Atlas SRE

Zero-Backend Client-Side RAG

Operational Knowledge, instantly accessible.

Atlas SRE is an AI-Powered Engineering Incident Intelligence System. It securely parses your postmortems and architecture docs directly in the browser, eliminating the need for centralized vector clouds.

Explore Architecture
Gemini 3.5 Flash/Pro Active
Knowledge Base
2024_Redis_Outage.pdf
API_Gateway_Architecture.pdf
Core_SLOs_Runbook.pdf

How do we mitigate a cache stampede based on the Redis incident?

Retrieval Score: 0.94 | Chunks: 3

Based on the 2024 Redis Outage Postmortem, the primary mitigation strategy for a cache stampede involves implementing probabilistic early expiration and strict connection pooling limits.

> "To prevent simultaneous cache misses overwhelming the database, a jittered TTL strategy was deployed across all regional Redis clusters."
2024_Redis_Outage.pdf (Pg 4) Core_SLOs_Runbook.pdf (Pg 12)

Strictly Local RAG Pipeline

Atlas operates entirely within your browser using local TF-IDF overlap evaluation, ensuring absolute privacy for your sensitive infrastructure data.

1. Ingest

Drag & drop sensitive PDFs. Text layer extraction happens via PDF.js Web Workers locally.

2. Index

Local TF-IDF lexical engine chunks and mathematically indexes text entirely in-memory.

3. Retrieve

Lightning-fast keyword overlap scoring fetches the most relevant context securely.

4. Generate

Gemini 3.5 Flash/Pro synthesizes a cited response using only your provided context.

Core Modules

Everything you need to triage incidents and explore architecture, built right in.

AI Incident Investigator

A specialized chat interface utilizing Gemini 3.5 Flash/Pro for context-aware synthesis. Ask about recent incidents, trigger instant macros like "Draft RCA", and monitor confidence via the RAG Transparency Log.

  • Interactive PDF Citation Chips
  • RAG Transparency Log
  • Live LLM Parameter Control

Knowledge Base Management

Drag-and-drop PDF ingestion with high-fidelity canvas rendering via PDF.js. Your documents stay local while live metrics track extracted chunks and total document count.

  • 18-Doc Preloaded Demo Dataset
  • Real-Time Lexical Overlap Indexing
  • High-Fidelity Canvas Rendering

Service Explorer

An automated operational dependency mapper that parses uploaded architecture documentation and visualizes relationships between critical services using an elegant ASCII-style tree topology.

  • Automated Dependency Mapping
  • ASCII-Style Topology Trees
  • Architecture Document Parsing

Ready to query your infrastructure?

Enter the workspace to load the demo dataset or securely upload your own operational documentation.

Incident Copilot