Distributed Control Plane for Container Storage Communication
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Solution Overview
Problem
The existing control plane logic struggles to facilitate effective communication between container orchestration platforms and distributed storage architectures due to differences in programming models and the dynamic nature of volume ownership, leading to scalability issues and single points of failure.
Innovation Solution
A distributed control plane is implemented within the container orchestration platform, allowing for scalable pairing with worker nodes, reformating commands between declarative and imperative models, tracking object ownership, and managing worker node failures and additions to ensure seamless communication and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized control plane is used to manage communication between container orchestration platform and distributed storage architecture, then communication coordination is simplified, but scalability is limited and single points of failure are created
Solution Approach 1:
The control plane is segmented into multiple distributed control plane components (control plane pods) that can be independently deployed and managed. Each control plane pod handles specific communication coordination tasks, eliminating the single point of failure while maintaining coordinated communication through the shared custom resource definition database.
Solution Approach 2:
A custom resource definition (CRD) acts as an intermediary layer between the container orchestration platform and the distributed storage architecture. The CRD stores communication requests and responses, allowing control plane components to coordinate communication without direct point-to-point connections, simplifying coordination while enabling distributed architecture.
2Ease of manufacture
If existing control plane logic is used, then implementation is straightforward, but communication effectiveness between different programming models deteriorates
Solution Approach 1:
The custom resource definition serves as a mediator that translates between the declarative programming model of the container orchestration platform and the imperative programming model of the distributed storage architecture. This intermediary layer maintains communication effectiveness by properly formatting and translating requests while keeping implementation straightforward through standardized CRD structures.
3Adaptability or versatility
If volume ownership is dynamically changed, then storage flexibility is improved, but tracking and managing ownership becomes more complex
Solution Approach 1:
Volume ownership tracking is merged into the custom resource definition database that already stores communication requests and responses. By combining ownership information with the existing CRD structure, the system achieves dynamic volume ownership management without adding separate tracking complexity, as all information is managed through the unified CRD interface.
Data Source
AI summary
Techniques are provided for implementing a distributed control plane to facilitate communication between a container orchestration platform and a distributed storage architecture. The distributed storage architecture hosts worker nodes that manage distributed storage that can be made accessible to applications within the container orchestration platform through the distributed control plane. However, the worker nodes may support an imperative model of program commands, but the container orchestration platform and applications therein utilize a declarative model of programming commands not supported by the distributed storage architecture. Accordingly, the distributed control plane is configured with control plane controllers that are paired with the worker nodes and are configured to reformat commands between the imperative model and the declarative model. In this way, the control plane controllers can facilitate communication and performance of commands between the applications of the container orchestration platform and the worker nodes of the distributed storage architecture.