Telemetry Subscription Control for Cluster File System Metrics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing telemetry architectures in distributed systems lack flexibility to dynamically add new metric data sets, producers, or consumers, leading to inefficiencies and performance degradation.
Innovation Solution
A subscription-based telemetry architecture that allows for dynamic definition and modification of telemetry data, enabling dynamic registration of new metrics through a REST API, with validation and control mechanisms to ensure data integrity and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed telemetry architecture is used, then system stability is maintained, but flexibility to add new metrics and producers is lost
Solution Approach 1:
The patent implements a dynamic telemetry architecture where the set of telemetry metrics and producers is not fixed but can be modified at runtime. New metrics can be added through configuration files or API calls without requiring system reconfiguration or restart, allowing the system to adapt to changing monitoring requirements while maintaining operational stability.
Solution Approach 2:
The patent creates a universal telemetry framework that can handle multiple types of data sources (producers) and multiple consumers through a common subscription-based interface. This multi-functional architecture allows the same system to serve diverse monitoring needs across different applications and storage devices without requiring separate specialized systems for each metric type.
2Loss of information
If telemetry data collection is expanded to cover more metrics, then monitoring comprehensiveness is improved, but system performance degrades
Solution Approach 1:
The patent enables selective telemetry collection where different storage devices or components can have customized monitoring profiles. Instead of uniformly collecting all possible metrics from every device, the system allows administrators to specify which metrics are relevant to particular devices based on their role, capacity, and operational characteristics, thereby reducing unnecessary data collection overhead while maintaining comprehensive monitoring where needed.
Solution Approach 2:
The patent implements a subscription-based model where consumers can selectively subscribe to only the telemetry metrics they need rather than receiving all available data. This partial action approach allows the system to collect and distribute only the necessary subset of telemetry data, reducing network bandwidth consumption and processing overhead while ensuring that critical monitoring information is captured.
3Adaptability or versatility
If dynamic subscription model is implemented, then flexibility is improved, but data validation and control complexity increases
Solution Approach 1:
The patent incorporates validation mechanisms that automatically verify the correctness of telemetry configurations, metric definitions, and producer registrations. The system provides feedback loops that check for configuration errors, validate data formats, and ensure that new metrics conform to expected schemas before they are activated, thereby managing complexity through automated quality assurance rather than manual verification processes.
Solution Approach 2:
The patent introduces intermediary components such as configuration management systems and validation layers that mediate between the dynamic subscription requests and the core telemetry collection infrastructure. These intermediaries handle the complexity of validation, authentication, and configuration management, shielding the core system from direct exposure to complex dynamic changes while still enabling flexible metric addition and consumer subscription.
Data Source
AI summary
A telemetry processing system in a cluster network receives telemetry data from a plurality of telemetry producers and formats it into a structured format for storage in a datastore. An original telemetry producer can identify other producers to transmit a new metric dataset for transmission to registered consumers. A schema validator module validates schema of the new metric dataset and a list of the other producers through an acceptance or rejection decision. If accepted, the other producers can store and transmit the new metric dataset, otherwise they are blocked. This prevents the generation of superfluous telemetry data in the network by an excessive number of producers.