DSL Package Generation for Server Working Environments

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Solution Overview

Problem

Setting up a new working environment on a server system is difficult and time-consuming due to complex component dependencies and deployment order requirements.

Innovation Solution

A package generation system that uses Domain Specific Language (DSL) to automate the configuration of working environments on server instances, including environmental metadata, data modules, and workflows, ensuring efficient deployment and management of components and data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual configuration of working environments is performed, then component dependencies and deployment order can be controlled, but the process becomes difficult and time-consuming

Engineering Contradiction:
Improvedeployment speedVSAvoidcomponent dependency complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments the working environment configuration into discrete packages, each containing specific components, dependencies, and deployment instructions. This allows complex environments to be broken down into manageable units that can be deployed independently and automatically.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary action by pre-defining component dependencies and deployment orders within the package metadata before deployment. This eliminates the need for manual configuration of dependency relationships during the actual deployment process.

Inventive Principle:
Principle #10Preliminary action

2Loss of time

If automated package deployment is implemented, then deployment time is reduced, but knowledge of component dependencies and deployment order is required

Engineering Contradiction:
Improvedeployment timeVSAvoidoperational knowledge requirement
Core Design Contradiction:
Loss of timeVSEase of operation

Solution Approach 1:

The package system enables self-service deployment by automatically interpreting and executing deployment instructions based on predefined metadata. The system autonomously resolves dependencies and determines deployment order without requiring manual intervention or specialized knowledge from the operator.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The package acts as an intermediary that encapsulates all necessary deployment information, including component dependencies and deployment order instructions. This intermediary structure translates complex deployment requirements into automated actions, shielding the operator from needing to understand the underlying complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If comprehensive package generation is performed, then all component dependencies are captured, but the system complexity increases

Engineering Contradiction:
Improvedependency configuration accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system replaces manual mechanical configuration processes with automated software-based package generation. The package generator automatically analyzes components, resolves dependencies, and creates deployment packages, eliminating the need for manual tracking and configuration of dependency relationships.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12411669B2Package generation for configuring a working environment on a server instance
Publication Date: 2025.09.09 SALESFORCE INC
  • US12411669B2 patent drawing
  • US12411669B2 patent drawing
  • US12411669B2 patent drawing

AI summary

Systems, devices, and techniques are disclosed for package generation for configuring a working environment on a server instance. Code written using a Domain Specific Language (DSL) for package generation may be received. A first component specified in the code written using the DSL may be determined. A second component based on a hard reference in code of the first component may be determined. A third component may be determined based on soft reference in source code of the first component or the second component. A package including the first component, the second component, and the third component may be generated. The package may be deployed on a server instance of a cloud computing server system.