Velaxe
InsightLake — Analytics Warehouse & BI for the Velaxe Suite | Velaxe

InsightLake

Turn on anomaly detection for key metrics

Enable ML shelf detectors for timeseries and route actionable alerts.

18 min Intermediate SRE/Ops, Analyst Updated Oct 1, 2025
View App All Guides

Overview

Enable ML shelf detectors for timeseries and route actionable alerts.

Prerequisites

None.

Permissions required

alerts:write datasets:read

Steps (3)

Estimated: 18 min
  1. 1

    Select metrics

    Analyst 6 min Back to top

    ML Shelf → **Detectors**. Choose DELIVERY_SUCCESS_RATE, PAY_AUTH_RATE, MOS, etc.

    Tips

    —

    Validation

    —

    Success criteria

    —

  2. 2

    Configure sensitivity

    Analyst 6 min Back to top

    Pick seasonality, confidence, and warm‑up window; preview detections.

    Tips

    —

    Validation

    —

    Success criteria

    —

  3. 3

    Attach alert routes

    Ops 6 min Back to top

    Send anomalies to Slack/PagerDuty and optionally auto‑trigger FlowForge remediation.

    Tips

    —

    Validation

    —

    Success criteria

    • Synthetic drop test produces one actionable incident with context.

About this guide

InsightLake centralizes analytics for your Velaxe workspace. Connect built-in streams from Agent Desk, LiveConnect, PulseGate, VoiceLink, FlowForge, Chronicle, ActionDesk, PayStream, SecureStore, AppBazaar, ProductCatalog, and Chat Core—plus curated external sources like GA4, Stripe, and Shopify.

Data is modeled into conformed dimensions and fact tables for predictable analysis. Publish templated dashboards in one click, build custom boards with a drag-and-drop builder or SQL, and schedule alerts and exports. Governance features include row-level security, column masking for PII, audit logs, and retention controls.

InsightLake is designed for speed and reliability with streaming ingestion, materialized views, and SLAs for load times and export delivery.