Service Node State Synchronization via Pull and Push Models
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Solution Overview
Problem
Current cloud-based service deployment solutions face complexities such as manual errors in deployment pipelines, lack of transparency in deployment processes, and limited extensibility to support multiple services, leading to deployment issues.
Innovation Solution
Implementing state synchronization techniques using 'pull' and 'push' models, where service nodes periodically query for updates or receive notifications to synchronize their states, respectively, within a service environment, leveraging a configuration manager and deployment orchestrator to manage resource models and configuration packages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual deployment processes are used in cloud-based service delivery, then deployment flexibility is maintained, but deployment errors and lack of transparency occur
Solution Approach 1:
The deployment system performs self-service through automated state synchronization. Service nodes automatically query for configuration changes and apply updates without manual intervention, eliminating human error while maintaining deployment flexibility. The system serves itself by detecting, retrieving, and applying configuration changes autonomously.
Solution Approach 2:
The patent implements feedback mechanisms where service nodes periodically query the configuration manager for state changes. This continuous feedback loop ensures that nodes receive real-time updates about deployment status and configuration changes, providing transparency while maintaining automated reliability.
2Adaptability or versatility
If current deployment solutions are used, then single-service deployment is supported, but extensibility to multiple services is limited
Solution Approach 1:
The configuration manager and service node architecture are designed with universal interfaces that can handle multiple service types. The state synchronization mechanism is service-agnostic, allowing the same system to manage configurations for different services (e.g., web servers, databases, application services) without requiring service-specific deployment logic.
Solution Approach 2:
The patent segments the deployment system into independent, modular components: configuration manager, service nodes, and synchronization agents. Each component operates independently but communicates through standardized interfaces, enabling the system to scale to multiple services while maintaining manageable complexity through clear separation of concerns.
3Reliability
If state synchronization is implemented without standardized models, then flexibility in synchronization approaches is maintained, but synchronization reliability deteriorates
Solution Approach 1:
The patent defines specific synchronization parameters and states (e.g., synchronized, pending, failed) that standardize the synchronization process. By changing the state parameters of service nodes based on synchronization outcomes, the system achieves reliable state tracking while maintaining manageable complexity through standardized state transitions.
Data Source
AI summary
Techniques for state synchronization in a service environment are described. In at least some embodiments, different synchronization models are employed to synchronize state for resources in a service environment. For instance, embodiments may employ a “pull model” whereby a resource periodically queries for changes in resource state to be applied to the resource. Alternatively or additionally, a “push model” can be employed whereby notifications are pushed to resources, informing the resources that they are to update their state. Thus, based on various considerations for a service environment, instances and/or combinations of the disclosed synchronization models can be implemented.