Declarative Data Center Compiler for Multi-Platform Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Maintaining large data centers on cloud platforms is complex due to the need for millions of lines of code and differing software languages and features across various cloud platforms, leading to high maintenance costs and complexity for multi-tenant systems.
Innovation Solution
A declarative language and compiler system that generates cloud platform-independent specifications for creating and modifying data centers, allowing for platform-specific configurations across multiple cloud platforms like AWS, Azure, and GCP, reducing the need for platform-specific knowledge and enabling portable data center management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud platform specific implementations are used for each data center, then the data center can be deployed on that specific platform, but the maintenance complexity and cost increase significantly when supporting multiple cloud platforms
Solution Approach 1:
The patent implements a universal data center definition language that can define data centers in a platform-agnostic manner. This single definition can be compiled and deployed across multiple cloud platforms (AWS, Azure, GCP, etc.), eliminating the need for separate maintenance of platform-specific implementations while maintaining broad platform support.
Solution Approach 2:
The patent introduces a compiler as an intermediary layer between the universal data center definition and cloud platform-specific implementations. The compiler translates the platform-independent definition into platform-specific deployment configurations, allowing a single definition to work across multiple platforms without direct maintenance of each platform's implementation.
2Adaptability or versatility
If cloud platform specific implementations are used for each data center, then the data center can be deployed on that specific platform, but the number of lines of code required increases to millions
Solution Approach 1:
The patent uses a declarative definition language where a single data center definition serves as a template that can be copied and compiled for multiple platforms. Instead of maintaining millions of lines of platform-specific code, the same definition is reused across platforms through the compiler, dramatically reducing the total code quantity while maintaining platform-specific deployment capabilities.
3Ease of operation
If continuous delivery platforms are used to manage data centers, then software deployment is simplified, but the complexity increases when managing large data centers with millions of lines of instructions
Solution Approach 1:
The patent changes the fundamental parameter of data center definition from imperative procedural code (millions of lines) to declarative specifications (concise definitions). This parameter change enables continuous delivery platforms to manage large data centers more easily, as the declarative definitions are far simpler to process, validate, and deploy than traditional million-line codebases.
Data Source
AI summary
Computing systems, for example, multi-tenant systems create data centers in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives a cloud platform independent declarative specification describing a new datacenter to be created or modifications to an existing datacenter deployed on a cloud platform. The system compiles the cloud platform independent declarative specification to generate a metadata representation of the data center. If the datacenter is existing, the system generates a metadata representation representing modifications to the datacenter to obtain a desired datacenter. The system sends the metadata representation and a set of instructions for execution on a target cloud platform. The target cloud platform executes the instructions to configure the data center. The system provides users with access to the computing resources of the data center configured by the target cloud platform.