Event Manager for Automated Software Deployment
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Solution Overview
Problem
Manual deployment of software in diverse environments and programming languages requires extensive expertise and time, with no real-time monitoring capabilities, leading to inefficient troubleshooting and restarts from the beginning upon failures.
Innovation Solution
An automated software deployment system using an event manager that identifies and processes instructions specific to the client, environment, and release packet, monitoring each step in real-time and allowing for resumed deployment at failed points without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual deployment is performed by software developers and engineers, then deployment can be completed with human oversight, but extensive expertise and time are required, and troubleshooting is inefficient
Solution Approach 1:
The deployment system performs self-service through automated workflow execution. The system automatically loads release packets, executes deployment workflows, monitors progress, and handles troubleshooting without requiring continuous human intervention. This eliminates the time-consuming manual operations while maintaining deployment reliability through automated oversight mechanisms.
Solution Approach 2:
Manual mechanical deployment operations are replaced by an automated computer-based system. The system substitutes human developers and engineers with automated processes that can execute workflows, monitor deployment status, and perform troubleshooting operations electronically, significantly reducing deployment time while maintaining reliability.
2Adaptability or versatility
If manual deployment processes are used, then flexibility in handling diverse environments and programming languages is possible, but the complexity of managing multiple tools and languages increases
Solution Approach 1:
The deployment system achieves universality by designing a single automated workflow engine that can handle multiple deployment environments and programming languages through standardized interfaces. The system loads release packets containing environment-specific configurations and executes appropriate workflows automatically, eliminating the need for separate manual processes for each environment while reducing overall system complexity.
Solution Approach 2:
The system introduces an intermediary automated deployment engine that mediates between diverse deployment environments and the user. This intermediary layer handles the complexity of different environments and programming languages internally, presenting a simplified interface to users while maintaining adaptability to various deployment scenarios through standardized workflow mechanisms.
3Productivity
If workflow execution is performed without real-time monitoring, then the deployment process can run autonomously, but troubleshooting becomes difficult and requires restarting from the beginning
Solution Approach 1:
The deployment system implements feedback mechanisms by continuously monitoring workflow execution status and providing real-time information about deployment progress. The system tracks each step of the workflow, detects failures automatically, and provides feedback signals that enable targeted troubleshooting without requiring restarts, thereby maintaining high deployment efficiency while improving detectability of deployment status.
Data Source
AI summary
Methods, systems, and computer-readable media are disclosed herein that facilitate automatically audited software deployment. When a software deployment event is scheduled by a user, an event manager selects and bundles data, properties, and computer readable instructions for the deployment based on a particular client, environment, and/or release packet. At the scheduled time, the event manager automatically triggers deployment of the software via an integration manager, without the need for a software engineer. The event manager monitors the integration manager throughout processing of workflow to deploy software of the release packet. In near real-time, the event manager identifies when a failure occurs, identifies the specific cause of failures in a workflow, and sends the information as an alert to a user. The event manager also facilitates restarting processing of a workflow at a particular failed step.