Push-Based Pageload Telemetry Streaming for Real-Time Tracing
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Solution Overview
Problem
Existing monitoring applications rely on pull-based models for accessing page load telemetry data, which are inefficient and do not allow for real-time analysis and correlation with other performance metrics.
Innovation Solution
A push-based approach using OpenTelemetry Protocol (OTLP) is employed to stream pageload telemetry data in real-time, integrating monitoring agents with a HAR processor service and OpenTelemetry collector to convert HAR data into OTLP format, enabling real-time data streaming to observability platforms for comprehensive distributed tracing and alert generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a pull-based model is used to access page load telemetry data, then data can be retrieved on demand, but real-time analysis and correlation with other performance metrics are not enabled
Solution Approach 1:
The patent inverts the traditional pull-based model by implementing a push-based model where the OpenTelemetry collector actively streams telemetry data to observability platforms in real-time, rather than waiting for periodic requests. This inversion enables continuous real-time analysis while maintaining efficient data transmission through event-driven architecture.
Solution Approach 2:
The patent establishes continuous data streaming through the OpenTelemetry collector that maintains persistent connections with observability platforms, ensuring uninterrupted real-time telemetry data flow. This continuous action enables ongoing performance monitoring and immediate correlation with other metrics without gaps or delays associated with periodic polling.
2Speed
If HAR data is converted to OTLP format using OpenTelemetry collector, then real-time data streaming is enabled, but system complexity increases
Solution Approach 1:
The patent introduces the OpenTelemetry collector as an intermediary component that sits between the monitoring agents generating HAR data and the observability platforms consuming the data. This mediator automatically performs format conversion from HAR to OTLP, enabling real-time streaming without requiring complex integration logic in the monitoring agents or observability platforms, thus managing system complexity through a dedicated translation layer.
3Loss of time
If monitoring agents continuously stream telemetry data, then real-time performance monitoring is achieved, but data transmission overhead increases
Solution Approach 1:
The patent implements periodic batching of telemetry data at the OpenTelemetry collector, where data is accumulated in batches and transmitted periodically rather than continuously streaming every individual data point. This periodic action maintains real-time monitoring capabilities by minimizing batch intervals while reducing transmission overhead compared to continuous individual data transmissions, optimizing the balance between timeliness and resource consumption.
Data Source
AI summary
Methods for streaming pageload telemetry data as open telemetry data in a push-based approach are provided. Specifically, methods involve obtaining, from a monitoring agent, telemetry data associated with one or more network communications provided to a web-based service and generating web performance telemetry data from the telemetry data by injecting one or more attributes about at least one of the monitoring agent or the one or more network communications. The one or more attributes are obtained separately from the telemetry data. The methods further involve streaming the web performance telemetry data to one or more observability services.