Skip to main content
Logo
  • Learning Center
Submit a request Sign in
  1. Q-Sensei
  2. Documentation

Documentation

Q-Sensei Fuse – Core Data Platform

  • Components
  • APIs
  • Advanced Log Aggregation

Architecture

  • Q-Sensei SaaS AWS Architecture
  • Single Deployment Architecture
  • Multiple Deployments Architecture
  • Security

Connectors

  • Q-Sensei Connectors
  • Q-Sensei’s Kafka Connector
  • Fluentd Connector
  • Fluent Bit Connector
  • Integrations

Analytical UI

  • Dashboards
  • Event Analysis
  • Metrics Analysis
  • Outlier Analysis

Outlier and Anomaly Detection

  • Automated Outlier Detection
  • Method for Outlier Detection: Box Plot - Standard
  • Method for Outlier Detection: Box Plot - Strict
  • Method for Outlier Detection: Standard Deviation - Standard
  • Method for Outlier Detection: Random cut forest (RCF)
  • Method for Anomaly Detection: Standard Deviation – Sliding Temporal Window

Dashboards & Alerts

  • Personalized Dashboards
  • Alert Configuration

Manager UI

  • Introduction
  • Deployment Overview
  • Deployment Details
  • Configure Connector
  • User Management
  • Delete a Deployment
  • See all 7 articles
Logo
Our Mission is to build the most powerful, yet easy to use products that help Data Science experts and non-experts find, mine, and leverage data.
Q-SENSEI LOGS
  • Features
  • Pricing
  • Free Trial
RESOURCES
  • Why Q-Sensei
  • Interactive Demos
Q-SENSEI
  • Contact Us
  • Privacy&Terms
All rights reserved by Q-Sensei Corp. © 2021