Application Controller for Incremental Cloud Deployment
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Solution Overview
Problem
The existing process of deploying and updating cloud-based applications is time- and resource-intensive, as it requires killing and re-deploying containers associated with new TCP ports for each modification, which hampers efficient development and incremental deployment.
Innovation Solution
An application controller acts as a wrapper within the container, managing external TCP ports and routing requests, allowing for hot-deployment of static resources and incremental updates without re-instantiating containers, and provides a plugin mechanism for supporting various application types through a reverse proxy and extensible framework.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the container is killed and re-deployed for each modification, then the application updates are complete, but the deployment time and resource consumption increase
Solution Approach 1:
The system segments the deployment process by introducing an application controller that independently manages application updates within the container. The controller can reload application code and resources without killing the container process, separating the update mechanism from the container lifecycle.
Solution Approach 2:
The application controller acts as an intermediary between the deployment system and the application. It receives deployment requests, manages resource updates, and coordinates with the application without requiring container re-instantiation, thereby reducing deployment time while ensuring complete updates.
2Reliability
If the container is killed and re-deployed for each modification, then the application updates are complete, but the resource consumption increases
Solution Approach 1:
The system segments the deployment process by introducing an application controller that independently manages application updates within the container. The controller can reload application code and resources without killing the container process, separating the update mechanism from the container lifecycle.
Solution Approach 2:
The application controller discards and recovers resources efficiently during updates. Instead of killing the entire container, it selectively updates application resources (code, static files, configurations) while preserving the container infrastructure, thereby reducing resource consumption during deployment.
3Reliability
If a new container is instantiated for each deployment, then the application is updated, but the complexity of port management increases
Solution Approach 1:
The application controller provides universal port management functionality. It maintains a persistent TCP port for the container while dynamically managing application requests, allowing multiple applications to be updated without changing port assignments. This eliminates the need to reassign ports with each deployment.
Solution Approach 2:
The application controller acts as an intermediary that manages port assignments and request routing. It receives external requests on the container's TCP port, determines the target application, and forwards requests accordingly, simplifying port management compared to assigning unique ports to each container instance.
4Reliability
If the application is re-deployed to a new container, then the modifications are reflected, but the development efficiency decreases
Solution Approach 1:
The system segments the deployment process by introducing an application controller that independently manages application updates within the container. The controller can reload application code and resources without killing the container process, separating the update mechanism from the container lifecycle.
Solution Approach 2:
The application controller enables continuous operation during updates. The container remains active and serves requests throughout the update process, allowing incremental deployments and hot-reloading of resources without interrupting service, thereby maintaining development efficiency.
Data Source
AI summary
A system includes reception of a request associated with a cloud-based application at an external port of a container associated with the cloud-based application, passage of the request to an application controller associated with the cloud-based application, determination of whether the request includes a command to modify the cloud-based application, invocation of a function to execute the command if it is determined that the request includes a command to modify the cloud-based application, and forwarding of the request to the cloud-based application at a second port different from the external port if it is determined that the request does not include a command to modify the cloud-based application.


