Microservice Validator for Deployment Compatibility
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Solution Overview
Problem
Microservices deployments often result in system instability and performance issues due to incompatible combinations of components or version differences, requiring significant user involvement and costly reconfigurations to optimize the user environment.
Innovation Solution
A multi-phase microservice validator process that tests application catalogs in pilot environments, calculates similarities with the user's environment, and selects optimal application templates for deployment, ensuring compatibility and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If microservices are deployed without prior validation, then deployment speed is improved, but system stability and performance deteriorate due to incompatible component combinations
Solution Approach 1:
The patent implements a multi-phase validation process that performs compatibility testing, fault injection, and performance evaluation before microservice deployment. This preliminary action identifies incompatible component combinations and resolves conflicts in advance, ensuring system stability is maintained while preserving rapid deployment capabilities.
Solution Approach 2:
The validation system automatically tests microservice combinations, detects faults, and performs self-healing operations without requiring manual user intervention. This automated self-service approach maintains deployment speed by eliminating manual testing and configuration steps while ensuring system reliability through comprehensive pre-deployment validation.
2Reliability
If comprehensive validation testing is performed before deployment, then system reliability is improved, but deployment time and complexity increase
Solution Approach 1:
The validation process is divided into distinct phases including compatibility testing, fault injection, and performance evaluation. Each phase focuses on specific aspects of system reliability, allowing comprehensive validation to be performed systematically without overwhelming deployment time. The segmented approach enables parallel processing and optimization of individual testing stages.
Solution Approach 2:
The system dynamically adjusts validation parameters such as testing depth, fault injection intensity, and performance thresholds based on the specific microservice combination being deployed. This adaptive parameter adjustment ensures comprehensive reliability validation while minimizing unnecessary testing overhead and reducing overall deployment time.
3Adaptability or versatility
If manual user involvement is used for testing and configuration, then system adaptability is improved, but operational complexity and cost increase
Solution Approach 1:
The validation system automatically adapts to different user environments by performing compatibility testing, detecting environmental characteristics, and configuring optimal microservice combinations without manual user involvement. This self-service capability maintains high system adaptability while eliminating the operational complexity and costs associated with manual testing and configuration.
Solution Approach 2:
The system continuously monitors validation results and environmental feedback to automatically adjust configurations and select optimal microservice combinations. This feedback-driven approach enables the system to adapt to diverse user environments autonomously, maintaining versatility while reducing operational complexity through automated decision-making based on real-time performance data.
Data Source
AI summary
Example implementations described herein are directed to systems and methods for validating and deploying microservices. In an example implementation, a plurality of similarities are calculated between a user environment and multiple pilot environments from application deployment test results. The test results are based on compatibility of catalogs of applications with each of the pilot environments. A list is presented with one or more of the catalogs of applications that are indicated as compatible and similar to the user environment based on the calculated similarities. The user can select catalog from the list that is deployed in the user environment.