Orchestration Engine Steady State Automation
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Solution Overview
Problem
Cloud computing systems face challenges in efficiently managing and automating steady state operations across resource components due to complex dependencies and the need for manual intervention in response to events, leading to inefficiencies and increased processing time.
Innovation Solution
An orchestration engine component that utilizes a blueprint component to declare and execute steady state actions based on dependencies between resource components, leveraging declarative-based representations and learning components to monitor and analyze dependencies, thereby automating responses to events and optimizing resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used to manage steady state operations in response to events, then flexibility and control are maintained, but processing time increases and efficiency decreases
Solution Approach 1:
The blueprint component pre-declares steady state actions and their associated events before they occur. When an event is detected by the orchestration engine, the corresponding pre-declared action is automatically executed, eliminating the need for manual intervention and reducing processing time.
Solution Approach 2:
The system enables automated self-service through the orchestration engine that automatically detects events and executes corresponding steady state actions based on pre-declared blueprints, allowing the system to manage itself without external manual control while improving efficiency.
2Ease of operation
If complex dependencies between resource components are manually managed, then accurate control is achieved, but device complexity increases and operation becomes difficult
Solution Approach 1:
The blueprint component serves as an intermediary that captures and structures the complex dependencies between resource components in a declarative format. The orchestration engine then uses this structured blueprint to automatically manage the dependencies, simplifying the operation while accurately controlling complex relationships.
Solution Approach 2:
The system segments the complex dependency management into distinct components: the blueprint component that declares dependencies and actions, the orchestration engine that detects events and manages execution, and the resource components themselves. This segmentation makes the overall complex system easier to operate and maintain.
3Productivity
If automated orchestration is implemented to reduce manual intervention, then productivity improves, but system complexity increases
Solution Approach 1:
The blueprint component performs preliminary action by pre-declaring all steady state actions and their associated events in a structured format. This preliminary structuring reduces the complexity of the orchestration engine, as it only needs to match detected events with pre-defined actions rather than making complex decisions, thereby improving productivity without proportionally increasing system complexity.
Data Source
AI summary
Systems, computer-implemented methods, and computer program products that facilitate orchestration engine components for a cloud computing environment are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a blueprint component that can, based on one or more dependencies between respective resource components of a cloud-based computing platform, declare a steady state action to be executed in response to a steady state event indicative of an event associated with steady state operation of a resource component of the cloud-based computing platform. The computer executable components can further comprise an orchestration engine component that can, based on the blueprint component, execute the steady state action in response to the steady state event.