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Pretrained Models Log Anomaly Detection

Amartya Chakraborty edited this page Jan 24, 2023 · 10 revisions

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:

Workload Log Anomaly Detection Architecture

Opni Ingest Plugin

Opni Ingest Plugin

Opni Preprocessing Service

Opni Preprocessing Service

Opni Pretrained DRAIN Service

Opni Workload DRAIN Service

Opni Pretrained Inferencing Service

Opni Pretrained Model Inferencing Service

Opni Opensearch Update 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

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