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DataFlint Dashboard - Monitoring & Cost

SaaS

See every Spark job, quantify spend, and fix the right things first. Company-wide observability powered by our compressed production context with stage-level cost attribution and ranked optimization opportunities.

Monitor

Company-wide job health monitoring with instant RCA (root cause analysis) alerts across all clusters, powered by compressed production logs.

Optimize

Stage-level cost attribution with ranked optimization opportunities by $ impact and effort.

Integrate

Bridge production alerts to development context - jump from dashboard alert to exact code line via MCP integration for immediate fixes.

Everything you need to monitor and control Spark in one place

Unified dashboard for job health, cost optimization, and performance insights across your entire Spark infrastructure.

DataFlint Dashboard - Complete Spark monitoring and cost control dashboard

What you get (SaaS features)

SaaS
Org-wide dashboards & alerts powered by 100x compressed production logs
Cost attribution with opportunity ranking by $ impact
Managed Spark History Server for centralized job tracking
Real-time RCA (root cause analysis) with automated alerts
Team-based cost tracking and accountability metrics

Close the loop with the IDE

Bridge the gap between production monitoring and development - turn dashboard alerts into code fixes without leaving your editor.

SaaS
Deep link: dashboard alert → stage analysis → exact code line via MCP integration.
AI-powered fix suggestions in VS Code/Cursor/IntelliJ based on production cost data.
Real-time cost analysis warnings when code changes risk budget overruns.
Seamless workflow: monitor in dashboard, optimize in IDE, validate with production metrics.
Dashboard AlertStage AnalysisIDE Fix

DataFlint Monitoring in Action

See how DataFlint provides company-wide observability and cost optimization in real-time.

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Ready to optimize costs and gain company-wide Spark visibility?

Discover how our SaaS dashboard leverages 100x compressed production logs to provide stage-level cost attribution and ranked optimization opportunities across all your Spark workloads. See real cost savings potential and get actionable insights for your entire data platform.