Superview for Metrics: All Your Observability Data in One Place
Break down silos and unify metrics from Prometheus, Datadog, CloudWatch, and more into a single intelligent view
Modern infrastructure is a patchwork of monitoring tools: Prometheus for Kubernetes, Datadog for APM, CloudWatch for AWS, custom exporters for legacy systems. Engineers waste hours switching between tools, manually correlating metrics, and losing context.
Superview for Metrics solves this by creating a unified, intelligent layer that aggregates all your metrics into a single pane of glass with AI-powered insights.
The Multi-Tool Problem
Tool Sprawl - Teams use 5-10 different monitoring tools, each with its own interface
Manual Correlation - Engineers mentally connect data across tools during incidents
Cost Duplication - Paying for multiple overlapping monitoring solutions
How Superview Works
1. Universal Connectors
Integrates with Prometheus, Datadog, New Relic, CloudWatch, AppDynamics, and custom metrics APIs
2. Intelligent Normalization
AI automatically maps similar metrics across tools (e.g., "cpu_usage" in Prometheus = "system.cpu.usage" in Datadog)
3. Unified Query Interface
Single query language to fetch metrics from any source, no need to learn each tool's syntax
4. Cross-Source Correlation
Automatically correlates metrics from different tools during incident analysis
Real Impact
Unify Your Observability Stack
Stop jumping between tools. See everything in one intelligent view.
Shafi Khan
Founder & CEO, AutonomOps AI
Building the future of autonomous site reliability engineering.