Cloud Automation Throttling for Resource Conflict Prevention
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Solution Overview
Problem
Conventional automations on cloud platforms often run without restrictions, leading to high-resource usage and impact on applications or resources utilized by clients, resulting in reduced availability for primary applications.
Innovation Solution
Implement resource throttling and operation staggering services to manage the number and timing of automations, ensuring they stay within defined limits and staggered start times to maintain consistent resource distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automations are allowed to run without restrictions, then automation productivity is improved, but resource availability for client applications deteriorates
Solution Approach 1:
A resource throttling service is introduced as an intermediary between automations and cloud platform resources. This service manages and regulates resource access by automations, ensuring they operate within defined limits while maintaining resource availability for client applications. The throttling service acts as a mediator that balances automation needs with client application requirements.
2Productivity
If multiple automations run concurrently, then automation throughput is improved, but resource conflicts and interference between automations increase
Solution Approach 1:
The system performs preliminary actions by checking for resource conflicts before allowing automations to execute. The resource throttling service proactively identifies potential conflicts and prevents them before they occur, rather than reacting to conflicts after they manifest. This advance preparation enables higher automation throughput while minimizing resource conflicts.
Solution Approach 2:
The resource throttling service implements feedback mechanisms that continuously monitor resource usage and automation execution. Based on this feedback, the service dynamically adjusts automation scheduling and resource allocation to prevent conflicts and optimize throughput, creating a closed-loop system that adapts to changing conditions.
3Extent of automation
If automation resource usage is increased, then automation functionality is improved, but impact on client applications deteriorates
Solution Approach 1:
The system changes critical parameters related to resource allocation and automation execution. By dynamically adjusting parameters such as resource quotas, execution timing, and concurrency limits, the resource throttling service enables enhanced automation functionality while controlling the impact on client applications through controlled parameter modification rather than fixed rigid limits.
Data Source
AI summary
Various approaches are described to manage the execution of operations. Such operations may be performed without human intervention and may help maintain functionality of a cloud platform or client instances. In one aspect of the present approach, the number and/or type of automations starting in a given time frame may be limited to maintain an even or consistent distribution of resource usage. In a further aspect, the number and/or type of concurrent automations may be limited to a defined threshold to maintain an even or consistent distribution of resource usage.