Container Orchestration Service Auto-Termination
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Solution Overview
Problem
In distributed computing environments, such as cloud provider networks, failed software deployments can lead to the wastage of computing resources as existing systems do not efficiently detect and terminate failed deployments, resulting in prolonged resource utilization and poor user experience.
Innovation Solution
An orchestration service is implemented that automatically detects failed deployments and rolls back to a previous healthy state, utilizing a deployment manager to monitor conditions and terminate failed deployments, thereby reducing resource expenditure and improving user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system continuously attempts to execute failed user code, then the deployment process continues running, but computing resources are wasted and user experience deteriorates
Solution Approach 1:
The system performs preliminary detection of deployment failures by monitoring execution conditions and outcomes. When a failure is detected, the system proactively terminates the deployment process before it can continue consuming computing resources, thus preventing resource wastage while maintaining deployment reliability through early intervention
Solution Approach 2:
The system implements a feedback mechanism that continuously monitors deployment execution status and provides real-time information about failure conditions. This feedback loop enables the system to detect failures, make termination decisions, and adjust deployment processes dynamically, resolving the contradiction between continuing deployment attempts and preventing resource wastage
2Loss of time
If the system detects and terminates failed deployments quickly, then computing resource wastage is reduced, but system complexity increases due to monitoring and detection mechanisms
Solution Approach 1:
The orchestration service implements self-service capabilities by automatically monitoring its own deployment processes, detecting failures, and terminating unsuccessful deployments without external intervention. This self-monitoring and self-correction mechanism reduces detection time while managing complexity through automated rather than manual processes
Solution Approach 2:
The system merges the detection, monitoring, and termination functions into the existing orchestration service infrastructure. By integrating these failure detection capabilities with the deployed application code itself rather than adding separate external monitoring systems, the solution reduces detection time while minimizing the increase in overall system complexity
3Ease of operation
If the system rolls back to previous healthy state upon failure, then user experience is improved, but additional computing operations are required
Solution Approach 1:
The system maintains previous healthy deployment states as a form of cushioning against future failures. When a deployment failure occurs, the system can quickly restore to the pre-prepared previous state, improving user experience by ensuring service continuity. This pre-positioning of rollback targets balances the need for quick recovery with deployment efficiency
Data Source
AI summary
Generally described, the present application relates to providing a container orchestration service (“service”) that can automatically detect and terminate a failed deployment and automatically roll back to a previous healthy deployment. For example, the service may receive a request to deploy a new user code onto one or more compute instances usable to execute the new user code, where the new user code is an updated version of an old user code to be replaced by the new user code. The service may then attempt to execute a plurality of instances of the new user code on the one or more compute instances, determine, prior to replacing all instances of the old user code to be replaced by the plurality of instances of the new user code, that the deployment of the new user code has satisfied a failed deployment condition, and terminate the deployment of the new user code.