Distributed Deployment Agent for Automated Container Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In distributed computing environments, application maintenance and upgrades are labor-intensive and prone to errors due to repetitive manual processes, lack of automation, and potential corruption of update files during transmission.
Innovation Solution
A distributed deployment agent system that uses a server system agent and a client system agent to generate and transmit compressed command files with deployment instructions, automating the update process by determining target locations, extracting, and executing the files, while ensuring file integrity through checksum validation and automatic backup mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual update processes are used for each container, then updates can be applied to individual applications, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system segments the update process into distinct components: a server system agent that manages the update workflow, client system agents deployed to each container, and automated deployment packages. This segmentation allows parallel processing of updates across multiple containers while maintaining individual control over each application instance.
Solution Approach 2:
The client system agents enable self-service updates by automatically receiving deployment packages from the server, extracting update files, validating checksums, and applying updates to their respective applications without requiring manual intervention. The system performs self-diagnosis and self-correction through automated error handling and rollback capabilities.
2Loss of information
If manual tracking of updated containers is performed, then update status can be monitored, but the process becomes complex and error-prone
Solution Approach 1:
The system implements continuous feedback loops where client system agents report their update status back to the server system agent. The server maintains a centralized record of which containers have been updated, are pending updates, or require rollback. This automated feedback mechanism eliminates manual tracking while providing real-time visibility into the deployment state across the entire system.
3Speed
If update files are transmitted without validation, then transmission is faster, but file corruption may occur during transmission
Solution Approach 1:
The server system agent calculates and attaches checksum values to update files before transmission occurs. This preliminary validation preparation ensures that integrity verification can be performed immediately upon receipt without requiring re-transmission or additional processing time, thus maintaining both speed and reliability.
Solution Approach 2:
The system uses lightweight checksum values (such as MD5 or SHA hashes) as disposable validation objects that are easily computed and transmitted alongside update files. These small validation data structures provide robust corruption detection without significantly increasing transmission overhead or processing complexity.
4Productivity
If automatic deployment is implemented, then update efficiency is improved, but the system requires more complex automation infrastructure
Solution Approach 1:
The server system agent and client system agents are designed as multi-functional components that can handle multiple tasks: managing update workflows, validating file integrity, coordinating deployments across containers, handling rollbacks, and maintaining deployment records. This universality consolidates what could be multiple separate tools into a unified system, reducing overall complexity while maintaining high automation capability.
Data Source
AI summary
A method of automated deployment management for a computer network is provided. The method is implemented using a distributed deployment agent that includes a server system agent operating on a server system and a client system agent operating on a client system. The client system agent is communicatively coupled to the server system agent. The method includes determining target locations associated with the client system, generating (using a configuration file) a command file configured for execution on the client system that hosts a computer application, configuring the command file with deployment instructions for the client system to automate deployment of the command file, and causing the client system agent to extract the command file and execute the command file on the target locations. The execution activates a system update event on the client system and/or a software update event for the computer application.