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Unified Intelligence Engine - UIE

InsightFinder Unified Intelligence Engine (UIE) platform leverages our advanced AI to seamlessly integrate and analyze diverse data sources, delivering actionable insights for optimal decision-making.

Integrations

Our platform expertly integrates with leading observability solutions and open source monitoring tools, ensuring a comprehensive and versatile approach to achieving AI-driven self-healing and self-optimizing.

Release Notes

Summary of InsightFinder AI's quarterly product release updates.

AI Observability

Manage your AI models to detect and prevent model drift, ensure accuracy, and deliver performance.

IT Observability

Precise anomaly detection with threshold-less alerts, root cause analysis, incident prediction, and automated remediation to ensure continued service delivery.

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Fluentd

Fluentd Integration

InsightFinder can stream the logs from Confluent Kafka topics and correlate it with other data to generate anomalies, automatically identify root causes and predict incidents. Below documentation is a walk through of how to setup and configure a confluent kafka agent and project.

Single Node Manual Installation
Multi-Node Installation Using Ansible

Single Node Manual Installation

  1. Go to InsightFinder Agent td-agent repo
  2. Download fluent-plugin-out-InsightFinder.gemspec and out_InsightFinder.rb
  3. Move these 2 files to either /etc/fluent/plugin or /etc/td-agent/plugin depending on how you install the Fluentd
  4. By default, Fluentd adds the /etc/fluent/plugin directory to its load path. Thus, any additional plugins that are placed in /etc/fluent/plugin will be loaded automatically. If using td-agent, use /etc/td-agent/plugin
  5. Modify the configuration file (should be located in /etc/td-agent/td-agent.conf) of Fluentd, add the section for insight finder plugin according to example file td-agent.conf.example
  6. Restart Fluentd and the data will be ingested into InsightFinder.

Tested with Fluentd version 1.0

Multi-node installation using Ansible

  1. Please follow the ReadMe file in the tg-agent repo
  2. Check this reference documentation

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