Lifecycle Orchestration System for Computing Processes
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Solution Overview
Problem
Current computing systems lack a centralized system for incorporating and managing various process flows from separate sources to orchestrate the lifecycle execution and monitoring of computing processes, leading to inefficiencies in addressing complex problems and issues.
Innovation Solution
A computer-implemented method and system that orchestrates the execution of computing processes by receiving input events, determining associated tasks, selecting process flows based on models, and executing executable actions to transition the system between defined states, utilizing federated data sources and microservices for generating output events and updating processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a centralized system for lifecycle orchestration is implemented, then process management capability is improved, but system complexity increases
Solution Approach 1:
The system segments process flows into discrete executable actions that can be independently managed and executed. Each process flow is broken down into actionable units that can be orchestrated centrally while maintaining modular independence, reducing overall system complexity.
Solution Approach 2:
A centralized lifecycle orchestration system acts as an intermediary between federated data sources and execution environments. This mediator coordinates process flows across multiple sources without requiring direct integration between them, managing complexity centrally while preserving source independence.
2Loss of information
If multiple federated data sources are integrated, then data availability is improved, but integration complexity increases
Solution Approach 1:
The system implements a universal process flow execution framework that can handle multiple federated data sources through a common interface. This multi-functional approach allows the same orchestration mechanism to work with diverse data sources without requiring source-specific integration logic.
Solution Approach 2:
The centralized orchestration system serves as an intermediary layer between federated data sources and the execution engine. This mediator abstracts the complexity of integrating multiple data sources, presenting a unified interface while managing the underlying diversity of source systems.
3Manufacturing precision
If process flows are executed with multiple states and transitions, then process control precision is improved, but execution complexity increases
Solution Approach 1:
Process flows are segmented into discrete states and executable actions, with clear transition definitions between them. This segmentation allows precise control of process progression while managing complexity through structured, atomic process units that can be independently validated and executed.
Data Source
AI summary
A method, a system, and a computer program product for lifecycle orchestration. An input computing event generated by a computing application executing in a computing system is received. A plurality of tasks associated with the input computing event is determined. A process flow is selected from a plurality of process flows based on one or more models defining one or more states of the computing system during execution of each process flow and a plurality of executable actions for performing tasks. At least one executable action for performing at least one task is executed resulting in the computing system being transferred from one state to another. An output computing event resulting from the executing of the executable action is generated. While the computing system is in another state, another executable action for performing another task is executed, where the generated output computing event is input to the executing of another executable action.