Configuration Service Using Archived Batches for Script-Free Deployment
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Solution Overview
Problem
Conventional configuration methods for deploying computer resources such as microservices and containers are complex and time-consuming, often requiring customized shell scripts for each deployment and update.
Innovation Solution
A configuration service that processes a validated and secure batch of archived data, including a configuration file in JSON format, to automate the configuration of services by extracting and processing resources based on defined actions and relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional configuration methods using shell scripts are used for each deployment and update, then configuration can be customized for each specific case, but the process becomes complex and time-consuming
Solution Approach 1:
The patent introduces a configuration service as an intermediary component that sits between the deployment process and the actual configuration execution. This service receives configuration requests, validates them against schemas, and executes the appropriate configuration actions. By mediating the configuration process, the system maintains the ability to customize configurations for different deployments while abstracting away the complexity of manual script management and validation.
Solution Approach 2:
The configuration service provides a universal interface for handling all configuration operations across different service types and deployment scenarios. Instead of requiring separate shell scripts for each configuration case, the service handles multiple configuration types (service registration, configuration file generation, parameter validation) through a single unified mechanism, reducing overall system complexity while maintaining adaptability.
2Reliability
If conventional configuration methods with manual shell scripts are used, then each deployment can be precisely controlled, but the time required for configuration increases significantly
Solution Approach 1:
The system performs preliminary validation of configuration parameters against predefined schemas before execution. Configuration files are validated, service dependencies are checked, and parameter correctness is verified in advance. This preliminary action ensures deployment control precision is maintained while preventing time-wasting errors during actual configuration execution, as invalid configurations are caught and reported beforehand.
Solution Approach 2:
The configuration service implements feedback mechanisms that provide real-time validation results and error messages to users. When configuration parameters are invalid or incomplete, the system immediately returns specific error information, allowing users to correct issues without attempting full deployment. This feedback loop maintains reliability by ensuring only valid configurations are executed while significantly reducing time loss through early error detection.
3Adaptability or versatility
If customized shell scripts are created for each deployment and update, then specific configuration requirements can be met, but the operational complexity and maintenance burden increase
Solution Approach 1:
The configuration service enables self-service configuration by automatically validating parameters, generating configuration files, and executing configuration actions based on service definitions. Instead of requiring operators to manually write and manage complex shell scripts for each deployment, the system automatically handles the configuration process through standardized interfaces and predefined schemas, maintaining adaptability to different service types while dramatically improving ease of operation.
Solution Approach 2:
The system uses service definition templates and configuration schemas that can be copied and adapted for different deployments. Instead of creating unique shell scripts for each service, operators can reuse standardized configuration templates and modify them through the configuration service interface. This copying approach maintains the ability to meet specific configuration requirements while eliminating the operational complexity of managing custom scripts for each deployment scenario.
Data Source
AI summary
Systems and methods for configuration-driven processing of data via a configuration service include receiving a batch of archived data with contents that include a configuration file and one or more resources; validating the batch of archived data; responsive to the validating, extracting the contents of the batch of archived data; and processing the one or more resources based on the configuration file, to configure a service with the one or more resources, wherein the configuration file defines a type of each of the one or more resources, a relationship between the one or more resources, and any actions to be performed on the one or more resources.