GIS Sector
How Global GIS Leader saved $200k costs with Falcon Scan
Project Overview
The Challenges
Inconsistent Quality
It was challenging to maintain constant code quality due to developers with varying degrees of experience, including beginners.
Manual Code Reviews
Hundreds of MuleSoft projects have made manual code reviews time-consuming and impractical.
Multi-stage Review Process
One to two rounds of reviews were needed, with an additional sanity check for junior developers. This added significant time to the development cycle.
Enforcing Standards
Ensuring all developers followed the company’s unique error handling and logging standards was difficult.
The Solutions
We presented Falcon Scan, an effective tool that offers an extensive library of pre-built rules designed especially for MuleSoft applications. Automatically enforcing best practices and standards, greatly decreased the number of common coding errors and ensured a higher quality of code, which helped simplify the development process.
We made it possible for custom rules to be created in Falcon Scan because we understood the special requirements of our client’s framework. This allowed their team to develop and put into practice exact logging and error-handling rules that were suited to their development framework.
Our Continuous Integration/Continuous Deployment (CI/CD) framework was integrated with SonarQube. Enforcing code quality at every step of the build process required this integration.
SonarQube contributed to maintaining a high degree of code quality by automatically checking the code for problems and vulnerabilities during each build. This facilitated easier deployments and decreased the possibility of errors in production.
We implemented real-time feedback mechanisms to help our developers even further. This enabled developers to identify and fix problems as they coded.
Real-time feedback facilitated faster troubleshooting and more effective coding techniques by offering instant insights and notifications on any issues. This ultimately resulted in faster development cycles and more dependable software.
The Results
They experienced significant improvements with the implementation of the Falcon Scan:
Overall, the team’s ability to maintain code quality improved, allowing them to manage their extensive portfolio of 266 projects more effectively.
The review process was streamlined from several days to an hour-long meeting, allowing the team to allocate more time to other critical tasks and enhancing overall productivity.
A more stable and dependable codebase that was simpler to maintain and update resulted from implementing custom rules inside Falcon Scan, which also significantly reduced errors and guaranteed consistent coding standards.
Real-time feedback reduces the back-and-forth involved in debugging and revisions by enabling developers to address problems immediately. Deliverables of superior quality and quicker development cycles were the outcomes of this proactive strategy.
Simplified evaluations and prompt feedback promoted enhanced teamwork and communication, allowing the emphasis to move to more strategic development elements and fostering a more harmonious work atmosphere.
Efficiency gains and shorter review times resulted in considerable cost savings that allowed the project to be completed more quickly with fewer resources—resources that could then be used for more innovation and expansion.
Project Cost
Before the implementation of the Falcon Scan, the manual code review process incurred significant costs. Each project required one day of a developer’s time to fix issues, amounting to $133,000 for 266 projects. Additionally, four out of ten developers participated in code reviews, dedicating one hour per project, which totaled 1,064 hours or 133 days, resulting in a reviewer cost of $106,400. Consequently, the total cost for manual reviews was $239,400. Custom rule development for the Falcon Scan took 15 days at $500 per day, costing $7,500.
After adopting the Falcon Scan, the costs significantly decreased. The automated system eliminated the need for developer fixing time and reviewer time, leading to zero costs in these areas. The only costs involved were the one-time custom rule development cost of $7,500 and the annual Falcon Scan license fee of $30,000. The total automated review cost was $37,500, resulting in total savings of $201,900, which is an 84.3% reduction in costs compared to the manual review process.
Conclusion
The implementation of the Falcon Scan and its integration with the CI/CD system enabled the customer’s Integration Team to effectively overcome their code quality challenges. This approach allowed them to enforce coding standards, give developers real-time feedback, and significantly improve the overall quality of their MuleSoft integrations.
The team’s experience emphasises how crucial it is to use automated procedures in complicated development settings to uphold high standards.
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