REAL-TIME OBSERVABILITY AND ENHANCED RESILIENCY FOR EVENT PROCESSING PIPELINES

Smart overview of the Invention

The patent application introduces a system for enhancing the real-time observability and resiliency of event processing pipelines within event-driven architectures (EDA). This system curates runtime information from various components of the pipeline, which includes real-time metrics, logs, event tracing data, and configuration details. By correlating this data, the system generates a comprehensive runtime dataset, allowing predictive analytics to forecast potential anomalies. A fault circuit interrupt machine (FCIM) then evaluates these anomalies, suggesting remediation actions based on user-defined resiliency settings. This approach provides a real-time, holistic view of the event processing pipeline, highlighting predicted anomalies and recommended actions.

Event-Driven Architecture

Event-driven architecture is a design model that focuses on the real-time capture and processing of events, allowing systems to respond promptly to changes. It contrasts with traditional architectures that store static data, emphasizing the timely reaction to events. In such systems, event producers like microservices and IoT devices send notifications to consumers, triggering specific responses. A key advantage of this architecture is the decoupling of front-end and back-end components, enabling asynchronous event processing and independent system operation.

System Functionality

The system described in the patent application offers a method for creating a detailed view of an event processing pipeline's runtime characteristics. This involves aggregating runtime metrics, logs, and event tracing data to form a correlated dataset. Predictive models analyze this data to forecast anomalies, which are then processed by the FCIM to determine appropriate remediation actions. These actions are tailored to user-defined resiliency configurations and aim to address potential performance issues proactively.

Implementation and Benefits

The patent outlines various embodiments, including a method, a computer program product, and a system/apparatus for executing the described operations. These implementations enable real-time monitoring and predictive analytics, offering insights into the performance of event processing pipelines. By automating remediation actions, the system enhances the pipeline's resiliency and efficiency, reducing manual intervention and improving overall system performance.

Practical Applications

The patent provides examples of how the system can be applied to complex EDA systems. For instance, it describes scenarios where event processing pipelines handle tasks such as detecting fraudulent transactions, verifying account access, and processing vendor payments. By incorporating predictive analytics and automated remediation, the system can dynamically adjust event flows, perform offline batch processing, or fail events where necessary to optimize pipeline performance.