Sandboxed Integration Testing for Cloud Updates
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Solution Overview
Problem
Integration scenario regression testing in customer landscapes faces challenges due to inadequate testing, leading to regression errors when updated integration tools or content are deployed, as the development team lacks knowledge of how the integration content is developed and used by customers, and customers are reluctant to provide full test data for security and practical reasons.
Innovation Solution
The integration flow unit framework within the CPI middleware layer enables customers to create test cases within their own landscape, allowing for local simulation of integration scenarios using customer-specific data, thereby isolating and validating test cases without exposing sensitive information, and executing these tests before finalizing updates to ensure compatibility and roll back if issues arise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If integration testing is performed using customer-specific data in a real customer environment, then testing accuracy and reliability are improved, but customer data security and privacy are compromised
Solution Approach 1:
The patent introduces a sandbox environment as an intermediary between the customer's real environment and the testing process. This sandbox acts as a safe isolation layer where test cases can be executed with customer-specific data without exposing the actual customer environment to security risks. The sandbox environment receives and processes test requests, executes them in isolation, and returns results without allowing direct access to sensitive customer systems.
Solution Approach 2:
The patent creates a copy of the customer's integration scenario within the sandbox environment for testing purposes. Instead of directly testing in the customer's real environment, the system replicates the necessary components and data structures in the sandbox, allowing comprehensive testing without compromising the actual customer system or data security.
2Reliability
If regression testing is performed before deploying updates, then update reliability is improved, but testing time and deployment time increase
Solution Approach 1:
The patent implements preliminary regression testing in the sandbox environment before updates are deployed to the customer's production system. Test cases are prepared and executed in advance in the isolated sandbox, identifying potential issues before they affect the actual customer environment. This preliminary action ensures that only validated updates are deployed, reducing the need for post-deployment fixes and rework.
Solution Approach 2:
The patent enables rapid iteration of test cases in the sandbox environment, allowing multiple test scenarios to be executed quickly without the overhead of full deployment cycles. The sandbox allows testers to skip lengthy setup and teardown procedures by maintaining persistent test configurations, thus accelerating the regression testing process while still ensuring thorough validation.
3Manufacturing precision
If the development team accesses customer environments to understand integration scenarios, then testing coverage is improved, but customer environment stability is compromised
Solution Approach 1:
The patent segments the testing function from the customer environment by creating a separate sandbox system. The sandbox contains all necessary components to replicate customer integration scenarios, allowing the development team to conduct comprehensive testing without accessing or interfering with the actual customer environment. This segmentation enables full testing coverage while maintaining complete environmental stability.
Solution Approach 2:
The sandbox serves as an intermediary that allows the development team to study and test integration scenarios without direct access to customer systems. The sandbox replicates the customer's integration landscape, enabling thorough analysis and testing while acting as a buffer that prevents any potential instability from affecting the actual customer environment.
4Manufacturing precision
If customers provide full test data for integration testing, then test completeness is improved, but data privacy and security exposure increase
Solution Approach 1:
The sandbox environment acts as an intermediary that accepts and processes customer test data without exposing it to external systems or personnel. Customers can provide test data to the sandbox with confidence that it remains isolated and protected, enabling complete testing while maintaining data privacy through the sandbox's isolation boundaries.
Solution Approach 2:
The system creates copies of customer data structures and configurations within the sandbox environment for testing purposes. These copies allow complete testing of integration scenarios using realistic data models without exposing actual sensitive customer information. The sandbox handles these copies in complete isolation, ensuring data privacy while achieving test completeness.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for executing integration scenario regression tests in customer landscapes. One example method includes identifying a request to create a test case for an integration scenario for a cloud platform customer. The test case is created for the scenario, including enabling the test case to run in an isolated customer environment specific to the customer. An update to the cloud platform is identified. The update is provisionally applied to the cloud platform for the customer. The test case is executed in the isolated customer environment, to test the scenario for the customer. A determination is made as to whether execution of the test case succeeded. In response to determining successful test case execution, the update to the cloud platform is finalized for the customer. In response to determining unsuccessful test case execution, the update is rolled back for the customer.