Aggregated Patch Deployment Rings for Managed Network Visibility
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Solution Overview
Problem
Conventional patch management systems struggle with inefficient and incomplete knowledge of patch deployment across networks, leading to unpatched endpoints, resource wastage, and difficulty in managing multiple patches concurrently.
Innovation Solution
A method for automated software management that aggregates patch deployment data across ring groups, enabling visualization and centralized control through a graphical user interface, allowing administrators to monitor and manage patch deployments effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If product updates are distributed across the entire network all at once, then deployment speed is improved, but system reliability deteriorates due to potential failures and lack of testing
Solution Approach 1:
The network is divided into multiple ring groups that receive updates in sequential waves. Each ring group acts as an isolated testing environment before updates propagate to subsequent rings, enabling staged deployment that balances speed with reliability through progressive rollout and failure containment.
2Reliability
If product updates are distributed at different times to different endpoints, then system reliability is improved through testing, but deployment efficiency deteriorates due to management complexity
Solution Approach 1:
Multiple ring groups are merged into a unified visual deployment map that consolidates the status of all endpoints and updates in a single interface. This allows administrators to monitor and manage distributed deployments across multiple rings simultaneously, maintaining reliability through staged rollout while improving efficiency through centralized visualization and control.
3Ease of operation
If product updates are stored and maintained centrally, then deployment control is improved, but resource consumption deteriorates due to storage and processing requirements
Solution Approach 1:
The update package is extracted and distributed incrementally to ring groups rather than being fully stored centrally before deployment. Each ring group receives only the portion of the update needed for its deployment wave, reducing central storage requirements while maintaining deployment control through the sequential distribution mechanism.
Data Source
AI summary
A method of automated software management may includereceiving a first status communication from a first endpoint device. The first status communication may include a first patch identifier and a first status time for the first endpoint device in which the first patch identifier is associated with a first patch. The method may include receiving a second status communication from a second endpoint device. The second status communication may include a second patch identifier associated with a second patch and a second status time for the second endpoint device. The method may include computing visualization data based on a selected time duration in which the visualization data may include the first patch identifier, the second patch identifier, and a first ring group identifier.