Cloud Infrastructure Run Triggers for Automated Workspace Updates
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Solution Overview
Problem
In cloud computing IT infrastructure pipelines, changes made by one team can affect multiple parts of an organization, but disparate teams often lack access to necessary information, leading to cumbersome monitoring and communication requirements, and potential negative effects from unawareness of changes until they occur.
Innovation Solution
Run triggers are established between nodes in the pipeline, allowing downstream nodes to automatically update in response to changes made upstream, ensuring that dependent workspaces or modules receive necessary updates without manual monitoring, thus preventing errors like accessing non-existent servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual monitoring and communication methods are used to track infrastructure changes across teams, then information can be shared between teams, but the process becomes cumbersome and requires significant time and computer resources
Solution Approach 1:
The system enables self-service by allowing the pipeline system to automatically detect, monitor, and propagate infrastructure changes across teams without requiring manual intervention. The run trigger mechanism automatically initiates updates in dependent workspaces when changes occur upstream, eliminating the need for teams to manually monitor and communicate changes.
Solution Approach 2:
The system implements feedback through run triggers that automatically detect changes in upstream workspaces and propagate them to downstream workspaces. This creates a closed-loop feedback mechanism where changes are automatically communicated and acted upon, ensuring all teams have current information without manual monitoring.
2Loss of information
If all parts of the organization monitor and communicate about each and every update, then complete information sharing is achieved, but the process is cumbersome and resource-intensive
Solution Approach 1:
The system segments the organization into independent workspaces with defined dependencies, allowing each workspace to autonomously manage its own updates. Instead of requiring all teams to monitor all changes, the segmentation allows changes to be automatically propagated only to dependent workspaces through run triggers, reducing overall system complexity.
Solution Approach 2:
The run trigger mechanism serves as a universal solution that works across all workspaces and teams in the organization. This single mechanism handles information sharing, change propagation, and coordination universally, eliminating the need for team-specific monitoring and communication processes.
3Reliability
If teams have restricted access to other workspaces for security reasons, then security is maintained, but teams cannot determine when changes affect them until negative effects occur
Solution Approach 1:
The run trigger acts as an intermediary that bridges secure workspace isolation with change awareness. It allows downstream workspaces to be automatically notified of upstream changes without requiring direct access to the upstream workspace. The trigger mechanism mediates between security restrictions and the need for change propagation, maintaining security while ensuring teams are aware of affecting changes.
4Productivity
If automatic update propagation is implemented through run triggers, then manual monitoring is eliminated and efficiency improves, but the system complexity increases
Solution Approach 1:
The system performs preliminary action by pre-defining run triggers and dependencies between workspaces before changes occur. This allows the system to automatically respond to changes without real-time complexity, as the propagation rules are established in advance. The preliminary configuration enables efficient automatic updates while keeping operational complexity low.
Data Source
AI summary
Systems and methods of managing information technology infrastructure are described. A method includes identifying a run trigger between a first node and a second node, each node maintaining a configuration for a portion of a cloud computing infrastructure associated with executing a portion of a cloud-based application. The run trigger initiates in response to an action at the first node and comprises a source identifier identifying the first node and a destination identifier identifying the second node. Then a run is queued on the second node based on the run trigger, the run including a process executed on the second portion of the cloud computing infrastructure with data received by the second node and associated with a run source identifier. The run on the second node is then planned and executed, causing the cloud computing infrastructure to modify infrastructure resources associated with the second portion of the cloud computing infrastructure.