Overview
Our client has cemented its position as an industry leader by providing to timely services and maintaining public health standards for over a decade. As one of the leading North American waste handling companies, with over 50,000 employees and $15.2 billion in revenue, they recognized the need to enhance its software systems to manage tasks such as collections, waste disposal, logistics, inventory, and supply chain distribution.
The Challenge
Breaking Free from Legacy Testing Limitations
As customer expectations evolved and operational demands surged, the company needed to rethink how it built, tested, and deployed its technology. Instead of relying on traditional methods, they adopted a data-centric, outcome-driven approach to overcome testing challenges.
The digital ecosystem was built on a complex network of APIs and microservices, powering everything from customer portals to logistics management and even legacy applications. The company had two critical applications driving its day-to-day operations: a customer-facing e-commerce platform and an internal business process application.
These systems powered everything from service requests to route optimizations, and they were evolving fast. The problem? Testing wasn’t keeping up and cost the team a lot of time.
Manual API testing had once been sufficient, but with the explosion of new endpoints and frequent updates, the cracks started to show:
- Test Coverage Gaps: The team could only validate a fraction of their API interactions, leaving potential defects unnoticed. The testing infrastructure struggled to handle the growing complexity of their API ecosystem. Traditional tools were not designed to test the intricate interactions between microservices effectively.
- Slow Releases, Growing Risks: Each new release carried the risk of undiscovered bugs, as they were often discovered late in the development cycle affecting performance.
- Resource Strain: With engineers stretched thin, the testing process was eating into development time, forcing teams to choose between speed and quality.
For a company built on efficiency, this was a roadblock they couldn’t afford.
The Objective
Redefining The Testing Approach
The company started to explore on the possibility of a digital transformation journey, heavily relying on API enhancement to streamline workflows.
The leadership team knew they had to break free from the limitations of manual testing. Their goal was to implement a testing solution that could:
- Accelerate Testing Cycles: Reduce the time required for API testing without compromising on quality.
- Improve Test Coverage: Ensure comprehensive validation of API interactions, including edge cases and error handling.
- Accelerate deployment cycles without sacrificing quality, ensuring every update improved—not jeopardized—user experience.
- Scale with Growth: Build a testing framework capable of handling the increasing complexity of their microservices architecture.
After seeing qAPI seamlessly integrate into their processes and bring a refreshing change of pace, the waste handling company knew it was a trusted solution. Now, they were ready to turn this vision into reality.
The Solution
Intelligent Automation, Real-Time Insights
With qAPI’s AI-powered, codeless API testing platform the company was able to create customized workflows designed to eliminate bottlenecks and supercharge testing capabilities.
By leveraging automated testing, the company established a structured testing framework that enabled seamless collaboration across teams. This approach accelerated the detection and resolution of defects throughout the service journey, ensuring a more natural and effective development progression.
The implementation helped deploy:
- 4,500 Automated Test Scenarios: Within four months, the company automated thousands of test cases, covering 400+ API endpoints across SOAP and REST architectures.
- Dynamic Data Injection: Unlike traditional scripts, qAPI leveraged unique, randomly generated data to simulate real-world interactions and uncover hidden vulnerabilities.
- Seamless CI/CD Integration: The platform integrated directly into the company’s development pipelines, enabling automated test execution with every new build. With this process in place, teams had a comprehensive report of all of their systems within minutes of finishing a new build.
- Scalability Beyond APIs: Encouraged by success, the company expanded automation efforts into mobile and web testing, to eventually convert into a unified testing ecosystem.
- qAPI Process Testing: Integrations between different applications and systems were validated after being triggered after a new build.
The Impact
Testing The Impact of Custom API Testing Strategy
- Accelerated Release Cycles: Automated API testing reduced testing time by 40%, enabling faster deployment of new features and updates.
- Higher Software Quality: Comprehensive test coverage and early bug detection resulted in a 30% reduction in production defects, enhancing software stability and reliability.
- Seamless Team Collaboration: A unified testing platform improved communication and coordination across development teams, reducing misalignment and increasing efficiency.
- Scalability for Growth: qAPI’s scalable infrastructure ensured that the company’s testing framework could expand alongside its business, supporting long-term digital transformation.
- Operational Cost Savings: By minimizing manual testing efforts and late-stage defect resolution, the company significantly reduced development and maintenance costs.
About qAPI
qAP is the industry’s first End-to-End API Testing company that helps organizations achieve API protection in a cloud-first, API-driven world. We help businesses with innovative tools and services designed to streamline API testing, ensure reliability, and enhance application performance. Trusted by financial institutions, logistics companies, and many more worldwide, we help organizations create products and APIs they can depend on for seamless performance and integration.