A Leading VoIP Provider Cuts Down Manual Regression Effort by 80% with End-to-End API Automation Based on Golang
Learn how QASmartz developed an automation framework based on Golang, which automated end-to-end API testing for more than 500 endpoints, reduced test time greatly, and increased product reliability manifold for the client.
Industry
Cloud Communications, VoIP Technology
Location
Global
Deliverables
API Automation Framework, CI/CD Integration, Parallel Execution, Regression Optimization, Environment Management
Client Overview
The client is one of the major providers of white-label VoIP platforms that empower managed service providers (MDR) with cloud-based communication solutions. The backbone of their platform is a huge ecosystem comprising over 500 REST APIs, which cover everything from user provisioning and billing operations to routing configurations and real-time communications.
Business Challenges
Before partnering with QASmartz, the client struggled with speed and consistency issues due to performing
regression testing in a completely manual way. Major challenges were:
regression testing in a completely manual way. Major challenges were:
Increasing API Volume & Change Frequency
The frequency of API releases across provisioning, billing, routing, and communication modules overwhelmed the capacity for manual testing.
Slow and Inefficient Regression Cycles
Manual execution of hundreds of API tests delayed deployment cycles and reduced confidence in releases.
Limited Test Coverage
Manual validation couldn’t scale to cover the full breadth of 500+ APIs across multiple environments.
Multi-Environment Complexity
API testing was required on staging, pre-production, and production-mirror environments, which may come with data synchronization and configuration.
Higher Risk of Production Issues
Gaps in test coverage increased the chance of defects slipping into production and ultimately affecting end users.
Our Comprehensive Solutions
QASmartz built a high-performance, scalable, and fully automated API testing ecosystem suitable for the VoIP domain.
The key solutions were:
The key solutions were:
Golang-Based API Automation Framework
Designed a robust, modular automation framework in Golang, enabling high-speed API execution, low memory overhead, request module reusability, & configuration of test suites.
Parallel Execution & Environment Management
Switched on parallel test execution to boost the speed of regression runs. Reduced bottlenecks in execution by optimizing thread management and ensured consistent test behavior using environment-specific configs.
CI/CD Pipeline Integration
Integrated the automation framework with the client’s DevOps pipeline by running automated tests for early detection, performing a trigger validation with every pull request, and enabling a clearly indicated pass/fail vision before merging.
Results & Improvements
QASmartz’s testing and automation strategy unlocked measurable improvements in release quality and cycle efficiency. Key outcomes included:
Tech Stack Used
QASmartz built a high-performance, scalable, and fully automated API testing ecosystem suitable for the VoIP domain.
The key solutions were:
The key solutions were:
Quality Engineering & Automation
- Golang-based API Automation Framework
- REST API Validation Tools
- CI/CD Integration (Git-based pipelines)
DevOps & Execution
- Parallel Execution Setup
- Environment-Specific Configuration Management
Key Takeaway
QASmartz designed and developed a comprehensive automated API testing framework in Golang. This transformed the client’s
QA process from being manual, slower, and error-prone to one that was fast, scalable, and completely automated.
The end result was higher product stability, faster releases, and dramatically lower manual efforts.
QA process from being manual, slower, and error-prone to one that was fast, scalable, and completely automated.
The end result was higher product stability, faster releases, and dramatically lower manual efforts.
Looking to automate your API ecosystem end-to-end?
Connect with QASmartz today!
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