Pretrained Models Log Anomaly Detection

Pre-trained Models for Log Anomaly Detection

Summary:

Opni log anomaly detection comes with three specialized pretrained Deep Learning models which are maintained by SUSE Rancher. These models have been optimized to not require a GPU for usage, provide state-of-the-art accuracy and each one has a size just under 80 MB.

Table of contents

• Architecture
• Components
• Scale and performance
• Security
• High availability
• Testing

Architecture:

Components

• Opni Ingest Pipeline
• Opni Preprocessing Service
• Opni Pretrained DRAIN Service
• Opni Pretrained Model Inferencing Service
• Opni Opensearch Updating Service

Scale and performance:

A description of how the system will be scaled and the expected performance characteristics, including any performance metrics that will be used to measure success.

Security:

A description of the security considerations for the system

High availability:

A description of how the system will be designed for high availability, including any redundancy or failover mechanisms that will be implemented.

Testing:

A description of the test plan, including any manual testing and steps to reproduce