Platform Overview

Overwatch Platform Overview

Version 1.0 | Production Ready | Last Updated: October 2025

Welcome to Overwatch, an AI-powered incident resolution platform designed to help DevOps teams resolve incidents faster and more reliably through intelligent, turn-by-turn guidance.

What is Overwatch?

Overwatch is a production-ready platform that provides:

AI-Powered Resolution: Semantic search and intelligent solution suggestions
Turn-by-Turn Guidance: Step-by-step resolution procedures with execution tracking
Context Extraction: Automatic context gathering from monitoring platforms
Real-Time Collaboration: WebSocket-powered live team collaboration
Enterprise Integration: Native support for Datadog, New Relic, Grafana, PagerDuty, and more

Key Features

AI-Powered Resolution

Semantic Search: AI-powered vector search using Weaviate for finding relevant solutions
LLM Layer 3: AWS Bedrock integration for AI-generated solutions when needed
Context Extraction: Automatic context gathering from monitoring platforms via Chrome extension
Learning System: Platform learns from successful incident resolutions

Collaboration & Workflow

Real-Time Updates: WebSocket-powered live collaboration with automatic sync
Multi-Tenant Architecture: Secure organization isolation with comprehensive RBAC
Role-Based Access: Granular permissions for Engineers, Managers, Admins, and Viewers
Audit Trail: Complete activity logging for compliance and post-incident analysis

Integration Ecosystem

Monitoring Platforms:

Datadog - Complete monitors API integration
New Relic - NerdGraph GraphQL client with NRQL support
Grafana - LogQL/PromQL parsers with alert rules
PagerDuty - Incident webhooks and escalation policies
Prometheus - PromQL queries and Alertmanager integration
Elasticsearch - Watcher API and alert rule management
SigNoz - OpenTelemetry-based observability
Slack - Webhook processing and notifications

Browser Integration:

Chrome Extension - Browser overlay for context extraction from observability platforms
On-Demand Reporting - Report problems directly from monitoring dashboards
Platform Detection - Automatic detection of alerts across multiple platforms

API-First Design:

Comprehensive REST API for custom integrations
WebSocket API for real-time features
JavaScript and Python SDKs (coming soon)
Webhook support for external notifications

Enterprise Features

SSO Authentication: JWT-based authentication with API key support
Advanced Analytics: Performance metrics, incident insights, and LLM cost monitoring
Resource Management: Usage tracking and quota management by subscription tier
High Availability: AWS-optimized architecture supporting 100+ concurrent users
Security: SOC 2 ready, GDPR compliant, comprehensive audit logging

Use Cases

DevOps Teams

Incident Response: Streamlined incident management with AI assistance
Knowledge Sharing: Centralized runbook library for consistent procedures
Performance Tracking: Analytics to improve MTTR and resolution success rates
Team Coordination: Real-time collaboration during critical incident response

Site Reliability Engineers

Proactive Monitoring: Integration with observability platforms for early detection
Automated Procedures: Executable runbooks with approval workflows and gates
Post-Incident Analysis: Comprehensive incident analysis and learning loops
Escalation Management: Structured escalation paths and multi-channel notifications

Engineering Managers

Team Performance: Analytics dashboard for team effectiveness and MTTR trends
Process Standardization: Standardized procedures across teams and services
Resource Planning: Usage metrics for capacity planning and cost management
Compliance Reporting: Audit trails for regulatory requirements

Architecture Highlights

3-Tier Architecture

Presentation Layer: Next.js 15 frontend with server-side rendering
Application Layer: FastAPI async backend with business logic services
Data Layer: PostgreSQL (relational), Redis (cache), Weaviate (vector search)

Search Orchestrator - 3-Layer Evolution

Current Phase 1: Layer 2 (Weaviate public database) Phase 2 Ready: Layer 1 → Layer 2 → Layer 3 cascade

Layer 1 (Customer): 0.8-1.0 confidence - Organization-specific historical solutions
Layer 2 (Public): 0.7-0.9 confidence - Community knowledge base from Weaviate
Layer 3 (LLM): 0.6-0.8 confidence - AI-generated solutions via AWS Bedrock

Multi-Tenant Isolation

All database models have organization_id for data isolation
SQLAlchemy queries automatically filtered by organization context
RBAC enforced at service layer before database access
Zero cross-organization data leakage

System Requirements

Browser Support

Modern browsers with JavaScript enabled (Chrome, Firefox, Safari, Edge)
Chrome/Chromium-based browsers for extension features
WebSocket support for real-time features

Network Requirements

HTTPS endpoints with valid authentication
WebSocket connections for live collaboration
Outbound HTTPS for integration webhooks

Security & Compliance

Data encryption in transit (TLS 1.2+) and at rest
SOC 2 ready security controls
GDPR compliant data privacy controls
Comprehensive audit logging for compliance

What’s Next?

Ready to get started with Overwatch? Here are your next steps:

For New Users

Quickstart Guide - Get up and running in 15 minutes
Key Concepts - Understand core platform concepts
User Guide - Learn day-to-day operations

For Administrators

Admin Guide - Configure your organization
User Management - Invite team members and assign roles
Integrations - Connect your observability platforms

For Developers

API Documentation - Explore the REST API
WebSocket API - Implement real-time features
SDKs - Use JavaScript or Python SDKs

Getting Help

In-App Help: Access help documentation directly in the platform (press ? key)
API Documentation: Interactive API docs at /docs endpoint
Troubleshooting: See Troubleshooting Guide for common issues
Support: Contact your system administrator for organization-specific help

Version History

Version 1.0 (October 2025) - Production Release

✅ Complete full-stack application with all Phase 1 features
✅ Multi-tenant architecture with enterprise RBAC
✅ AI-powered vector search and semantic incident resolution
✅ LLM Layer 3 with AWS Bedrock (Claude Sonnet, Nova Lite, GPT-4)
✅ Real-time collaboration via WebSocket
✅ Complete integrations with 8 major observability platforms
✅ Chrome extension for context extraction and on-demand reporting
✅ Comprehensive analytics, dashboards, and LLM cost monitoring
✅ AWS-optimized production architecture

Coming in Phase 2

Customer-specific vector database (Layer 1 search)
Community-driven knowledge sharing with voting and reputation
Enhanced LLM analytics and cost optimization
Extended integration ecosystem
Advanced analytics and predictive incident detection

For technical support or feature requests, please contact your system administrator or refer to the Troubleshooting Guide.