Compiled Rule Patterns for Event-Stream Searching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The complexity of managing and maintaining distributed systems has led to inefficient and error-prone manual processes, particularly in provisioning, administering, and managing resources, which results in high costs and requires custom system development for maintenance tasks.
Innovation Solution
A rule evaluation system that compiles rule patterns into a finite-state machine, allowing for efficient event-stream searching and automated action execution within a provider network, using a user interface to define and evaluate rules, and perform actions based on matched patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual maintenance tasks are performed by system administrators, then flexibility and adaptability are maintained, but error rate increases and cost increases
Solution Approach 1:
The system enables self-service automation where event streams automatically trigger rule evaluations and execute maintenance actions without human intervention. The rule evaluation system continuously monitors events, matches them against defined rules, and automatically performs maintenance tasks, eliminating manual errors while reducing reliance on human administrators.
Solution Approach 2:
The system implements feedback loops where the results of maintenance actions are captured and fed back into the event stream. This allows the system to learn from outcomes, adjust rule evaluations, and continuously improve maintenance effectiveness while maintaining automated operation.
2Adaptability or versatility
If custom systems are developed for maintenance tasks, then specific maintenance needs are met, but development cost and time increase
Solution Approach 1:
The rule evaluation system provides a universal platform that can handle multiple types of maintenance tasks through a single system. By using configurable rules that can be defined in various formats (JSON, XML, YAML, CSV), the system adapts to different maintenance needs without requiring custom development for each task type.
Solution Approach 2:
The system allows maintenance behavior to be changed by modifying rule parameters rather than developing new systems. Rules can be configured with different event patterns, actions, and conditions, enabling the same underlying system to adapt to various maintenance scenarios through parameter adjustment rather than structural changes.
3Productivity
If rule patterns are evaluated against event streams without compilation, then flexibility is maintained, but evaluation efficiency decreases
Solution Approach 1:
The system performs preliminary compilation of rule patterns into optimized data structures before event stream evaluation. Rules are pre-processed, validated, and converted into efficient evaluation formats during system initialization or rule loading, enabling fast evaluation during runtime without sacrificing flexibility.
Solution Approach 2:
The rule evaluation system segments the evaluation process into distinct phases: rule compilation, event stream processing, and action execution. This segmentation allows each phase to be optimized independently, with compilation handling complexity upfront and evaluation focusing on speed during runtime.
Data Source
AI summary
Methods, systems, and computer-readable media for implementing event-stream searching using compiled rule patterns are disclosed. A rule base is compiled based at least in part on one or more rule patterns. The field names are sorted within the rule patterns. The rule patterns comprise one or more field names and one or more field values. The rule base represents a finite-state machine comprising a plurality of states. A plurality of events are received. The events comprise field names and field values describing events associated with resources in a provider network. The field names are sorted within the events. The rule patterns are evaluated against the events using the rule base. In determining a matched rule pattern for one of the events, the finite-state machine transitions between at least two of the states for the matched rule pattern.