ESP Container Images Built from Runtime Dependency Discovery
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Solution Overview
Problem
Existing technologies face challenges in efficiently managing and deploying Event Stream Processing (ESP) projects using containers, as they require complex management of multiple components and artifacts, which hinders seamless execution and data analysis.
Innovation Solution
A system and method for creating an ESP project container image by generating a manifest file, identifying required software components, and using a build kit to generate a container image for executing ESP projects, allowing data streaming analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional container management methods are used for ESP projects, then multiple components and artifacts can be managed, but the deployment process becomes complex and execution is hindered
Solution Approach 1:
The ESP project is segmented into distinct layers: base image layer, framework layer (with required components identified through execution), and application layer. This segmentation allows each layer to be managed independently, reducing deployment complexity while maintaining the ability to handle multiple components.
Solution Approach 2:
The system performs preliminary execution of the ESP project in a container pod to identify required software components before generating the final container image. This preliminary action allows the build kit to create a optimized container image with only the necessary components, avoiding the complexity of manual component management.
2Reliability
If all software components are included in the container image, then the ESP project can execute, but the container image size increases and deployment efficiency decreases
Solution Approach 1:
The system extracts only the required software components from the full set of available components by executing the ESP project in a container pod and analyzing which components are actually needed. This extraction process creates a minimized container image that maintains execution capability while improving deployment efficiency through reduced size.
Solution Approach 2:
The container image composition is dynamically changed based on the specific ESP project requirements. By executing the project first and analyzing the runtime dependencies, the system adjusts the container image parameters (included components) to match the actual needs, rather than using a static comprehensive image.
3Ease of manufacture
If components are identified before container image creation, then the image can be optimized, but the project must be executed in advance which adds time
Solution Approach 1:
The system creates a temporary copy of the ESP project environment in a container pod for preliminary execution. This copying approach allows the original project to remain unchanged while the copy is used to identify required components, enabling optimization without permanent time loss to the main development workflow.
Data Source
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AI summary
A system and method include creating a project package for an Event Stream Processing (ESP) project, generating a first manifest file from the project package, creating a first container pod on a cluster based on the first manifest file, executing a container file generator software and a build kit software on the first container pod, executing an ESP server on the container file generator software, executing the ESP project on the ESP server such that data is not streaming to the ESP server, identifying a list of required software components needed to execute the ESP project, creating a container file having a subset of software components based on the list of required software components, generating a ESP project container image for the ESP server based on the container file, and deploying the ESP project using the ESP project container image to analyze data streamed to the ESP project.