Resource Dependency Graphs for Container Deployment Health
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Solution Overview
Problem
Current container-based environments struggle to identify all resource dependencies and their status prior to the topology being connected, leading to deployment issues and difficulties in debugging and resolving problems during environment deployment.
Innovation Solution
A resource deployment health dependency graph is generated to show the status of each resource and its dependencies, using a virtual deployment controller to analyze resource dependencies and generate a health report graph, which is displayed via a UI dashboard to assist developers in understanding and resolving deployment issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If resource deployment is performed in container-based environments without pre-establishing dependency graphs, then deployment speed is improved, but deployment reliability deteriorates due to inability to identify resource dependencies and status prior to connection
Solution Approach 1:
The system performs preliminary actions by generating a resource dependency graph before actual resource deployment. This graph pre-establishes the relationships and status information between resources, enabling the deployment system to understand dependencies in advance without slowing down the actual deployment execution. The dependency graph is created from virtual deployment definitions before resources are instantiated in the container-based environment.
2Reliability
If comprehensive resource dependency analysis is performed before deployment, then deployment reliability is improved, but device complexity increases due to additional analysis components
Solution Approach 1:
The system creates a virtual copy of the deployment structure in the form of a resource dependency graph that mirrors the actual resource relationships before deployment. This virtual model allows comprehensive dependency analysis without adding complex runtime monitoring or analysis components to the actual deployment system. The graph structure replicates resource relationships, enabling pre-deployment validation without complicating the execution phase.
3Reliability
If resource status monitoring is implemented during deployment, then deployment reliability is improved, but loss of time increases due to additional monitoring overhead
Solution Approach 1:
The system performs status determination as a preliminary action by analyzing the resource dependency graph before resources are connected and operational. This allows the system to identify potential issues, dependency conflicts, and status problems in advance, eliminating the need for continuous monitoring during deployment. The pre-computed status information is derived from virtual deployment definitions and dependency relationships, not from actual runtime resource states.
Data Source
AI summary
Generating resource deployment health report graphs for specific virtual deployments is provided. A resource deployment health report graph that defines each respective resource dependency and a status of each respective resource and each respective dependency resource in a virtual deployment of a container-based environment is generated prior to a plurality of resources corresponding to the virtual deployment being connected in the container-based environment. An analysis of information contained in the resource deployment health report graph is performed. It is determined whether each respective resource and each respective dependency resource in the virtual deployment is in a ready state based on the analysis. In response to determining that each respective resource and each respective dependency resource in the virtual deployment is in a ready state based on the analysis of the information, it is determined that an actual deployment reflected by the virtual deployment is in a healthy state.