Service Map Readiness Checks for Reliable Computational Services
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Solution Overview
Problem
The operational readiness and correctness of services in modern networks are unstandardized, leading to increased likelihood of service failures and wastage of computational resources due to misconfigured or absent computing resources, making it difficult to determine service readiness and identify root causes.
Innovation Solution
A system for determining operational readiness and correctness by generating a service map, assessing resource measurements and performance targets, and displaying them on a graphical user interface, allowing proactive identification and resolution of issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If services are deployed without standardized operational readiness checks, then deployment speed is improved, but service reliability deteriorates due to misconfigured or absent computing resources
Solution Approach 1:
The patent performs operational readiness checks and generates service maps before services are deployed. By conducting configuration validation, dependency verification, and resource availability checks in advance, the system ensures that only properly configured services are deployed, thus maintaining reliability while enabling rapid deployment decisions.
Solution Approach 2:
The system continuously monitors service operational status and provides feedback through service maps that display readiness states of computing resources. This feedback mechanism allows operators to identify and correct configuration issues before they impact service reliability, while automated monitoring enables rapid response to deployment issues.
2Reliability
If comprehensive operational readiness checks are performed on all computing resources, then service reliability is improved, but system complexity increases due to the number of checks and monitoring requirements
Solution Approach 1:
The patent divides the service infrastructure into discrete computing resources (virtual machines, containers, storage systems, network devices) and creates individual service maps for each service. Each computing resource is assessed independently through standardized checks, allowing comprehensive monitoring to be broken down into manageable, modular units that can be evaluated and managed separately.
Solution Approach 2:
The system implements a universal service map framework that can represent multiple types of computing resources and services through a common structure. The same operational readiness checks and visualization mechanisms are applied across diverse resource types, reducing the need for separate complex monitoring systems for each resource category.
3Measurement precision
If service maps and operational readiness data are displayed in detail, then measurement precision is improved, but ease of operation deteriorates due to information overload on the graphical interface
Solution Approach 1:
The service map displays different levels of detail for different computing resources based on their operational readiness status. Resources that pass readiness checks are displayed with simplified indicators, while resources with issues display more detailed information about specific problems. This allows operators to quickly identify problematic resources without being overwhelmed by details about all resources.
Solution Approach 2:
The system provides comprehensive operational readiness data when needed (such as when resources fail checks or when operators request detailed views) but displays summarized information during normal operation. This partial display approach maintains ease of operation for routine monitoring while enabling access to precise measurement data when required for troubleshooting or decision-making.
Data Source
AI summary
An example implementation may involve: obtaining a service map of a service deployed within a network, wherein the service map includes representations of computing resources that constitute the service and relationships between the computing resources; obtaining respective performance targets and respective actual performance data for each of the computing resources; determining, based on the respective performance targets or the respective actual performance data, that a particular computing resource is unable to meet its respective performance target; and generating a representation of a graphical user interface that depicts the service map in accordance with the relationships between the computing resources, wherein the respective performance targets and the respective actual performance data are provided for each of the computing resources.