Dependent Update Sequencing for Asynchronous Cloud Deployment
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Solution Overview
Problem
Existing deployment systems for cloud-based services fail to adequately consider update dependencies, leading to asynchronous delivery of updates that can cause feature dependency sequence violations and potential product functionality loss.
Innovation Solution
A deployment system that identifies and sequences dependent updates synchronously by monitoring parent updates for completion before applying dependent updates, ensuring updates are delivered in the correct order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ring deployment is used to deploy updates in stages, then deployment risk is reduced and user feedback can be collected incrementally, but update dependencies cannot be properly enforced leading to out-of-sequence delivery
Solution Approach 1:
The system performs preliminary actions by evaluating update dependencies and determining deployment sequencing before actual deployment occurs. The deployment orchestration service analyzes the dependency graph and establishes the correct sequence of update application, ensuring that parent updates are deployed before dependent updates, thus preventing out-of-sequence delivery while maintaining ring deployment's risk mitigation benefits
Solution Approach 2:
A deployment orchestration service is introduced as an intermediary component that manages the deployment process. This service receives deployment requests, evaluates update dependencies using a dependency graph, determines the correct deployment sequence, and coordinates the application of updates across rings. The intermediary ensures that dependency constraints are enforced while allowing ring deployment to proceed in a controlled manner
2Productivity
If asynchronous ring deployment is implemented across multiple subsystems, then deployment flexibility and parallel processing are improved, but dependency sequence violations occur when updates are delivered to different subsystems in random orders
Solution Approach 1:
Before executing asynchronous deployment, the system performs preliminary evaluation of update dependencies by constructing and analyzing a dependency graph. This preliminary action identifies the correct deployment sequence and establishes constraints that must be satisfied during asynchronous deployment, ensuring that even though updates are deployed in parallel to different subsystems, the dependency order is maintained
Solution Approach 2:
The deployment orchestration service implements feedback mechanisms by continuously monitoring the deployment status of updates across subsystems. When an update is deployed to a subsystem, the service tracks this information and uses it to determine when dependent updates can be safely deployed to other subsystems. This feedback loop ensures that asynchronous deployment maintains dependency sequence compliance while maximizing parallel processing efficiency
Data Source
AI summary
Systems and methods for deploying dependent updates include mechanisms for requiring that dependency information be provided for each update so that dependent updates may be identified. Update dependencies are tracked so that dependent updates are not deployed until parent updates have been completed. Deployment sequencing is implemented on top of existing asynchronous deployment policies so that asynchronous workflow remains intact and unaltered. The asynchronous workflow is upgraded to a synchronous (i.e., sequential) workflow for updates having dependencies to ensure that updates having dependencies are applied in the correct order.