Asynchronous Tag Latency Monitoring for Web Page Performance
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Solution Overview
Problem
Third-party services embedded in websites and applications can cause latency issues, leading to slow loading or failure of web pages and applications, especially when accessed from remote locations, and there is a need to manage these services proactively to ensure optimal performance and privacy.
Innovation Solution
A system that monitors the latency of embedded code asynchronously and determines its state, allowing for suspension or deployment based on performance and privacy criteria, using a plurality of states such as normal, flagged, and suspension states, and generates notifications for privacy concerns or excessive latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third-party services are embedded in websites and applications, then functionality and service capabilities are enhanced, but web page loading speed and application performance deteriorate due to latency issues
Solution Approach 1:
The system proactively monitors tag latency and determines tag states before they cause performance problems. By asynchronously monitoring characteristics and determining deployability in advance, the system prevents latency issues from degrading user experience rather than reacting after problems occur.
Solution Approach 2:
The system dynamically adjusts tag deployment status based on monitored latency characteristics. Tags can transition between deployed and suspended states depending on real-time performance conditions, allowing the system to adapt service functionality to current network and server conditions rather than using a static deployment approach.
2Adaptability or versatility
If third-party services are embedded in websites and applications, then service capabilities are enhanced, but reliability deteriorates when services are slow or unresponsive
Solution Approach 1:
The system continuously monitors tag latency characteristics and uses this feedback to determine tag states and deployability. This closed-loop feedback mechanism ensures that tags are only deployed when they will meet performance thresholds, maintaining service reliability while preserving functionality.
Solution Approach 2:
By determining tag deployability before deployment based on proactive monitoring, the system ensures that only reliable tags are deployed. This preliminary assessment prevents unreliable services from being deployed in the first place, maintaining high service responsiveness.
3Reliability
If asynchronous monitoring of tag latency is implemented, then proactive management of tag performance is achieved, but system complexity increases
Solution Approach 1:
The system monitors its own tag performance and automatically determines deployability without requiring external intervention. The asynchronous monitoring mechanism self-manages tag states based on observed latency characteristics, reducing the need for complex external control systems while maintaining reliable performance management.
4Productivity
If tags are deployed without proactive monitoring, then implementation is simple and fast, but web page performance may be degraded due to unmonitored latency
Solution Approach 1:
The system performs preliminary asynchronous monitoring of tag latency characteristics before deployment decisions are made. This preliminary action happens in the background without blocking the deployment process, maintaining fast deployment speed while ensuring that only performance-appropriate tags are deployed.
Data Source
AI summary
Embodiments are directed towards employing a plurality of tag states to control tag suspension based on an asynchronous process that proactively monitors tag performance, response times, privacy safeguards, and latency. Tags may be in one of multiple states. Tags in a NORMAL state or a FLAGGED state may be enabled for deployment, and tags in a SUSPENSION A state or a SUSPENSION B state may be blocked from deployment. A tag's state may change based on monitoring the tag's latency to determine if latent events occur. Tag latency may be asynchronously monitored independent of web page requests or requests to execute an application. For example, if latent events occur, then the tag's state may change from NORMAL to FLAGGED, and if non-latent events occur, then the tag's state may change from FLAGGED to NORMAL.