finding “bad”:

smart analysis

The next step is then to take that one step further with smart analysis, and using machine learning to gradually perfect the pattern matching process, reducing the frequency of false positive results.

 

Team Capacitas
About the author

Team Capacitas

Capacitas is a cloud and AI value partner. We translate rapid technological change into enduring commercial advantage by converting every unit of compute into enterprise value.

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