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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.
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.
Summary of InsightFinder AI's quarterly product release updates.
Manage your AI models to detect and prevent model drift, ensure accuracy, and deliver performance.
Precise anomaly detection with threshold-less alerts, root cause analysis, incident prediction, and automated remediation to ensure continued service delivery.
InsightFinder can source the change events from GitAction and correlate it with other data to generate anomalies and root causes. Below documentation is a walk through of how to configure Git Action and InsightFinder integration.
Information needed:
name: CI
# Controls when the workflow will run
on:
# Triggers the workflow on push for the main branch
push:
branches: [ main ]
jobs:
# This workflow contains a single job to send the commit message to InsightFinder by Post request call
curl:
# The type of runner that the job will run on
runs-on: ubuntu-latest
steps:
– name: send deployment data
uses: dkershner6/post-api-call-action@v1
with:
# URL to send post request to
url: https://app.insightfinder.com/api/v1/deploymentEventReceive
# JSON string of data to pass into request, including the InsightFinder projectName, userName and the licenseKey
# In the deploymentData, you need to set the InstanceName, the timestamp and the data is auto generated
data: ‘{“projectName”:””,”userName”:””, “licenseKey”:””,”deploymentData”:[{“instanceName”:””, “timestamp”: “${{github.event.repository.pushed_at}}000”, “data”:${{toJSON(github.event.commits[0])}}}]}’
headers: ‘{“agent-type”:”Stream”}’
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