Conversational DevOps Query Interface for Unified Monitoring Data

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Solution Overview

Problem

Engineers face the challenge of having to toggle between multiple DevOps tools with different syntax and query languages during software application debugging, which is tedious and time-consuming, especially when rapid analysis and recovery are critical.

Innovation Solution

A unified conversational system that integrates with various DevOps tools, allowing users to interact via a chatbot using natural language to retrieve and visualize monitoring data, reducing the need to switch between tools and simplifying the query process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If engineers use multiple DevOps tools with different syntax and query languages for monitoring and reporting, then they can access diverse application data, but the operation complexity and time required increase significantly

Engineering Contradiction:

Improveability to access diverse application dataVSAvoidoperation complexity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent implements a universal natural language processing interface that can query multiple DevOps tools (logging services, metric services, alerting services) through a single chatbot. The system translates natural language queries into tool-specific queries automatically, allowing engineers to access diverse application data from different tools without learning multiple query languages or switching between tools.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The chatbot serves as an intermediary layer between the engineer and multiple DevOps tools. It receives natural language queries, determines the appropriate tool and query syntax, executes the query, and presents the results in a unified format. This mediator eliminates the need for engineers to directly interact with multiple different tool interfaces and query languages.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If engineers toggle between multiple tools to debug software applications, then they can gather comprehensive monitoring data, but the time required for data gathering increases

Engineering Contradiction:

Improvecomprehensive monitoring dataVSAvoidtime for data gathering

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent merges multiple DevOps tools and their query capabilities into a single unified interface. The chatbot simultaneously accesses logging services, metric services, and alerting services through one interface, allowing engineers to gather comprehensive monitoring data from all tools in parallel rather than sequentially toggling between them.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system pre-loads and caches query templates for different DevOps tools, and maintains context about previously accessed data. When a engineer asks a query, the system can quickly retrieve relevant cached information and combine it with new queries, reducing the time needed to gather comprehensive data without sacrificing completeness.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If engineers write platform-specific queries for each DevOps tool, then they can retrieve accurate data from each tool, but the skill requirement and complexity increase

Engineering Contradiction:

Improvedata retrieval accuracyVSAvoidquery complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical process of writing and executing platform-specific queries with an automated natural language processing system. The chatbot uses NLP to understand the engineer's intent, automatically translates it into the appropriate tool-specific query syntax, executes the query, and returns the results. This substitution eliminates the need for engineers to learn complex query languages while maintaining accurate data retrieval.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system dynamically changes the query parameters and syntax based on the target DevOps tool. The same natural language query is transformed into different tool-specific queries with appropriate parameters for logging services, metric services, or alerting services. This parameter adaptation maintains data retrieval accuracy across different tools while keeping the user interface simple and uniform.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12561317B2Unified conversational system

Publication Date: 2026.02.24 GENESYS CLOUD SERVICES INC

AI summary

A method of leveraging a unified conversational system according to an embodiment includes receiving, by the unified conversational system, a query statement from a user made to a chatbot, determining, by the unified conversational system, an intent of the query statement received from the user, preparing, by the unified conversational system, a query for an application service based on the intent of the query statement, sending, by the unified conversational system, the query to the application service via an application programming interface (API) of the application service, receiving, by the unified conversational system, a query response from the application service, and providing, by the unified conversational system, the query response to the user via the chatbot.