Success Story

Stabilizing CI for a Large-Scale Ruby on Rails Monolith

Improved test reliability, reduced wasted developer time, and enabled faster, more confident releases across the client’s engineering teams.
+25%
pipeline stability (from ~70% to over 95%) success.
Faster delivery
with fewer reruns, quicker releases, and higher confidence.

Technologies

Technologies

Expertise

Expertise
Client Overview

Construction Software Company

NDA

Our client is a leading global platform that helps organizations manage construction projects more effectively. Its cloud-based solutions unify teams, simplify collaboration, and enable informed decision-making throughout the entire project lifecycle.

Industries:

Construction SaaS, Project management software

Country:

USA
NDA
Challenges

Flaky Tests Blocking Releases

The client’s Ruby on Rails monolith supported millions of lines of code, but its CI pipeline was unstable—slowing teams and creating business risk.
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High failure rates

Pipelines failed frequently because of recurring flaky tests, leaving teams unsure whether failures were real or false positives.
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Developer frustration

Engineers lost hours rerunning broken builds, creating frustration and lowering overall engineering productivity.
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Release risk

Unstable CI pipelines often blocked releases, causing delays for new features and urgent hotfixes.
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Scaling challenges

The massive Ruby on Rails monolith made debugging and root-cause analysis of failures slow and complex.
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Why They Chose Us

Proven Expertise in CI/CD Stabilization

The client partnered with Zoolatech for our ability to improve engineering productivity by tackling complex CI/CD challenges at scale.
Tailored AI strategy for each client

CI/CD mastery

Zoolatech’s team specializes in stabilizing pipelines for enterprise-scale systems, with deep knowledge of Ruby on Rails, Docker, and automation frameworks.
Tailored AI strategy for each client

Productivity-driven approach

We focus on measurable impact—reducing wasted developer hours, improving release velocity, and delivering reliable pipelines that support long-term growth.
Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.

2017

Year Founded

600+

Employees

96%

Client Satisfaction
Workflow

Systematic Effort to Eliminate Flaky Tests

Zoolatech followed a phased approach over six months, combining root-cause analysis, test fixes, and process guardrails to restore CI reliability.
Phase 1

Audit and categorization

Identified 20+ recurring flaky test patterns, mapped their causes, and prioritized fixes based on business impact.
Phase 2

Test fix campaign

Systematically resolved over 1,000 flaky test examples across the Ruby on Rails monolith, improving stability step by step.
Phase 3

Guardrails implementation

Introduced Rubocop rules at the PR level to block known bad practices and prevent new flaky patterns from entering the codebase.
Phase 4

Baseline reset

Reduced reliance on reruns by establishing a clean, consistent baseline that developers could trust for feedback.
Phase 5

Monitoring and optimization

Tracked CI health and success rates across branches, ensuring improvements held up under real-world usage.
Fixed over 1,000 flaky tests and added automated guardrails, raising CI pipeline success from ~70% to 95%+ and enabling faster, more reliable releases.
Solution

CI Stabilization Through Automation and Guardrails

Zoolatech blended tactical fixes with preventive measures to deliver long-term stability and higher developer confidence.
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1,000+ flaky tests fixed

Addressed a backlog of unstable test cases and recurring failure patterns that had undermined pipeline reliability.
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Automated guardrails

Added Rubocop rules at the PR stage, blocking poor practices and reducing the chance of new flaky tests being introduced.
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Cleaner baselines

Reset pipelines with stable test sets, cutting down reruns and ensuring that CI feedback could be trusted.
Results

Reliable CI/CD at Scale

The client achieved major gains in CI stability, cutting wasted effort and enabling faster delivery cycles.
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95% pipeline success

Master and release branches improved from ~70% to over 95% success rates, making pipelines consistently reliable.
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+15% feature branch stability

Success rates rose from ~60–65% to 75–80%, reducing failed builds and accelerating merge cycles.
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Developer time saved

Engineers spend far less time rerunning flaky tests or debugging false failures.
Business Value

Engineering Teams Regained Velocity

With CI stabilized, the client’s developers could shift focus from firefighting builds to delivering features and customer value.
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Confidence in delivery

Reliable pipelines gave engineering leaders assurance that releases would pass consistently, reducing risk and delays.
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Productivity gains

Developers reclaimed time previously lost to flaky tests, enabling faster feature delivery and higher morale.