Helm Chart Parameter De-duplication via Schema Annotation
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Solution Overview
Problem
Deploying complex applications in a Kubernetes environment is daunting due to hundreds of parameters, many of which are duplicated across multiple services, making the process inefficient and cumbersome.
Innovation Solution
A method to expose a minimal set of parameters for complex cloud-native applications by using a schema file to annotate required parameters with meaningful tokens, creating a relationship map, and generating a Helm-values overlay file to simplify the deployment process, thereby eliminating duplication and streamlining the deployment of Helm charts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If Helm charts are used to manage deployment of complex cloud-native applications, then deployment capability and flexibility are improved, but the number of parameters increases to hundreds, making deployment process cumbersome and difficult to operate
Solution Approach 1:
The patent merges multiple Helm charts into a single aggregated chart that consolidates all parameters from individual charts. This combining approach maintains the full deployment capability of multiple charts while presenting a unified, simplified interface to users, reducing the operational burden of managing hundreds of parameters across separate charts.
Solution Approach 2:
The patent creates a universal deployment interface that can handle multiple different Helm charts through a single standardized form. This multi-functional approach allows the same interface to manage diverse deployment scenarios without requiring users to learn different procedures for each chart, thereby improving ease of operation while maintaining versatility.
2Adaptability or versatility
If multiple Helm charts are used to define configurations for different services, then service-specific customization is improved, but parameter duplication occurs across charts, resulting in redundant input and inefficient deployment
Solution Approach 1:
The patent combines multiple Helm charts into one aggregated chart that consolidates duplicate parameters into single input fields. Common parameters such as resource limits, environment variables, and service accounts are merged so users input them once rather than repeatedly for each service, significantly reducing deployment time while preserving service-specific customization capabilities.
Solution Approach 2:
The system performs preliminary analysis to identify and group duplicate parameters across multiple Helm charts before deployment. By pre-processing the charts to detect common parameters and prepare an aggregated structure, the system eliminates redundant user input during the actual deployment process, saving time without sacrificing customization options.
3Adaptability or versatility
If all parameters from multiple Helm charts are exposed for user input, then complete configuration control is improved, but the complexity of the deployment interface increases, making it daunting for users
Solution Approach 1:
The patent merges parameters from multiple Helm charts into a single unified form with consolidated input fields. Duplicate parameters are combined into single fields with appropriate data types and validation, reducing the visual complexity of the interface from hundreds of scattered parameters to a manageable unified structure that maintains complete configuration control.
Solution Approach 2:
The patent applies different interface quality characteristics to different parameter groups within the aggregated chart. Common parameters use simplified single-line inputs, while service-specific parameters maintain detailed controls. This localized differentiation reduces overall interface complexity while preserving necessary configuration control for each parameter type.
Data Source
AI summary
Techniques are disclosed for deploying functions in a cloud computing environment. Parameters are annotated in a plurality of Helm charts with a predetermined token. Duplicated values in the Helm charts are identified and the predetermined token is reused for the duplicated values. Schema files from the plurality of Helm charts are parsed to extract the predetermined tokens. Input data are received as values for the predetermined tokens. The function is deployed in the cloud computing environment using the values for the predetermined tokens as parameters in the Helm charts.