Event Failure Tracking for Accurate Real-Time Data Streaming
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Solution Overview
Problem
Existing systems fail to reliably track and resolve failures in processing real-time data streams, leading to inaccurate and unreliable delivery of downstream data, which can cause system errors and delays.
Innovation Solution
An event failure tracker is implemented to monitor and track failures in real-time data processing, using an incremental counter to detect when all failures have been resolved, ensuring accurate and timely data delivery by republishing failed events to a retry queue for reprocessing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time data streaming is implemented for downstream services, then data delivery speed is improved, but processing failures and timeouts increase leading to inaccurate data delivery
Solution Approach 1:
The system implements a feedback mechanism where the event failure tracker monitors processing status of events and provides feedback to the event streaming framework. When failures are detected, the system tracks their resolution status and uses this feedback to determine when data is ready for downstream consumption, ensuring accuracy without sacrificing speed.
Solution Approach 2:
The event failure tracker acts as an intermediary component between the event streaming framework and downstream services. It mediates by tracking failed events and their resolution status, allowing the system to confidently determine when data is ready for delivery without needing to implement complex retry mechanisms that would slow down data flow.
2Reliability
If failure tracking mechanisms are added to monitor processing status, then data delivery reliability is improved, but system complexity increases
Solution Approach 1:
The failure tracking functionality is extracted as a separate, dedicated event failure tracker component. This extraction allows the tracking mechanism to be isolated and simplified, handling only the specific task of monitoring failure resolution status without adding complexity to the broader event streaming framework or downstream services.
Solution Approach 2:
The event failure tracker operates autonomously by monitoring its own tracking table to determine when failures are resolved. It self-services the reliability function by independently tracking processing status and providing ready-made determination of data availability, eliminating the need for complex coordination between multiple system components.
3Reliability
If failed events are retried for reprocessing, then data processing completeness is improved, but processing time and delays increase
Solution Approach 1:
The system performs preliminary action by tracking failed events and their resolution status in advance. Instead of implementing continuous retry loops that cause delays, the event failure tracker proactively monitors when failures are resolved and uses this information to determine data readiness, allowing downstream services to consume data as soon as it is complete without unnecessary processing delays.
Data Source
AI summary
Accuracy and speed improvements for data computing results are provided herein, particularly in the context of data event streaming services and downstream data computing processes. There are provided systems and methods for failure tracking with real-time data event streaming for data quality checks. A service provider may utilize different computing services for event processing and storing for downstream applications and services in a production computing environment. Due to issues in data loading and/or processing, certain events when streamed may fail to be processed and/or stored for availability to further system components. A failed event tracker may be implemented where, when events fail to process in an original processing queue, the tracker may detect the failure and write an identifier for the event to a table in an accessible database. The tracker may the republish the event via a retry processing queue using the identifier and may track for completion.