Self-Destructing Microservices for Resource Optimization
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Solution Overview
Problem
Microservices ecosystems often suffer from inefficiencies due to redundant services, leading to resource wastage and increased complexity in maintenance, as existing methods require manual identification and decommissioning of legacy services, which can disrupt operations.
Innovation Solution
Implementing self-aware microservices that can identify and decommission themselves by using a decommission plug-in to track resource usage and traffic, allowing for automated transition to replacement services, thereby reducing resource consumption and minimizing service disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If manual identification and decommissioning of legacy microservices is performed, then resource consumption is reduced, but operational complexity and service disruption increase
Solution Approach 1:
The patent implements self-service by enabling microservices to automatically identify themselves as legacy services and perform their own decommissioning. The system uses automated detection mechanisms that monitor service usage, traffic patterns, and dependency relationships to identify legacy microservices without human intervention. The decommissioning process is automated through orchestration systems that coordinate service shutdown, traffic rerouting, and resource release, eliminating the need for manual operational complexity while reducing resource consumption from redundant services
Solution Approach 2:
The patent applies feedback principles by implementing continuous monitoring of microservice usage statistics, traffic patterns, and inter-service dependencies. This feedback loop provides real-time information about which services are legacy or redundant, enabling the system to automatically adjust resource allocation and trigger decommissioning workflows. The feedback mechanism ensures that decommissioning decisions are data-driven, reducing operational complexity while effectively reducing resource consumption from unnecessary services
2Quantity of substance
If manual identification and decommissioning of legacy microservices is performed, then redundant services are eliminated, but service disruption and operational workload increase
Solution Approach 1:
The patent applies preliminary action by implementing automated detection and identification of legacy microservices before decommissioning occurs. The system continuously monitors service metrics, traffic patterns, and dependency graphs to pre-identify candidates for decommissioning. Traffic routing rules are pre-configured to automatically redirect requests away from legacy services, and decommissioning workflows are pre-prepared and staged. This preliminary preparation minimizes service disruption time by ensuring that all necessary actions are coordinated and ready before actual decommissioning begins, while effectively reducing the total number of microservices in the ecosystem
3Extent of automation
If self-aware microservices with decommission capabilities are implemented, then automated decommissioning is achieved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex decommissioning functionality into separate, modular components: detection modules that identify legacy services, analysis modules that assess dependency relationships, orchestration modules that coordinate decommissioning workflows, and execution modules that perform actual service shutdown. Each component has a specific, well-defined responsibility and can be independently developed, tested, and maintained. This segmentation reduces system complexity by breaking down the monolithic decommissioning process into manageable, loosely-coupled modules that can work together through standardized interfaces, while achieving high levels of automation
Data Source
AI summary
This disclosure describes techniques that include eliminating duplicative microservices and/or consolidating microservices, thereby reducing the number of microservices being used, and enabling a more efficient use of resources consumed by microservices. The techniques include obtaining, by a computing system, data about a plurality of microservices that are available to provide services on a network, identifying, based on usage statistics, a legacy microservice to be decommissioned, wherein the legacy microservice is included in the plurality of microservices available to provide services on the network, and wherein making the legacy microservice available on the network consumes resources on the network, configuring the legacy microservice to be capable of deallocating the resources consumed on the network; routing requests intended for the legacy microservice to another microservice, and after routing requests intended for the legacy microservice to the other microservice, enabling the legacy microservice to deallocate the resources.