Case Study: AI-Native Observability & Incident Management

Unified AI-Native Observability

"Unified, AI-Driven Observability for the Agentic Era."

Password Protected Demo

-60%

MTTR Reduction

100%

Visibility

Global

Scale

The Problem

Fragmented tools (metrics, logs, traces) slow down incident response.
AI agents and microservices create complex, ephemeral failure modes.
Traditional monitoring lacks context for non-deterministic AI behavior.
High MTTR due to manual root-cause analysis across siloed data.

The Vision

A single-pane-of-glass platform that unifies telemetry and uses AI agents to automate detection, diagnostics, and resolution for cloud-native systems.

Expertise Highlights

Architecture

Agentic Observability

Tech Stack

Next.js, Python (FastAPI), Shadcn UI, AI Agents

Impact

Enterprise Reliability

Key Innovations

Unified Telemetry

Metrics, logs, traces, and events in one cohesive graph.

AI Investigator

Conversational agent that queries data and suggests root causes.

Automated Playbooks

Self-healing workflows triggered by intelligent alerts.