From 4a918e4f14f6ea321ed818bada3b1f9c5aaa5685 Mon Sep 17 00:00:00 2001 From: markjuliusbanasihan <90214617+mj3b@users.noreply.github.com> Date: Thu, 19 Jun 2025 22:50:49 -0400 Subject: [PATCH] docs: streamline README --- README.md | 190 +++--------------------------------------------------- 1 file changed, 8 insertions(+), 182 deletions(-) diff --git a/README.md b/README.md index d8569f30d..afa14ad50 100644 --- a/README.md +++ b/README.md @@ -11,6 +11,7 @@ **Optimized for Atlassian Cloud**: JUNO is designed for secure, high-performance deployments. It leverages Atlassian's APIs and cloud-native practices to integrate seamlessly with enterprise environments.
Important Notes: JUNO leverages advanced generative AI. Review the technical specifications and enterprise implementation guide before deploying in production.
+For full documentation and deployment guides, see the [docs directory](./docs/). --- ## Table of Contents @@ -18,64 +19,17 @@ - [Overview](#overview) - [Problem Statement & Solution Architecture](#problem-statement--solution-architecture) - [Phase-Based Agentic AI Maturity Model](#phase-based-agentic-ai-maturity-model) -- [Why This Architecture Matters](#why-this-architecture-matters) -- [Strategic Outcome](#strategic-outcome) -- [How to Add These Sections in Your README.md](#how-to-add-these-sections-in-your-readmemd) - [Architecture](#architecture) - - [Microservices Architecture](#microservices-architecture) - - [Technology Stack](#technology-stack) - [Phase Implementation](#phase-implementation) - - [Phase 1: Analytics Foundation](#phase-1-analytics-foundation) - - [Phase 2: Agentic Workflow Management](#phase-2-agentic-workflow-management) - - [Phase 3: Multi-Agent Orchestration](#phase-3-multi-agent-orchestration) - - [Phase 4: AI-Native Operations](#phase-4-ai-native-operations) - [Quick Start](#quick-start) - - [Prerequisites](#prerequisites) - - [Local Development Setup](#local-development-setup) - - [Configuration](#configuration) - - [Verification](#verification) - [Code Structure](#code-structure) - - [Directory Overview](#directory-overview) - - [Core Components](#core-components) -- [Visual Interface Showcase](docs/visual-showcase.md) - - [Phase-Specific Components](#phase-specific-components) - [Enterprise Deployment](#enterprise-deployment) - - [Production Architecture](#production-architecture) - - [High Availability Configuration](#high-availability-configuration) - - [Security Configuration](#security-configuration) -- [API Reference](#api-reference) - - [RESTful API](#restful-api) - - [GraphQL API](#graphql-api) - - [WebSocket API](#websocket-api) -- [Performance Benchmarks](#performance-benchmarks) - -- [Security & Compliance](#security--compliance) - - [Security Features](#security-features) - - [Compliance Frameworks](#compliance-frameworks) - - [Audit Trail](#audit-trail) - [Documentation](#documentation) - - [Directory Structure](#directory-structure) - - [For Executives](#for-executives) - - [For Engineering Managers](#for-engineering-managers) - - [For Developers](#for-developers) - - [For DevOps](#for-devops) - - [Enterprise GPT Integration](#enterprise-gpt-integration) ⭐ - [Testing](#testing) - - [Comprehensive Test Suite](#comprehensive-test-suite) - - [Test Results Summary](#test-results-summary) - [Contributing](#contributing) - - [Development Setup](#development-setup) - - [Code Standards](#code-standards) - - [Contribution Process](#contribution-process) + - [License](#license) -- [Visual Interface Showcase](docs/visual-showcase.md) - [Support](#support) - - [Enterprise Support](#enterprise-support) - - [Community Support](#community-support) ## Overview @@ -193,151 +147,23 @@ juno-repo/ ## Phase Implementation -### Phase 1: Analytics Foundation -
Expand Phase 1 details - - -**Status**: -🚧 Prototype - -**Capabilities**: R -eactive analytics, insights, and reporting - -**Deployment**: -2 weeks - -**Use Case**: -Establish baseline metrics and team adoption - -**Core Components**: -- **Data Extractor**: Jira API integration and data normalization -- **Analytics Engine**: Statistical analysis and trend detection -- **Visualization Engine**: Interactive charts and dashboards -- **Query Processor**: Natural language query interpretation - -**Performance Metrics**: -- Data extraction latency: 45ms average -- Report generation: 2.3s average -- Query accuracy: 94.8% -- System uptime: 99.95% - -
- -### Phase 2: Agentic Workflow Management -
Expand Phase 2 details - - -**Status**: -🚧 Prototype - -**Capabilities**: -Autonomous decision-making with governance oversight - -**Deployment**: -6-8 weeks - -**Use Case**: -Transform workflows from reactive to proactive - -**Core Components**: -- **Memory Layer**: Episodic, semantic, procedural, and working memory -- **Reasoning Engine**: Multi-factor confidence scoring with audit trails -- **Risk Forecasting**: Predictive analytics with 89%+ accuracy -- **Governance Framework**: Role-based approval workflows -- **Test Defect Diagnostics**: Automatic analysis of failing tests - -**Performance Metrics**: -- Decision latency: 127ms average -- Risk prediction accuracy: 89.3% -- Autonomous action approval rate: 87.2% -- System uptime: 99.97% - -
- -### Phase 3: Multi-Agent Orchestration -
Expand Phase 3 details - +JUNO evolves through four phases: -**Status**: -🚧 Prototype - -**Capabilities**: -Cross-team workflow coordination and distributed consensus - -**Deployment**: -3-6 months - -**Use Case**: -Organization-wide workflow automation - -**Core Components**: -- **Consensus Protocol**: Raft-based distributed agreement -- **Agent Coordination**: Task distribution and dependency management -- **Service Discovery**: Dynamic agent registration and health monitoring -- **Fault Tolerance**: Automatic failover and task redistribution - -**Performance Targets**: -- Consensus latency: <100ms -- Fault recovery time: <30s -- Scalability: Linear to 50+ agents -- Coordination efficiency: >95% - -
- -### Phase 4: AI-Native Operations -
Expand Phase 4 details - - -**Status**: -🚧 Prototype - -**Capabilities**: -Self-optimizing, self-healing operations - -**Deployment**: -6-12 months - -**Use Case**: -Autonomous infrastructure and process optimization - -**Core Components**: -- **Reinforcement Learning**: Continuous system optimization -- **Threat Detection**: ML-based security monitoring -- **Predictive Scaling**: Workload-based resource allocation -- **Self-Healing**: Automated incident response and recovery - -**Performance Targets**: -- Optimization improvement: >15% -- Threat detection accuracy: >96% -- Automated resolution rate: >89% -- MTTR: <5 minutes - -
- ---- +1. **Phase 1 – Analytics Foundation** – summarize Jira data and expose metrics. [Guide](./docs/deployment/phase1-analytics-foundation.md) +2. **Phase 2 – Agentic Workflow Management** – add reasoning and memory layers. [Guide](./docs/deployment/phase2-agentic-ai.md) +3. **Phase 3 – Multi-Agent Orchestration** – coordinate insights across teams. [Guide](./docs/deployment/phase3-multi-agent-orchestration.md) +4. **Phase 4 – AI-Native Operations** – enable self-healing, autonomous workflows. [Guide](./docs/deployment/phase4-ai-native-operations.md) ## Quick Start -
Expand Quick Start instructions -A minimal setup to launch JUNO locally. For the full environment setup and -detailed instructions, see the -[Quick Start guide](./docs/getting-started/quick-start.md). +Clone the repository and run the deployment script to start JUNO locally. For detailed setup instructions, see the [Quick Start guide](./docs/getting-started/quick-start.md). ```bash -# Clone repository git clone https://github.com/mj3b/juno.git cd juno - -# Install dependencies and prepare the environment ./deploy.sh - -# Start JUNO Phase 2 locally ./start_juno.sh - -# Open the dashboard -open http://localhost:5000 ``` -
## Code Structure
Expand Code Map