Software Update Controller with Staged Node Deployment
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Solution Overview
Problem
Existing software update systems require substantial manual input and cannot be tailored to the specific needs of individual customers, leading to inefficiencies and potential issues such as bugs and performance degradation.
Innovation Solution
A method and system for automatic user-controlled deployment of software updates, where a dedicated update controller monitors for updates and initiates installations on subsets of nodes according to a user-defined schedule, with health checks to detect and respond to functionality or performance issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software updates are deployed manually to control the update process, then update reliability can be monitored and controlled, but substantial manual input is required and the process is inefficient
Solution Approach 1:
The system enables automatic update deployment where the update mechanism autonomously monitors for updates, determines compatibility, and deploys updates across nodes without requiring manual intervention. The system self-manages the entire update lifecycle including health checks and rollback decisions.
Solution Approach 2:
The system implements health checks that monitor software functionality and performance after updates are deployed. This feedback mechanism detects issues automatically and triggers rollback procedures when problems are identified, enabling reliable automated updates without manual oversight.
2Adaptability or versatility
If generic update distribution methods are used, then deployment simplicity is maintained, but specific customer needs cannot be accommodated and substantial manual input is still required
Solution Approach 1:
The update deployment system dynamically adapts to each customer's specific needs by automatically determining update schedules, node subsets, and health check parameters based on customer-defined criteria. The system adjusts deployment strategies in real-time based on monitored software performance and customer requirements.
Solution Approach 2:
The system divides the update deployment process into distinct phases and node subsets, allowing different update strategies to be applied to different groups of nodes. This segmentation enables customized update waves that can target specific customer requirements while maintaining overall system coordination.
3Productivity
If all software instances are updated at once, then update completion speed is maximized, but the risk of bugs and performance degradation affects the entire system
Solution Approach 1:
The system divides the node population into multiple subsets and deploys updates in sequential waves rather than all at once. Each wave targets a specific subset of nodes, allowing controlled rollout and rapid rollback if issues are detected, thus maintaining system stability while progressing toward complete update deployment.
Solution Approach 2:
The system performs health checks and compatibility assessments before deploying updates to each node subset. By预先 verifying software functionality and performance metrics, the system prevents buggy updates from propagating across the entire network, thereby maintaining reliability while enabling efficient staged deployment.
Data Source
AI summary
Disclosed herein are systems and methods for updating software object instances on a plurality of nodes. An exemplary method may comprise monitoring a software repository for an update to the software object instance installed on the plurality of nodes. In response to detecting the update, the method may comprise initiating installation of the update to the software object instance on a first subset of the plurality of nodes in accordance with an installation schedule. The method may comprise determining whether a functionality or performance issue in the software object instance or a respective node of the first subset was detected subsequent to updating the software object instance. In response to determining that the functionality or performance issue was not detected, the method may comprise updating the software object instance on a second subset of the plurality of nodes in accordance with the installation schedule.