Automated DevOps Information Retrieval System
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Solution Overview
Problem
The inefficiencies in software development operations stem from the lack of harmonization between planning, testing, integration, deployment, and feedback processes, leading to unnecessary labor and cost waste, as well as the difficulty for DevOps personnel to find up-to-date information dynamically within the DevOps pipeline.
Innovation Solution
A system and method that automates and monitors software development operations using a computing device with a natural language processing (NLP) unit, an AIML interpreter, and integration with multiple DevOps tools, allowing users to query for information through a user-friendly interface and providing validated responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If DevOps personnel manually investigate the DevOps pathway to find information, then they can obtain information about build status, test results, or quality metrics, but this creates unnecessary overhead and delays
Solution Approach 1:
The patent introduces an automated information retrieval system that acts as an intermediary between users and the DevOps pipeline. This system automatically queries the DevOps pathway for information about build status, test results, and quality metrics, eliminating the need for manual investigation while ensuring accurate and up-to-date information is delivered to users.
Solution Approach 2:
The system enables self-service by allowing users to automatically obtain DevOps pipeline information through automated queries. The information retrieval system independently accesses the DevOps pathway, retrieves relevant data, and delivers it to users without requiring DevOps personnel to manually investigate or provide the information.
2Reliability
If DevOps personnel wait for developers to code products before testing, then developers can complete their work, but this creates unnecessary wait time and reduces productivity
Solution Approach 1:
The patent implements preliminary action by enabling testing operations to be prepared and configured in advance before the actual code is completed. The automated information retrieval system allows testing parameters, quality metrics, and validation criteria to be established beforehand, so that as soon as code is available, testing can immediately begin without waiting or reconfiguration delays.
3Reliability
If software products are re-developed due to unsuccessful previous versions, then quality can be improved, but this causes waste of labor and cost
Solution Approach 1:
The patent implements comprehensive feedback mechanisms that automatically collect and analyze information about build status, test results, and quality metrics throughout the DevOps pipeline. This feedback is delivered in real-time to developers and stakeholders, enabling early detection of quality issues and continuous improvement without requiring complete re-development. The automated information retrieval system ensures that feedback loops are maintained throughout the development process.
Data Source
AI summary
Systems and methods are disclosed for automating and monitoring software development operations. The systems may facilitate a user to submit a request to receive information related to a software application development across a development operations (DevOps) pipeline, and to efficiently receive an accurate response to the request. A natural language processing application may use query parameters from the request to form a query. The query may be sent to an artificial intelligence markup language (AIML) interpreter to retrieve the requested information from a database. Alternatively or additionally, the query may be sent to an application associated with an integration of a plurality of DevOps tools in the DevOps pipeline. The application may develop a dynamic response to the request.