Performance Dashboard

Real-time analytics and comprehensive insights into the Infrnce classification engine performance

42% load
Stage 1: Regex Engine
Lightning-fast pattern matching

Handles standard infrastructure logs with millisecond response times using optimized regex patterns.

Response:<1ms
Accuracy:98.7%
26% load
Stage 2: BERT Model
Contextual understanding AI

Fine-tuned transformer for complex application logs and multi-line error messages.

Response:~50ms
Accuracy:95.2%
21% load
Stage 3: LLM Fallback
Advanced reasoning engine

Handles highly complex, novel, or ambiguous log entries with advanced AI reasoning.

Response:~200ms
Accuracy:96.8%
Intelligent Routing Architecture
Multi-tiered classification pipeline optimized for speed and accuracy
Pipeline Flow Visualization
Regex → BERT → LLM Pipeline

Our intelligent routing system directs log messages through a sophisticated multi-tiered classification pipeline. Simple patterns are handled by lightning-fast regex engines, while complex logs are escalated to BERT models and, when necessary, to advanced LLM processing. This approach optimizes both speed and accuracy while maintaining exceptional cost efficiency across the entire classification workflow.

Performance & Cost Metrics
Real-time performance indicators and cost analysis

Performance

Classification Accuracy94.3%
Overall Coverage92.7%
Logs/sec Throughput~260

Cost Analysis

Regex/1k logs$0.00
BERT/1k logs$0.03
LLM/1k logs$0.23
Engine Stage Deep Dive
Detailed workload distribution and stage capabilities

94.3%
Overall Accuracy
23ms
Avg Response
260/s
Throughput
$0.018
Cost/1k logs

Performance Metrics Disclaimer

The performance metrics and cost analyses presented above are projected results based on small-scale testing and theoretical modeling. These figures have not been validated at enterprise scale and should be considered as preliminary estimates. Actual performance may vary significantly depending on log complexity, volume, infrastructure configuration, and deployment environment.