Universal Discovery System for Containerized Application Version Management
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Solution Overview
Problem
Existing discovery tools, such as Universal Discovery (UD), struggle to effectively discover and manage applications deployed on containerized platforms like Kubernetes, particularly in terms of application discovery and version management.
Innovation Solution
The development of an enhanced Universal Discovery (UD) system that utilizes RESTful APIs to discover Helm-based applications and components within containerized platforms, including the ability to detect unplanned changes or version mismatches and execute responsive actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If Universal Discovery uses traditional infrastructure discovery methods, then infrastructure resources can be discovered, but application discovery capability is lost in containerized platforms
Solution Approach 1:
The patent introduces RESTful APIs as an intermediary mechanism between the discovery tool and containerized applications. The RESTful API serves as a mediator that translates infrastructure-level access into application-level discovery, enabling UD to penetrate the containerization layer and access Helm chart metadata, chart versions, and application configurations without requiring direct interaction with container processes.
Solution Approach 2:
The enhancement makes Universal Discovery universally applicable to both traditional infrastructure discovery and containerized application discovery. By integrating RESTful API capabilities and Helm chart parsing functions into the existing UD platform, the system achieves multi-functionality that works across different deployment models (traditional installations and containerized applications) without requiring separate discovery tools.
2Extent of automation
If Helm charts are used to manage Kubernetes applications, then application deployment is automated, but application metadata becomes encoded and compressed in secrets
Solution Approach 1:
The patent performs preliminary actions by pre-decoding and pre-parsing Helm chart metadata before it is stored in encoded secrets. The system proactively extracts application information, component lists, and configuration data from Helm charts during the discovery process, transforming the encoded metadata into readable formats before they need to be accessed or analyzed by the discovery tool.
Solution Approach 2:
The patent introduces a metadata parsing and decoding layer as an intermediary between the encoded secrets and the discovery tool's analysis functions. This intermediary component translates the encoded Helm chart metadata into structured, readable formats, making application information accessible while preserving the automation benefits of Helm-based deployment management.
3Loss of information
If comprehensive application discovery is implemented in containerized platforms, then application and component visibility is improved, but system complexity increases
Solution Approach 1:
The patent segments the discovery process into distinct functional modules: RESTful API communication layer, Helm chart parsing layer, metadata decoding layer, and application modeling layer. Each module handles a specific aspect of discovery independently, making the overall complex task of discovering containerized applications manageable through modular components that can be developed and maintained separately.
Solution Approach 2:
The patent introduces standardized RESTful APIs as an intermediary communication protocol that simplifies interactions with containerized platforms. By using well-defined API endpoints and standard data formats, the system reduces the complexity of directly accessing Kubernetes and Helm internals, providing a cleaner abstraction layer that maintains visibility while managing system complexity.
4Reliability
If real-time monitoring of version changes is implemented, then security and compliance are improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements periodic monitoring of Helm chart versions and application configurations rather than continuous real-time analysis. The system performs discovery and version comparison at scheduled intervals or when specific events occur (such as Helm chart updates), providing security and compliance assurance through regular checks while reducing the computational burden of constant monitoring.
Solution Approach 2:
The patent establishes feedback mechanisms that trigger discovery operations only when changes are detected or expected. The system monitors for version mismatches and unplanned changes, and when detected, initiates targeted discovery and analysis only for affected components, rather than processing entire systems continuously, thus reducing overall processing time while maintaining security oversight.
Data Source
AI summary
Containerized platforms like Kubernetes, OpenShift, EKS (Elastic Kubernetes Service), etc., containerize and orchestrate applications. There are mature solutions for discovering and modeling applications running in physical and virtualized machines, and for containerized platforms, there are solutions for discovering and modeling infrastructure like namespaces, controllers, and pods. While beneficial, such models are incomplete. Accordingly, systems and methods are provided herein for discovering applications and modeling resources utilized for the applications or product suites. As a result, version mismatches or unplanned changes may be detected and corrected.