Resource Manager Deployment Version Tracking
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Solution Overview
Problem
Managing software updates across a distributed environment with multiple servers is complex, leading to potential errors and data loss due to difficulties in tracking and scheduling deployments across various geographical locations.
Innovation Solution
A data structure that utilizes Revision numbers and Release types (Mainline, Baseline, and Individual Releases) to track and manage software deployments, allowing for efficient scheduling and verification of updates, ensuring that each deployment builds on the current revision state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tracking of software versions across multiple servers is implemented, then deployment control is achieved, but system complexity and error risk increase
Solution Approach 1:
The patent introduces a resource manager as an intermediary component that automatically tracks and manages software version deployments across multiple servers. This mediator maintains a centralized data structure recording which versions are deployed to which servers, eliminating the need for manual tracking while reducing complexity through automation.
Solution Approach 2:
The system implements feedback mechanisms where the resource manager continuously monitors deployment states and provides real-time information about which software versions are deployed to which servers. This feedback loop enables automatic conflict detection and resolution, improving reliability without increasing operational complexity.
2Reliability
If staggered deployment across geographical areas is implemented, then deployment control is improved, but deployment time and scheduling complexity increase
Solution Approach 1:
The patent implements preliminary action by requiring customers to submit deployment information in advance, including target servers and desired timing. The resource manager uses this preliminary information to automatically create deployment schedules and track progress, reducing the time and complexity of manual scheduling while maintaining controlled staggered deployment.
3Measurement precision
If comprehensive deployment tracking across all servers is implemented, then version accuracy is improved, but data management complexity increases
Solution Approach 1:
The patent segments the deployment tracking data structure into organized components, with the resource manager maintaining structured records that link software versions to specific servers. This segmentation approach enables precise tracking of version deployment status while managing data complexity through systematic organization and automated maintenance.
Data Source
AI summary
Customers wanting to deploy software packages, or updates to those packages, across a group of servers or other computing resources can rely upon a component such as a resource manager to manage the deployment. The resource manager can utilize a data structure that stores deployment information by Revision number, and merges information for each verified deployment into a Mainline for those resources. Each Deployment can involve an Individual Release or a Baseline Release, and the importance of those Releases can be determined with respect to a current snapshot of the Mainline. Such an approach enables important Release and Deployment information to be quickly determined and obtained, which can help with configuring and scheduling future Deployments.