Staging Service for Artifact Release Readiness
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Solution Overview
Problem
The complexity of managing software deployments across multiple nodes and environments, especially in enterprise software development and cloud-based SaaS platforms, makes it challenging to determine whether new software versions are ready for release in production landscapes due to intricate security configurations and authentication requirements.
Innovation Solution
The system creates staging repositories for managing deployed artifacts during test execution, allowing for successful delivery to a production environment by invoking a staging service to store and process artifacts, evaluating their performance, and determining their readiness for release based on metadata analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complete landscape evaluation through integration tests is performed for every new software version, then release reliability is improved, but deployment time and complexity increase
Solution Approach 1:
The patent creates staging repositories in advance before actual software releases. These pre-configured repositories with predefined profiles allow for preliminary evaluation of software artifacts without requiring complete landscape integration tests for every release, thus reducing deployment time while maintaining reliability through pre-established validation frameworks
Solution Approach 2:
The patent segments the deployment process by creating multiple staging repositories with different profiles (e.g., dev, test, prod) that can be evaluated independently. This segmentation allows selective testing of specific artifacts against relevant profiles rather than requiring complete landscape evaluation, reducing overall deployment time while maintaining comprehensive validation
2Reliability
If multiple staging repositories with different profiles are created for comprehensive artifact evaluation, then release reliability is improved, but system complexity increases
Solution Approach 1:
The patent creates staging repositories with multi-functional profiles that can serve multiple evaluation purposes. Each profile is designed to work across different software artifacts and deployment scenarios, allowing a single staging repository structure to handle diverse validation requirements, thus reducing system complexity while maintaining comprehensive validation capability
Solution Approach 2:
The patent uses configurable profiles with adjustable parameters to adapt staging repositories for different evaluation needs. By changing profile parameters rather than creating entirely separate repository structures, the system can accommodate various validation scenarios with minimal structural complexity, maintaining reliability through flexible parameter-based configuration
3Measurement precision
If manual evaluation of integration test results is performed to determine release readiness, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent implements automated feedback mechanisms where staging repositories automatically evaluate software artifacts against defined profiles and provide structured results. This automated feedback loop maintains precise release readiness assessment by systematically comparing artifacts against profile criteria while eliminating manual evaluation bottlenecks, thus improving productivity without sacrificing measurement precision
Data Source
AI summary
Computer-implemented methods, software, and systems for managing deployed artifacts at designated landscapes during test execution to provide successful delivery to a production environment are provided. In response to an indication of a successful build of submitted source code at a build tool, a staging service is invoked. Staging repositories are created for storing artifacts generated as a result of the successful build. A profile is configured for the staging repositories to manage processing of the artifacts. The artifacts in the staging repositories are uploaded according to the configured profile and are provided from the staging repositories for execution at a designated landscape. Metadata from the execution that is associated with performance of the artifacts at the designated landscape is received. In response to evaluation of the metadata, determining whether to release the artifacts from the plurality of staging repository to one or more target repositories.