Interoperable Cloud DSL for Multi-Platform Orchestration
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Solution Overview
Problem
Current cloud native Domain-Specific Languages (DSLs) lack support for discrete actions, scheduling, workflow management, and orchestration of on-premise infrastructure, and are limited to orchestrating resources within their own platforms, restricting their interoperability across multiple cloud platforms and services.
Innovation Solution
A computerized method utilizing an interoperable cloud DSL that parses and validates inputs, chains native and third-party DSLs to orchestrate resources across various cloud platforms, using a DSL parser, engine, and executor to capture and execute input values in a structured manner, enabling orchestration of multiple cloud platforms and services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud native DSLs are used to orchestrate resources, then resources can be managed as a group or stack within their own platform, but they cannot support discrete actions, schedules, workflows, or orchestration of on-premise infrastructure and multiple cloud platforms
Solution Approach 1:
The system segments orchestration functionality into distinct modules: cloud-native DSL parser, third-party DSL parser, workflow engine, schedule manager, and on-premise infrastructure orchestrator. Each module handles specific aspects of orchestration, allowing the system to support diverse orchestration needs (discrete actions, schedules, workflows, multi-platform) without creating a monolithic complex system. The segmentation enables independent development and maintenance of each orchestration capability.
Solution Approach 2:
The system implements a universal orchestration framework that can execute multiple types of DSLs (cloud-native and third-party) and perform diverse orchestration functions (resource provisioning, scheduling, workflow management, on-premise infrastructure orchestration) through a common architecture. The unified parser and executor provide multi-functional capabilities, allowing a single system to handle various orchestration scenarios across different cloud platforms and on-premise infrastructure without requiring separate specialized systems.
2Reliability
If cloud native DSLs orchestrate resources within their own platform, then platform-specific optimization is achieved, but interoperability across multiple cloud platforms and services is restricted
Solution Approach 1:
The system introduces a intermediary layer consisting of multiple DSL parsers (cloud-native DSL parser and third-party DSL parser) that act as mediators between different cloud platform DSLs and the unified orchestration engine. These parsers translate and normalize platform-specific DSL syntax into a common internal representation, enabling the system to maintain platform-specific reliability through accurate parsing while achieving multi-platform interoperability through standardized processing. The intermediary layer isolates platform-specific variations from the core orchestration logic.
Solution Approach 2:
The system dynamically changes parameters based on the target platform by selecting appropriate DSL parsers and configuration settings. When orchestrating resources on a specific cloud platform, the system adjusts its behavior to use that platform's native DSL syntax and conventions, ensuring platform-specific reliability. Simultaneously, the same parameter changes enable seamless switching between different platforms, achieving multi-platform interoperability without compromising the reliability of platform-specific operations.
3Ease of operation
If cloud resources are managed as a group or stack, then resource interdependence is handled effectively, but discrete actions on individual resources cannot be performed
Solution Approach 1:
The system implements dynamic resource management where the level of resource grouping is flexible and changeable. Resources can be managed as stacks or groups when bulk operations are needed, and the same system can switch to individual resource management when discrete actions are required. The DSL syntax and executor dynamically adapt to the desired level of granularity, allowing users to specify whether to operate on individual resources or groups of resources within the same orchestration framework, thus providing both ease of operation for group management and adaptability for discrete actions.
Data Source
AI summary
In one aspect, a computerized method utilizing an interoperable cloud Domain-specific language (DSL) to orchestrate multiple cloud platforms and services including the step of parsing one or more DSL inputs. The computerized method includes the step of validating one or more DSL inputs a content and a syntax based on a DSL type and a type of associated cloud platform. The computerized method includes the step of chaining the one or more DSL to orchestrate resources in various cloud platforms by using cloud-platform native DSL and with orchestrating operational tools using third party custom DSLs. The computerized method includes the step of parsing an input data structure from the one or more DSLs together. The computerized method includes the step of appending the input data structure from the one or more DSLs together to capture input values together for execution.