Industry: Technology / Professional Services Services Provided: Code Refactoring, Deployment Optimization, Salesforce DevOps Enhancement


Salesforce Modules: Sales Cloud, Custom Apex Development 

Timeline: 6 Weeks 

Team: Solution Architect (1), Developers (2), QA Engineer (1) 

Overview

A leading technology services company struggled to meet Salesforce’s mandatory 75% test coverage threshold, blocking their production deployment.

Additionally, performance issues such as CPU timeouts and system latency disrupted user experience.

Aquarient Technologies stepped in to refactor, optimize, and test the Salesforce codebase ensuring compliance, stability, and improved performance.
  • Business Challenge
  • Our Solution

The existing Salesforce codebase suffered from performance and compliance gaps that hindered deployment readiness.

Key challenges included:

  • Custom code coverage below the 75% Salesforce deployment requirement
  • Frequent CPU timeouts and slow transaction processing
  • Lack of adherence to Salesforce best practices and naming conventions
  • Poorly structured unit tests and unoptimized logic impacting efficiency
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Aquarient implemented a comprehensive Code Optimization and Coverage Enhancement Program to achieve production-readiness.

Solution Highlights:

  • Code Refactoring: Rewrote inefficient Apex logic to reduce CPU load and improve runtime performance
  • Test Class Development: Expanded unit test coverage from 68% to 82%, exceeding Salesforce’s deployment standard
  • Performance Optimization: Reduced transaction latency through SOQL tuning and asynchronous processing
  • Standardized Practices: Enforced Apex, Trigger, and Governor Limit compliance using Salesforce best practices and design patterns
Ai Intellegence
Accelerators
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Why It Matters

By optimizing both code quality and system performance, the client: 
  • Ensured a smooth production deployment without rollback risks 
  • Enhanced developer productivity and simplified future maintenance 
  • Created a scalable Salesforce foundation for future releases and automation initiatives 
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Results & Business Impact

Outcome Impact
Code Coverage Achieved  Increased from below 75% to 82%, enabling successful production deployment 
Performance Improved  CPU timeouts fully eliminated; latency reduced by 40% 
Deployment Readiness  Seamless go-live with validated test results 
System Stability  Consistent, error-free performance in production 

Technologies Used

  • Salesforce Sales Cloud
  • Apex Triggers & Classes
  • SOQL & Asynchronous Processing
  • Salesforce Developer Console & CI/CD Pipeline
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