From 99accbffec0c0619fde6d8450e0da2a657c42c56 Mon Sep 17 00:00:00 2001
From: Debasis Ghosh <65386308+debdevops@users.noreply.github.com>
Date: Thu, 26 Mar 2026 14:10:50 +0530
Subject: [PATCH] Add new screenshots and update documentation
- Added multiple new screenshots to the archive for various features and UI elements.
- Created package.json and package-lock.json for Playwright dependency.
- Removed outdated DOCUMENTATION_INDEX.md file.
- Updated README.md to reflect changes in documentation structure and removed references to the deleted index.
---
README.md | 776 ++++++------------
REMOTE_ACCESS.md | 174 ----
docs/PERMISSIONS.md | 86 --
docs/SCREENSHOTS.md | 331 --------
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...3-feature-message-details-custom-props.png | Bin
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.../14-fab-generate-messages-dialog.png | Bin 0 -> 160850 bytes
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.../{ => archive}/26-row-ui-new-feature.png | Bin
.../{ => archive}/27-dlq-enhancement.png | Bin
.../{ => archive}/28-dlq-intelligence.png | Bin
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.../34-post-replay-all-messages.png | Bin
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docs/screenshots/servicehub-demo.gif | Bin 0 -> 1483901 bytes
package-lock.json | 59 ++
package.json | 5 +
services/api/DOCUMENTATION_INDEX.md | 450 ----------
services/api/README.md | 7 +-
112 files changed, 330 insertions(+), 1558 deletions(-)
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delete mode 100644 services/api/DOCUMENTATION_INDEX.md
diff --git a/README.md b/README.md
index bf5bed1..e9fff17 100644
--- a/README.md
+++ b/README.md
@@ -1,645 +1,426 @@
+
+
# ServiceHub
-**The Forensic Debugger for Azure Service Bus Incidents**
+### The Forensic Debugger for Azure Service Bus
-When production breaks at 2 AM and you need to see **what's inside your queues** โ not just message counts.
+**See what's inside your queues โ not just message counts.**
-
+
[](LICENSE)
-[](https://dotnet.microsoft.com/download/dotnet/10.0)
-[](https://react.dev/)
-[](https://www.typescriptlang.org/)
-
----
-
-## โจ What's New in v2.0
+[](https://dotnet.microsoft.com/)
+[](https://react.dev/)
+[](https://www.typescriptlang.org/)
-๐ฏ **DLQ Intelligence System** โ Persistent tracking of dead-letter messages with categorization and timeline
-โก **Auto-Replay Rules** โ Define conditional replay rules with live statistics (Pending/Replayed/Success)
-๐ **Batch Replay All** โ Replay multiple DLQ messages with one click (optimized for O(N) performance)
-๐ **Instant Scanning** โ "Scan Now" button for immediate DLQ polling (bypasses background schedule)
-๐ **Export Capabilities** โ Download DLQ data as JSON/CSV for reporting
-๐จ **Enhanced UI** โ Improved message row display with better visual hierarchy
+[Get Started](#-quick-start) ยท [Features](#-features) ยท [Screenshots](#-screenshots) ยท [API Docs](#-api-documentation) ยท [Contributing](#-contributing)
-[See screenshots 26-35](#-dlq-intelligence--auto-replay-system) | [Read changelog](#roadmap)
+
---
-## The Problem: Blind Incident Response
+## Why ServiceHub?
-You're troubleshooting a Service Bus incident. Azure Portal shows **5,000 messages in Dead-Letter Queue**, but:
+Production breaks at 2 AM. Azure Portal shows **5,000 messages in Dead-Letter Queue** but you can't read them โ only counts and metadata. You manually sample messages one by one, spending hours on what should take minutes.
-โ **Can't read message content** โ Portal only shows counts and basic metadata
-โ **No search capability** โ Can't find messages by correlation ID or customer ID
-โ **No pattern analysis** โ Can't identify which error types are dominating
-โ **Manual investigation** โ Sample one message at a time with no bulk insight
-โ **Limited DLQ context** โ Can't see failure reasons across all dead-lettered messages
+**ServiceHub is a self-hosted web application that lets you browse, search, and analyze Azure Service Bus messages in real time** โ like email for your message queues.
-**Result:** 2-hour incidents become 6-hour marathons of blind debugging.
+| Capability | Azure Portal | ServiceHub |
+|---|---|---|
+| View message content | Count only | Full body + properties |
+| Search messages | Not available | Full-text search |
+| DLQ investigation | One at a time | Batch analysis + AI |
+| Pattern detection | Not available | AI-powered clustering |
+| Replay from DLQ | Not available | One-click replay |
+| Access | Cloud portal | Any browser |
---
-## ServiceHub vs. Azure Tools
-
-| **Capability** | **Azure Portal** | **Service Bus Explorer** | **ServiceHub** |
-|----------------|------------------|--------------------------|----------------|
-| **View Message Content** | โ Count only | โ
Desktop only | โ
Web-based |
-| **Search Messages** | โ | โ ๏ธ Basic filtering | โ
Full-text + properties |
-| **DLQ Investigation** | โ ๏ธ One at a time | โ ๏ธ Manual inspection | โ
Batch analysis + AI insights |
-| **Pattern Detection** | โ | โ | โ
AI-powered clustering |
-| **Correlation Tracking** | โ | โ ๏ธ Manual | โ
Search by any property |
-| **Read-Only Safety** | โ
| โ ๏ธ Can delete | โ
Peek-only mode |
-| **Multi-Message View** | โ | โ ๏ธ Limited | โ
Browse 100s at once |
-| **DLQ Replay** | โ | โ | โ
One-click replay |
-| **Deployment** | โ๏ธ Cloud | ๐ป Desktop app | ๐ Self-hosted web app |
-| **Access During Incidents** | โ
Always | โ ๏ธ Need .NET desktop | โ
Browser only |
-
-### Why ServiceHub?
-
-โ
**Built for incidents** โ Fast, web-based, read-only by design
-โ
**AI-powered insights** โ Automatically detect error patterns across thousands of messages
-โ
**Search at scale** โ Find needle-in-haystack messages by any property
-โ
**DLQ forensics** โ Understand failure patterns, not just individual messages
-โ
**Safe operations** โ Listen-only permissions, messages never leave the queue
-
----
+## ๐ธ Screenshots
-## Real-World Scenarios
+### Connect to Azure Service Bus
-### Scenario 1: Dead-Letter Queue Incident
-**Problem:** 5,000 orders stuck in DLQ. Customer escalation at 2 AM.
-**ServiceHub Solution:**
-1. Browse all 5,000 DLQ messages in seconds
-2. AI detects **3 error patterns**: "Payment Timeout" (40%), "Invalid Address" (35%), "Duplicate Order" (25%)
-3. Search for specific customer orders by correlation ID
-4. After fixing payment gateway, replay all "Payment Timeout" messages with one click
-
-**Time Saved:** 6 hours โ 45 minutes
-
-### Scenario 2: Message Correlation Tracking
-**Problem:** Customer reports "Order #12345 never processed." Find the message across 10,000 active messages.
-**ServiceHub Solution:**
-1. Search across message body, properties, and custom headers
-2. Find order in 3 seconds
-3. Review full message properties, delivery attempts, and processing timestamps
-
-**Time Saved:** 30 minutes โ 30 seconds
-
-### Scenario 3: Integration Testing
-**Problem:** Need to test error handling with 100 realistic failure scenarios.
-**ServiceHub Solution:**
-1. Use Message Generator with "Payment Gateway" scenario
-2. Generate 100 messages with 30% anomaly rate
-3. Verify error handling and DLQ behavior
-4. Clean up test messages with one filter (tagged `ServiceHub-Generated`)
+Enter your connection string and you're in. Supports Listen-only (read-only) or Manage (full access) policies.
-**Time Saved:** Manual testing โ Automated in 2 minutes
+
----
+### Message Browser
-## Feature Showcase
+Browse active messages across queues and topic subscriptions. See message previews, status badges, and metadata at a glance.
-### ๐จ Enhanced Message Browser UI
+
-Improved message list with better visual hierarchy and information density:
+### Message Detail โ Properties
-
+Click any message to inspect every detail. System properties show Message ID, enqueue time, TTL, sequence number, delivery count, and content type.
-**Improvements:**
-- Clearer message metadata display
-- Enhanced property visibility
-- Better spacing and readability
-- Optimized for long debugging sessions
+
----
+### Message Detail โ Body
-### ๐ Message Browser with Search
+Full JSON body with syntax highlighting and copy button. Supports JSON, XML, and plain text formats.
-Browse messages across queues and topic subscriptions with powerful filtering:
+
-
+### Message Detail โ AI Insights
-
+AI-powered analysis detects patterns, anomalies, and error clusters across your messages. All processing happens in your browser โ no data leaves your environment.
-**Features:**
-- View 100+ messages at once (Azure Portal: count only)
-- Real-time filtering by content, properties, message ID
-- Event type badges, timestamps, delivery counts
-- Active and Dead-Letter queue tabs in one view
+
----
+### Message Detail โ Forensic View
-### ๐ Complete Message Details
+Deep forensic analysis showing message lifecycle, delivery attempts, and processing timeline.
-Click any message to inspect every detail:
+
-**System Properties** โ Message ID, enqueue time, TTL, sequence number:
-
+### Message Detail โ Headers
-**Custom Properties** โ Application headers, correlation IDs, business metadata:
-
+View all custom application properties and correlation headers.
-**Message Body** โ Full JSON with syntax highlighting and copy button:
-
+
----
+### Dead-Letter Queue
-### ๐ค AI-Powered Pattern Detection
+Investigate failed messages with DLQ reason, error description, and AI-powered remediation guidance. Replay messages back to the original queue with one click.
-ServiceHub analyzes **all messages** and automatically identifies error clusters:
+
-
+### DLQ Message Detail with Replay
-**What it detects:**
-- Error message patterns (e.g., "Payment Timeout" across 500 messages)
-- Anomaly rates and confidence scores
-- Message groups by failure type
-- Suggested remediation actions
+See why messages failed and replay them after fixing the root cause.
-
+
-**Real-world example:** From 5,000 DLQ messages, AI instantly identifies:
-- 40% failed due to "Payment Gateway Timeout"
-- 35% failed due to "Invalid Shipping Address"
-- 25% failed due to "Duplicate Order ID"
+### DLQ AI Analysis
----
+AI automatically categorizes DLQ failures and suggests remediation steps.
-### โ ๏ธ Dead-Letter Queue Forensics
+
-Investigate DLQ failures with complete context:
+### Topic Subscriptions
-
+Browse messages from topic subscriptions with the same powerful inspection tools.
-**See instantly:**
-- Dead-letter reason (e.g., "MaxDeliveryCountExceeded")
-- Error description from Azure Service Bus
-- Delivery attempt history
-- Original message timestamp vs. DLQ timestamp
+
-
+### Quick Actions (FAB)
-**ServiceHub provides actionable guidance:**
-- Why the message failed
-- Recommended fix based on failure type
-- Whether to replay or discard
-- Related messages with same failure pattern
+Floating action button provides quick access to Send Message, Generate Messages, Test DLQ, and Refresh All.
----
+
-### ๐ DLQ Message Replay
+### Send Message
-After fixing the root cause, replay messages back to the original queue:
+Send single messages to queues or topics for ad-hoc testing. Supports custom properties, content types, and advanced options.
-
+
-
+### Generate Test Messages
-**Use cases:**
-- Payment gateway was down โ Now restored โ Replay all payment messages
-- Bug in message processor โ Bug fixed โ Replay all failed messages
-- Invalid configuration โ Config corrected โ Reprocess orders
+Generate realistic test messages with built-in scenarios (Order Processing, Payment Gateway, Notification Service, and more). Configure volume and anomaly rate.
----
+
-### ๐ Advanced Search
+### DLQ Intelligence Dashboard
-Find messages by any property โ something Azure Portal **cannot do**:
+Persistent tracking and monitoring of dead-letter queue messages with trend chart, status breakdown, and category classification.
-
+
-**Search across:**
-- Message body content (JSON, XML, plain text)
-- Custom properties (correlation ID, customer ID, order number)
-- System properties (message ID, session ID)
-- Event types and categories
+### DLQ History Detail
-**Example:** Find all messages for customer "C-12345" across 10,000 messages in 2 seconds.
+Drill into individual DLQ records with forensic timeline, replay history, and status tracking.
----
+
-## Testing & Development Tools
+### Auto-Replay Rules
-### Message Generator
+Define conditional replay rules with live statistics. Match messages by dead-letter reason, error description, entity name, content type, or body text.
-Generate realistic test messages for integration testing:
+
-
+### Rule Template Gallery
-
+Browse pre-built rule templates for common failure scenarios โ transient errors, max delivery exceeded, expired messages, and more.
-**6 Built-in Scenarios:**
-1. **Order Processing** โ E-commerce order flow
-2. **Payment Gateway** โ Payment transactions with retries
-3. **Notification Service** โ Email/SMS delivery events
-4. **Inventory Management** โ Stock updates and alerts
-5. **User Activity** โ Login, registration, profile updates
-6. **Error Events** โ Simulated failures for testing
+
-**Configuration:**
-- Volume: 30, 50, 100, 150, 200 messages
-- Anomaly rate: 0% to 50% (inject failures for testing)
-- Auto-tagged with `ServiceHub-Generated` for easy cleanup
+### Create Auto-Replay Rule
-### Send Custom Messages
+Build custom rules with field conditions, operators, actions, rate limiting, and target entity configuration.
-Send single messages to queues or topics for ad-hoc testing:
+
-
+### System Health
-
+Monitor API health, uptime, memory usage, thread count, GC collections, and server information.
----
+
-## Quick Start (Zero Configuration!)
+### Help & Quick Reference
-### ๐ Automated Setup (Recommended)
+Searchable help guide covering every feature, Azure Service Bus concepts, and a guided tour.
-**No manual prerequisites needed!** The setup script automatically installs everything:
+
-```bash
-git clone https://github.com/debdevops/servicehub.git
-cd servicehub
-./run.sh
-```
+### Message Search & Filter
-The script will:
-โ
Auto-install .NET 8 SDK (if not present)
-โ
Auto-install Node.js 18+ (if not present)
-โ
Install all dependencies
-โ
Start both API and UI servers
+Find messages by any property โ message ID, correlation ID, body content, custom headers.
-**First run:** 5-10 minutes (includes installations)
-**Subsequent runs:** 30-60 seconds
+
-Open **http://localhost:3000**
+### Sidebar Navigation
-> ๐ **Detailed Setup Guide:** See [SETUP.md](SETUP.md) for platform-specific details, troubleshooting, and manual installation options.
+Namespace browser with live message counts, queue/topic tree, and Quick Access panel.
-### Prerequisites (Auto-Installed)
-The following are **automatically installed** by `run.sh`:
-- โ
.NET 8.0 SDK
-- โ
Node.js 18+
-- โ
npm package manager
-- โ
Required utilities (curl, lsof)
+
-**Supports all major platforms:**
-- macOS (Intel & Apple Silicon), Ubuntu/Debian, RHEL/CentOS/Fedora, Arch Linux, openSUSE, Alpine, WSL
-- See [CROSS-PLATFORM-COMPATIBILITY.md](CROSS-PLATFORM-COMPATIBILITY.md) for complete list
+### API Documentation (Scalar)
-**You only need:**
-- โ ๏ธ Azure Service Bus connection string (Listen permission only)
+Interactive API documentation with Scalar โ test endpoints directly from the browser.
-
+
-### Connect to Your Namespace
+---
-1. Enter a display name for your connection
-2. Paste your Service Bus connection string
-3. Click "Connect"
+## ๐ Features
-
+### Message Browser
+- Browse **active** and **dead-letter** queue messages side by side
+- View full message body with JSON syntax highlighting
+- Inspect system properties, custom headers, and application properties
+- Real-time search across message content and properties
+- Auto-refresh with configurable polling intervals
-Your queues and topics appear instantly:
+### AI-Powered Analysis
+- **Pattern detection** โ Identify error clusters across thousands of messages
+- **Anomaly identification** โ Flag unusual messages automatically
+- **Remediation suggestions** โ Actionable guidance for each failure type
+- **Client-side processing** โ All analysis runs in your browser; no data leaves your environment
-
+### DLQ Intelligence System
+- **Persistent tracking** โ DLQ messages stored in local SQLite database
+- **Category classification** โ Auto-categorizes: Transient, MaxDelivery, Expired, DataQuality, Authorization
+- **Trend chart** โ 30-day DLQ trend visualization (New vs. Resolved)
+- **Instant scanning** โ "Scan Now" for immediate DLQ polling
+- **Export** โ Download DLQ data as JSON or CSV
+- **Status tracking** โ Active โ Replayed โ ReplayFailed โ Resolved
-**That's it!** Start browsing messages, investigating DLQs, and using AI insights.
+### Auto-Replay Rules Engine
+- **Conditional matching** โ Match messages by reason, error description, entity, delivery count, body text
+- **Operators** โ Contains, Equals, StartsWith, EndsWith, Regex, GreaterThan, LessThan, In
+- **Live statistics** โ Pending/Replayed/Success counts updated in real time
+- **Rate limiting** โ Max replays per hour to prevent overwhelming downstream services
+- **Batch replay** โ Replay all matching messages with one click
+- **Template gallery** โ Pre-built rules for common failure scenarios
+- **Circuit breaker** โ Auto-disables rules if success rate drops below threshold
+
+### Testing & Development Tools
+- **Send Message** โ Send single messages to queues or topics with custom properties
+- **Generate Messages** โ 6 built-in scenarios with configurable volume (30โ200) and anomaly rate (0โ50%)
+- **Test DLQ** โ Move test messages to dead-letter queue for testing DLQ workflows
+- **Tagged messages** โ All generated messages tagged with `ServiceHub-Generated` for easy cleanup
+
+### Security & Safety
+- **Read-only by default** โ Uses Azure SDK PeekMessagesAsync; messages are never removed
+- **Listen-only supported** โ Works with Listen permission for browse-only access
+- **Encrypted at rest** โ Connection strings encrypted with AES-GCM
+- **No external API calls** โ AI analysis runs entirely in the browser
+- **No data persistence** โ Messages displayed in-memory only
+- **Safe for production** โ Will not interfere with your consumers
---
-## Architecture
+## โก Quick Start
-```
-servicehub/
-โโโ apps/web/ # React + TypeScript frontend
-โ โโโ src/
-โ โโโ components/ # UI components
-โ โโโ hooks/ # React Query hooks
-โ โโโ lib/ # API client, utilities
-โ
-โโโ services/api/ # ASP.NET Core backend
-โ โโโ src/
-โ โโโ ServiceHub.Api/ # REST API controllers
-โ โโโ ServiceHub.Core/ # Domain entities & DTOs
-โ โโโ ServiceHub.Infrastructure/ # Azure SDK integration
-โ
-โโโ run.sh # One-command startup script
-```
+### Automated Setup (Recommended)
-**Tech Stack:**
-- **Frontend:** React 18, TypeScript, Tailwind CSS, TanStack Query (React Query)
-- **Backend:** ASP.NET Core 8, Azure.Messaging.ServiceBus SDK
-- **AI Analysis:** Client-side pattern detection (no external API calls)
-- **Database:** None (stateless, in-memory only)
-
----
+```bash
+git clone https://github.com/debdevops/servicehub.git
+cd servicehub
+./run.sh
+```
-## Security & Compliance
+The script automatically:
+- Installs .NET 10 SDK (if not present)
+- Installs Node.js 18+ (if not present)
+- Builds and starts both API and UI servers
-### Read-Only by Design
+Open **http://localhost:3000** and connect with your Azure Service Bus connection string.
-ServiceHub uses Azure SDK's **`PeekMessagesAsync`** โ messages are **never removed** from queues:
+### Prerequisites
-```csharp
-// ServiceHub only reads โ never receives or deletes
-await receiver.PeekMessagesAsync(maxMessages: 100);
-```
+Auto-installed by `run.sh`:
+- .NET 10.0 SDK
+- Node.js 18+
-โ
**Safe for production** โ Messages remain in queue for your actual consumers
-โ
**Audit-friendly** โ No message deletion or modification
-โ
**Incident-safe** โ Won't interfere with recovery processes
+You provide:
+- Azure Service Bus connection string (Listen permission minimum)
-### Minimal Permissions Required
-
-Create a dedicated SAS policy with **Listen permission only**:
+### Create a Service Bus Policy
+For read-only browsing:
```bash
-# Azure CLI
az servicebus namespace authorization-rule create \
--namespace-name \
- --name servicehub-readonly \
+ --resource-group \
+ --name servicehub \
--rights Listen
```
-โ ServiceHub does NOT require:
-- `Manage` permissions
-- `Send` permissions (except for testing tools, optional)
-- `Receive` permissions (never removes messages)
-
-### Data Privacy
-
-- **No external API calls** โ AI analysis runs in your browser
-- **No data persistence** โ Messages displayed in-memory only
-- **No logging of message content** โ API logs only metadata (message count, queue names)
-- **Self-hosted** โ Deploy in your VPC/VNET, no SaaS dependencies
-
----
-
-## Use Cases by Role
-
-### DevOps Engineers
-โ
Investigate DLQ spikes during incidents
-โ
Validate message processing after deployments
-โ
Search for specific customer transactions
-โ
Monitor message flow across queues and topics
-
-### QA Engineers
-โ
Generate realistic test messages for integration testing
-โ
Verify message routing to correct topic subscriptions
-โ
Test error handling with controlled anomaly injection
-โ
Validate message transformations and enrichments
-
-### Support Teams
-โ
Find customer orders by correlation ID during escalations
-โ
Verify if customer message was received or dead-lettered
-โ
Provide timestamps and failure reasons to customers
-โ
Replay messages after incident resolution
-
-### Platform Engineers
-โ
Debug namespace-level message routing issues
-โ
Analyze message patterns for capacity planning
-โ
Investigate intermittent failures across multiple queues
-โ
Document incident timelines with actual message evidence
-
----
-
-## Key Differentiators
-
-| Feature | Impact |
-|---------|--------|
-| **Web-Based** | No desktop installation needed โ accessible from any browser during incidents |
-| **Bulk Message View** | Browse 100s of messages at once vs. one-by-one in Azure Portal |
-| **AI Pattern Detection** | Automatically identify root causes across thousands of DLQ messages |
-| **Full-Text Search** | Find messages by correlation ID, customer ID, or any property |
-| **DLQ Replay** | One-click message reprocessing after fixing issues |
-| **Testing Tools** | Generate realistic scenarios for integration testing |
-| **Read-Only Safety** | Listen-only permissions โ never removes messages from production |
-| **Self-Hosted** | Deploy in your environment, no SaaS vendor dependency |
-
----
-
-## ๐ฏ DLQ Intelligence & Auto-Replay System
-
-ServiceHub includes a **production-ready DLQ management system** that goes far beyond simple message inspection.
-
-### ๐ DLQ Intelligence Dashboard
-
-Persistent tracking and monitoring of dead-letter queue messages:
-
-
-
-
-
-**Features:**
-- **Persistent history** โ All DLQ messages tracked in SQLite database
-- **Instant scanning** โ "Scan Now" button triggers immediate DLQ poll (bypasses 10-15s background schedule)
-- **Category classification** โ Auto-categorizes failures: Transient, MaxDelivery, Expired, DataQuality, Authorization, etc.
-- **Export capabilities** โ Download DLQ data as JSON or CSV for reporting
-- **Timeline view** โ Replay history with timestamps, outcomes, and error details
-- **Status tracking** โ Active โ Replayed โ ReplayFailed โ Resolved
+For full access (send, generate, replay):
+```bash
+az servicebus namespace authorization-rule create \
+ --namespace-name \
+ --resource-group \
+ --name servicehub \
+ --rights Listen Send Manage
+```
-
+### URLs
-**Background monitoring:** DLQ messages are automatically scanned every 10-15 seconds and stored for forensic analysis.
+| Service | URL |
+|---|---|
+| UI | http://localhost:3000 |
+| API | http://localhost:5153 |
+| API Docs | http://localhost:5153/scalar/v1 |
---
-### โก Auto-Replay Rules Engine
-
-Define **conditional replay rules** that match DLQ messages and enable batch operations:
-
-
-
-**Rule Components:**
-- **Conditions** โ Match messages by reason, error description, entity name, delivery count, content type, body text, or custom properties
-- **Operators** โ Contains, Equals, StartsWith, EndsWith, Regex, GreaterThan, LessThan, In
-- **Target Entity** โ Optionally replay to a different queue/topic (not just original)
-- **Rate Limiting** โ Max replays per hour to prevent overwhelming downstream services
+## ๐๏ธ Architecture
-**Rule Statistics (Live Evaluation):**
-- **Pending** โ How many Active DLQ messages currently match this rule (evaluated in real-time)
-- **Replayed** โ How many messages have been replayed using this rule
-- **Success** โ Replay success count and percentage
+```
+servicehub/
+โโโ apps/web/ # React 18 + TypeScript + Vite frontend
+โ โโโ src/
+โ โโโ components/ # UI components (messages, DLQ, rules, FAB)
+โ โโโ hooks/ # React Query hooks for API communication
+โ โโโ lib/ # API client, utilities, help content
+โ โโโ pages/ # Page components (Messages, Connect, Rules, Health, Help)
+โ
+โโโ services/api/ # ASP.NET Core 10 backend
+โ โโโ src/
+โ โโโ ServiceHub.Api/ # REST controllers, middleware, auth
+โ โโโ ServiceHub.Core/ # Domain entities, DTOs, interfaces
+โ โโโ ServiceHub.Infrastructure/ # Azure SDK integration, SQLite
+โ โโโ ServiceHub.Shared/ # Common types and utilities
+โ
+โโโ scripts/ # Setup and utility scripts
+โโโ run.sh # One-command startup
+```
-
+**Tech Stack:**
+| Layer | Technology |
+|---|---|
+| Frontend | React 18, TypeScript, Tailwind CSS, TanStack Query |
+| Backend | ASP.NET Core 10, Azure.Messaging.ServiceBus SDK |
+| AI Analysis | Client-side pattern detection (no external API) |
+| Database | SQLite (DLQ Intelligence), in-memory cache |
+| API Docs | Scalar (OpenAPI) |
-**Test Before Replay:** Click "Test" to preview how many Active DLQ messages match your conditions before executing any replay.
+For detailed backend architecture, see [services/api/ARCHITECTURE.md](services/api/ARCHITECTURE.md).
---
-### ๐ Batch Replay All System
-
-Replay **multiple matching messages** with a single click:
-
-
-
-**Safety Features:**
-- **Confirmation dialog with warnings** โ Red danger header, 3 safety warnings before executing
-- **Real-time statistics** โ Shows how many messages will be affected
-- **Cancel auto-focused** โ Safer default to prevent accidental clicks
-- **Test first workflow** โ Encourages testing rules before bulk replay
-
-
-
-**Performance:** Optimized batch replay using **single DLQ receiver per entity** (not per message). Tested with 7 messages across 2 subscriptions โ **9 seconds** (vs. 30s+ timeout before optimization).
-
-
-
-**Outcome Tracking:**
-- Messages matched: 7
-- Successfully replayed: 7
-- Failed: 0
-- Skipped: 0
-
-
+## ๐ก Real-World Scenarios
-**History Audit:** Every replay attempt is recorded in the DLQ Intelligence history with:
-- Timestamp
-- Rule name or "Manual Replay"
-- Outcome (Success/Failed)
-- Target entity
-- Error details (if failed)
-
----
+### Scenario 1: Dead-Letter Queue Incident
+**Problem:** 5,000 orders stuck in DLQ at 2 AM.
-### Real-World DLQ Scenario
+**With ServiceHub:**
+1. Browse all 5,000 DLQ messages instantly
+2. AI detects 3 error patterns: Payment Timeout (40%), Invalid Address (35%), Duplicate Order (25%)
+3. Search for specific customer orders by correlation ID
+4. Create auto-replay rule for Payment Timeout โ replay all 2,000 messages
-**Situation:** 1,500 order messages dead-lettered due to payment gateway outage.
+**Time saved:** 6 hours โ 45 minutes
-**ServiceHub Workflow:**
-1. Open **DLQ Intelligence** โ See 1,500 Active messages categorized as "Transient" failures
-2. Create **Auto-Replay Rule**:
- - Condition: `Reason contains "Payment Gateway Timeout"`
- - Target: Original subscription
- - Rate limit: 500/hour
-3. Click **Test** โ Confirms 1,500 messages match
-4. Click **Replay All** โ Review warnings โ Confirm
-5. Result: **All 1,500 messages replayed in ~3 minutes**
-6. Check **DLQ Intelligence History** โ See replay audit trail with success/failure counts
+### Scenario 2: Message Correlation
+**Problem:** Customer reports order never processed.
-**Why it's safe:**
-- โ
Messages removed from DLQ only after successful send to target
-- โ
Failed replays remain in DLQ with error description
-- โ
Rate limiting prevents overwhelming downstream services
-- โ
Full audit trail for compliance/debugging
+**With ServiceHub:**
+1. Search across message body and properties
+2. Find order in 3 seconds across 10,000 messages
+3. Review full message properties and delivery history
----
+**Time saved:** 30 minutes โ 30 seconds
-## Roadmap
-
-**Completed Features** โ
+### Scenario 3: Integration Testing
+**Problem:** Need to test error handling with 100 realistic failure scenarios.
-- โ
**Bulk DLQ Replay** โ Replay multiple messages with rule-based filters
-- โ
**DLQ Intelligence** โ Persistent tracking, categorization, and history
-- โ
**Auto-Replay Rules** โ Conditional replay with rate limiting
-- โ
**Batch Optimization** โ O(N) performance with single receiver per entity
+**With ServiceHub:**
+1. Select Payment Gateway scenario in Message Generator
+2. Generate 100 messages with 30% anomaly rate
+3. Verify error handling and DLQ behavior
+4. Clean up test messages filtered by ServiceHub-Generated tag
-**Community Requests:** [Open an issue](https://github.com/debdevops/servicehub/issues) to suggest features!
+**Time saved:** Manual testing โ Automated in 2 minutes
---
-## Comparison: ServiceHub vs. Alternatives
+## ๐ Permissions Guide
-### vs. Azure Portal
+| Permission Level | Capabilities |
+|---|---|
+| **Listen only** | Browse messages, inspect DLQ, search, AI insights, view health |
+| **Listen + Send** | All above + replay from DLQ + send test messages |
+| **Manage** | All above + generate messages, test DLQ, full management |
-**Azure Portal Strengths:**
-- Always available, no installation
-- Basic metrics and alerting
-- Namespace management
-
-**Azure Portal Limitations:**
-- โ Cannot view message **content** (only metadata)
-- โ No search or filtering capabilities
-- โ DLQ investigation requires manual sampling
-- โ No pattern detection or bulk analysis
-
-**When to use ServiceHub:** When you need to see **what's inside messages** during incidents.
+> **Tip:** Create a dedicated `servicehub` policy instead of using `RootManageSharedAccessKey`.
---
-### vs. Azure Service Bus Explorer (Desktop)
-
-**Service Bus Explorer Strengths:**
-- Rich feature set for power users
-- Message management (send, receive, delete)
-- Detailed property inspection
-
-**Service Bus Explorer Limitations:**
-- โ ๏ธ Desktop application (Windows .NET required)
-- โ ๏ธ Limited multi-message view
-- โ No AI pattern detection
-- โ No bulk DLQ analysis
-- โ ๏ธ Can accidentally delete production messages
+## ๐ API Documentation
-**When to use ServiceHub:**
-- Web-based access from any device
-- Read-only safety for production
-- AI-powered pattern detection
-- Bulk message analysis
+ServiceHub exposes a REST API documented with Scalar (OpenAPI). Access interactive docs at:
----
-
-### vs. Custom Scripts
+**http://localhost:5153/scalar/v1**
-**Custom Scripts (PowerShell/CLI) Strengths:**
-- Automation potential
-- Scriptable workflows
+
-**Custom Scripts Limitations:**
-- โ ๏ธ Requires scripting expertise
-- โ No UI for visual exploration
-- โ Limited to technical users
-- โ ๏ธ Time-consuming to build and maintain
-
-**When to use ServiceHub:**
-- Ready-to-use web UI
-- Accessible to non-developers (support teams, QA)
-- Zero maintenance required
+Key endpoints:
+- `GET /api/v1/namespaces` โ List connected namespaces
+- `GET /api/v1/namespaces/{id}/queues` โ List queues with message counts
+- `GET /api/v1/namespaces/{id}/topics` โ List topics with subscription counts
+- `GET /api/v1/namespaces/{id}/queues/{name}/messages` โ Browse messages
+- `POST /api/v1/namespaces/{id}/queues/{name}/messages` โ Send a message
+- `GET /api/v1/dlq-history` โ DLQ Intelligence records
+- `GET /api/v1/replay-rules` โ Auto-replay rules
---
-## FAQ
-
-**Q: Does ServiceHub remove messages from queues?**
-A: No. ServiceHub uses Azure SDK's **`PeekMessagesAsync`** which only reads messages without removing them. Your consumers continue processing normally.
+## โ FAQ
-**Q: Can I use ServiceHub in production?**
-A: Yes. ServiceHub only requires **Listen** permission and operates in read-only mode (except for optional testing tools). Messages remain in queues for your actual consumers.
+**Q: Does ServiceHub remove messages from queues?**
+No. ServiceHub uses PeekMessagesAsync which reads messages without removing them. Your consumers continue processing normally.
-**Q: How does AI pattern detection work?**
-A: ServiceHub analyzes message content, properties, and error descriptions using heuristic algorithms **in your browser**. No data leaves your environment โ no external AI API calls.
+**Q: Is it safe for production?**
+Yes. ServiceHub only requires Listen permission and operates in read-only mode. Messages remain in queues for your actual consumers.
-**Q: What about sensitive data in messages?**
-A: ServiceHub displays messages only in your browser session (not persisted). Deploy ServiceHub in your private network and restrict access via your identity provider. API logs do not capture message content.
+**Q: How does AI analysis work?**
+ServiceHub analyzes message content using heuristic algorithms entirely in your browser. No data leaves your environment.
-**Q: Can I deploy ServiceHub to Azure App Service / Kubernetes?**
-A: Yes. ServiceHub is a standard ASP.NET Core + React app. You can containerize it with Docker and deploy to any platform supporting .NET 8 and Node.js.
+**Q: What about sensitive data?**
+Messages are displayed only in your browser session โ not persisted. Deploy ServiceHub in your private network and restrict access.
-**Q: Does ServiceHub support topics with subscriptions?**
-A: Yes. ServiceHub browses messages from both queues and topic subscriptions. You can view messages for each subscription independently.
+**Q: Can I deploy to Azure App Service / Kubernetes?**
+Yes. ServiceHub is a standard ASP.NET Core + React SPA. Containerize with Docker and deploy anywhere supporting .NET 10.
-**Q: What about message sessions?**
-A: Session-aware browsing is on the roadmap. Currently, you can view session-enabled messages but not group them by session ID.
-
-**Q: Can I contribute?**
-A: Absolutely! ServiceHub is open source (MIT license). Fork the repository, make your changes, and submit a pull request.
+**Q: Does it support topics with subscriptions?**
+Yes. Browse messages from both queues and topic subscriptions independently.
---
-## Contributing
-
-We welcome contributions! Whether it's bug fixes, new features, or documentation improvements.
+## ๐ค Contributing
-**How to contribute:**
+We welcome contributions! Bug fixes, features, and documentation improvements.
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Make your changes with tests
-4. Commit your changes (`git commit -m 'Add amazing feature'`)
-5. Push to the branch (`git push origin feature/amazing-feature`)
-6. Open a Pull Request
+4. Commit and push
+5. Open a Pull Request
---
@@ -647,43 +428,14 @@ We welcome contributions! Whether it's bug fixes, new features, or documentation
MIT License โ see [LICENSE](LICENSE) for details.
-**TL;DR:** Use ServiceHub freely in your organization, modify as needed, no attribution required in your deployment.
-
----
-
-## Links & Resources
-
-- **๐ Repository:** https://github.com/debdevops/servicehub
-- **๐ Report Issues:** https://github.com/debdevops/servicehub/issues
-- **๐ Full Documentation:** [docs/COMPREHENSIVE-GUIDE.md](docs/COMPREHENSIVE-GUIDE.md)
-- **๏ฟฝ Screenshots Guide:** [docs/SCREENSHOTS.md](docs/SCREENSHOTS.md)
-- **๐ฌ Discussions:** https://github.com/debdevops/servicehub/discussions
-
----
-
-## Support
-
-**Need help?**
-- ๐ Check the [documentation](docs/)
-- ๐ฌ Start a [discussion](https://github.com/debdevops/servicehub/discussions)
-- ๐ Report a [bug](https://github.com/debdevops/servicehub/issues)
-
-**Enterprise support:** For production deployment assistance, custom features, or training โ open an issue with `[Enterprise]` tag.
-
----
-
-## Star History
-
-If ServiceHub saved you time during an incident, give it a โญ on GitHub!
-
---
-**ServiceHub** โ Because your Service Bus messages shouldn't be invisible during incidents.
+**ServiceHub** โ Because your Service Bus messages should not be invisible during incidents.
-Built with โค๏ธ for DevOps and Platform Engineers
+Built for DevOps, Platform, and SRE Engineers.
-[Get Started](#quick-start-5-minutes) โข [View Features](#feature-showcase) โข [Report Issue](https://github.com/debdevops/servicehub/issues)
+[Get Started](#-quick-start) ยท [View Features](#-features) ยท [Report Issue](https://github.com/debdevops/servicehub/issues)
diff --git a/REMOTE_ACCESS.md b/REMOTE_ACCESS.md
deleted file mode 100644
index 257a483..0000000
--- a/REMOTE_ACCESS.md
+++ /dev/null
@@ -1,174 +0,0 @@
-# ServiceHub โ Remote Server Access Guide
-
-This guide explains how to run ServiceHub on a Linux server and access it
-from a different machine (laptop, another server, etc.).
-
----
-
-## How It Works
-
-ServiceHub uses a Vite development proxy to route browser API calls:
-
-```
-Your Browser โ http://linuxhost:3000/api/v1/...
- โ (Vite proxy, same server)
- http://localhost:5153/api/v1/... (ASP.NET Core API)
-```
-
-By keeping the proxy on the server, the browser never needs to reach port 5153
-directly โ it just calls port 3000 (the UI port) for everything. This means:
-
-- **No CORS issues** โ the browser sees all requests as same-origin (port 3000).
-- **Firewall simplicity** โ you only need to open one port (3000) to the outside world.
-- **No hardcoded IP addresses** in client code.
-
----
-
-## Quick Start (Remote Server)
-
-### 1. Start ServiceHub
-
-```bash
-cd /path/to/servicehub
-bash run.sh
-```
-
-The startup banner will show all access URLs automatically:
-
-```
-๐ Web UI:
- โข http://localhost:3000 โ from this machine
- โข http://192.168.1.50:3000 โ from remote machines (by IP)
- โข http://linuxhost:3000 โ from remote machines (by hostname)
-
-๐ API Endpoints:
- โข HTTP: http://localhost:5153
- โข Remote: http://192.168.1.50:5153
- โข API Docs: http://localhost:5153/scalar/v1
-```
-
-### 2. Access from Your Laptop
-
-Open a browser on your laptop and navigate to:
-
-```
-http://linuxhost:3000
-```
-
-Replace `linuxhost` with the server's hostname or IP address.
-
----
-
-## Firewall Configuration
-
-If the connection is refused, open the UI port on the server's firewall.
-You only need port **3000** (API calls are proxied through it).
-
-**Ubuntu / Debian (ufw):**
-```bash
-sudo ufw allow 3000/tcp
-sudo ufw reload
-```
-
-**RHEL / CentOS / Fedora (firewalld):**
-```bash
-sudo firewall-cmd --add-port=3000/tcp --permanent
-sudo firewall-cmd --reload
-```
-
-**Quick test** (from your laptop):
-```bash
-curl http://linuxhost:3000/health
-```
-
----
-
-## Supporting Additional CORS Origins (Advanced)
-
-The Vite proxy eliminates CORS for browser calls. However, if you are making
-**direct API calls** from another backend service or tool (e.g. curl, Postman,
-another server-side app), you need to tell the .NET API which origins to allow.
-
-Use the `SERVICEHUB_ALLOWED_ORIGINS` environment variable โ no config-file edits needed:
-
-```bash
-export SERVICEHUB_ALLOWED_ORIGINS="http://192.168.1.50:3000,http://linuxhost:3000"
-bash run.sh
-```
-
-Multiple origins are comma-separated. This variable is read at startup by
-`CorsConfiguration.cs` and merged into the allowed origins list alongside any
-values already in `appsettings.json`.
-
----
-
-## Environment Variable Reference
-
-| Variable | Purpose | Example |
-|---|---|---|
-| `SERVICEHUB_ALLOWED_ORIGINS` | Extra CORS origins (comma-separated) | `http://192.168.1.50:3000` |
-| `VITE_API_BASE_URL` | Override API base URL in the browser client | `http://192.168.1.50:5153/api/v1` |
-
-> **Note:** `VITE_API_BASE_URL` is only needed if you want the browser to call the API
-> **directly** (bypassing the proxy). With the default proxy configuration you do
-> not need to set this.
-
----
-
-## Troubleshooting
-
-### "Connection Refused" on port 3000
-
-1. Confirm Vite started with `--host 0.0.0.0`:
- ```bash
- grep "host" /tmp/servicehub_ui_startup.log
- ```
-2. Check the firewall rules (see above).
-3. Verify the process is listening:
- ```bash
- ss -tlnp | grep 3000
- ```
-
-### "Network Error" / API Can't Be Reached
-
-The browser is talking to the Vite proxy on port 3000, which forwards to the API
-on port 5153 (loopback). If you see API errors:
-
-1. Check the API is running:
- ```bash
- curl http://localhost:5153/health
- ```
-2. Check API logs:
- ```bash
- tail -50 /tmp/servicehub_api_startup.log
- ```
-
-### CORS Errors in Browser Dev Tools
-
-If you see `Access-Control-Allow-Origin` errors, it means requests are bypassing
-the Vite proxy and hitting the API directly. Ensure:
-
-- `VITE_API_BASE_URL` is **not** set to an absolute URL pointing at a different
- host. Clear it or leave it unset to use the proxy.
-- The browser is loading the UI from the same origin it's making API calls to.
-
----
-
-## Production Deployment
-
-For a production Linux deployment (no Vite dev server), build the React app and
-serve it from the .NET API's wwwroot folder:
-
-```bash
-# Build the React app (outputs to services/api/src/ServiceHub.Api/wwwroot)
-cd apps/web
-npm run build
-
-# Run the .NET API (it serves both the SPA and the API)
-cd services/api
-dotnet run --project src/ServiceHub.Api/ServiceHub.Api.csproj \
- --urls "http://0.0.0.0:5153" \
- --environment Production
-```
-
-Then open `http://linuxhost:5153` โ only one port needed in production.
diff --git a/docs/PERMISSIONS.md b/docs/PERMISSIONS.md
deleted file mode 100644
index a99126f..0000000
--- a/docs/PERMISSIONS.md
+++ /dev/null
@@ -1,86 +0,0 @@
-# ServiceHub โ Azure Permissions Guide
-
-ServiceHub requires appropriate permissions to access your Azure Service Bus resources. This guide explains the permissions needed for different features.
-
----
-
-## Recommended Setup: Shared Access Policy
-
-**For full ServiceHub functionality, create a dedicated Shared Access Policy with:**
-- โ
**Manage** permission
-- โ
**Send** permission
-- โ
**Listen** permission
-
-**How to create:**
-1. Go to Azure Portal โ Your Service Bus Namespace
-2. Navigate to **Shared Access Policies**
-3. Click **+ Add**
-4. Name: `ServiceHub-FullAccess` (or your preferred name)
-5. Check: โ
**Manage**, โ
**Send**, โ
**Listen**
-6. Click **Create**
-7. Copy the **Primary Connection String**
-
-โ ๏ธ **Do NOT use RootManageSharedAccessKey** โ Always create a dedicated policy for ServiceHub.
-
----
-
-## Alternative: Limited Permissions (Read-Only)
-
-If you only need to browse messages without replay or testing capabilities:
-
-**Required Role (using Azure RBAC):**
-- `Azure Service Bus Data Receiver`
-
-**Or create a Shared Access Policy with:**
-- โ
**Listen** permission only
-
-**Permissions Granted:**
-- โ
Peek/browse messages from queues and subscriptions
-- โ
View message metadata, properties, and bodies
-- โ
View queue and topic metrics
-- โ Cannot replay messages from DLQ
-- โ Cannot create test DLQ messages
-
----
-
-## Feature-Specific Requirements
-
-### ๐ Read-Only Investigation
-
-**Permissions Required:**
-- Listen (peek messages)
-
-**What You Can Do:**
-- Browse active and dead-letter queue messages
-- View message details and properties
-- Search and filter messages
-- View queue/topic metrics
-
-### ๐ Replay Messages from DLQ
-
-**Permissions Required:**
-- Listen (read from DLQ)
-- Send (write to active queue)
-
-**What You Can Do:**
-- All read-only features
-- Move messages from DLQ back to main queue
-
-### ๐งช Create Test DLQ Messages
-
-**Permissions Required:**
-- Listen (read from queue)
-- Send (move messages to DLQ)
-
-**What You Can Do:**
-- All read-only features
-- Manually dead-letter messages for testing
-
-### ๐ ๏ธ Full Management
-
-**Permissions Required:**
-- Manage (full control)
-
-**What You Can Do:**
-- All features above
-- Future management operations
\ No newline at end of file
diff --git a/docs/SCREENSHOTS.md b/docs/SCREENSHOTS.md
deleted file mode 100644
index 2695438..0000000
--- a/docs/SCREENSHOTS.md
+++ /dev/null
@@ -1,331 +0,0 @@
-# ServiceHub Screenshots Guide
-
-This guide explains the 35 screenshots used in the README and how they demonstrate ServiceHub capabilities.
-
----
-
-## ๐ธ Screenshot Organization
-
-All screenshots are located in `docs/screenshots/` with descriptive filenames that indicate their purpose and placement in the documentation.
-
-### Screenshot Mapping
-
-| # | Filename | Shows | Used In Section |
-|---|----------|-------|-----------------|
-| 1 | 01-Start-The-App.png | Application startup | Quick Start |
-| 2 | 02-Connect-Service-Bus-With-Manage-ConnStr.png | Connection form with connection string | Quick Start |
-| 3 | 03-Connected-ServiceBus.png | Connected namespace view | Quick Start |
-| 4 | 04-feature-message-browser-empty.png | Message browser (empty) | Features |
-| 5 | 05-main-message-display1.png | Message browser with loaded messages | Features - Message Browser |
-| 6 | 06-feature-message-generator.png | Message generator basic form | Testing Tools |
-| 7 | 07-feature-message-generator-basic-single-message.png | Single message generator | Testing Tools |
-| 8 | 08-feature-message-generator-scenarios.png | Generator scenarios selection | Testing Tools |
-| 9 | 09-feature-send-message.png | Send message form | Testing Tools |
-| 10 | 10-message-display.png | Message details view | Features - Message Details |
-| 11 | 11-Generate-Single-Message-Topic.png | Generate message to topic | Testing Tools |
-| 12 | 12-showing-message-topic.png | Topic messages display | Features |
-| 13 | 13-feature-message-details-custom-props.png | Custom properties tab | Features - Message Details |
-| 14 | 14-feature-ai-findings.png | AI findings indicator | Features - AI Insights |
-| 15 | 15-feature-message-details-JSON-prop.png | Message body JSON | Features - Message Details |
-| 16 | 16-feature-message-details-AI-Insight.png | AI insights in message details | Features - AI Insights |
-| 17 | 17-feature-ai-patterns-popup.png | AI patterns summary popup | Features - AI Insights |
-| 18 | 18-feature-dlq-tab-with-ai.png | DLQ tab with AI indicators | Features - DLQ |
-| 19 | 19-feature-ai-findings-1.png | AI findings detection | Features - AI Insights |
-| 20 | 20-workflow-dlq-investigation-step1.png | DLQ investigation step 1 | Workflows - DLQ |
-| 21 | 21-workflow-dlq-investigation-step1.png | DLQ investigation detailed | Workflows - DLQ |
-| 22 | 22-workflow-dlq-investigation-step2.png | DLQ AI insights view | Workflows - DLQ |
-| 23 | 23-workflow-dlq-AI-Insight.png | DLQ AI guidance | Workflows - DLQ |
-| 24 | 24-workflow-dlq-replay-step4.png | Replay confirmation dialog | Workflows - DLQ |
-| 25 | 25-feature-find-feature.png | Advanced search functionality | Features - Search |
-| 26 | 26-row-ui-new-feature.png | Enhanced message row UI | Features - Message Browser |
-| 27 | 27-dlq-enhancement.png | DLQ enhancements | Features - DLQ Intelligence |
-| 28 | 28-dlq-intelligence.png | DLQ Intelligence dashboard | Features - DLQ Intelligence |
-| 29 | 29-dlq-history-post-replay-message.png | DLQ history after single replay | Features - DLQ Intelligence |
-| 30 | 30-auto-replay-feature.png | Auto-Replay Rules page with rule cards | Features - Auto-Replay System |
-| 31 | 31-auto-relay-test-feature.png | Rule test dialog with matched messages | Features - Auto-Replay System |
-| 32 | 32-replay-all-messages.png | Replay All confirmation with warnings | Features - Batch Replay |
-| 33 | 33-replay-all-process.png | Batch replay in progress | Features - Batch Replay |
-| 34 | 34-post-replay-all-messages.png | Results after batch replay | Features - Batch Replay |
-| 35 | 35-rdlq-intelligence-history-post-replay-all.png | DLQ history audit trail after bulk replay | Features - DLQ Intelligence |
-
-**Total screenshots: 35 files**
-
----
-
-## ๐ฏ Key Screenshots Explained
-
-### DLQ Intelligence System (Screenshots 26-35)
-
-**New Feature Area:** DLQ Intelligence & Auto-Replay System
-
-#### Enhanced Message UI (Screenshot 26)
-**File:** `26-row-ui-new-feature.png`
-- Improved message list visual hierarchy
-- Better property visibility
-- Enhanced spacing and readability
-
-#### DLQ Intelligence Dashboard (Screenshots 27-28)
-**Files:** `27-dlq-enhancement.png`, `28-dlq-intelligence.png`
-- Persistent DLQ message tracking in SQLite database
-- Category classification (Transient, MaxDelivery, Expired, DataQuality, etc.)
-- "Scan Now" button for instant DLQ polling
-- Export capabilities (JSON/CSV)
-- Timeline view with replay history
-
-#### Replay History Tracking (Screenshot 29)
-**File:** `29-dlq-history-post-replay-message.png`
-- Shows DLQ message status after replay
-- Timestamps and outcome tracking
-- Audit trail for compliance
-
-#### Auto-Replay Rules System (Screenshots 30-31)
-**Files:** `30-auto-replay-feature.png`, `31-auto-relay-test-feature.png`
-- Rule cards with live statistics (Pending/Replayed/Success)
-- Conditions builder (field, operator, value)
-- "Test" button to preview matched messages
-- Real-time evaluation against Active DLQ messages
-
-#### Batch Replay All (Screenshots 32-35)
-**Files:** `32-replay-all-messages.png`, `33-replay-all-process.png`, `34-post-replay-all-messages.png`, `35-rdlq-intelligence-history-post-replay-all.png`
-- Confirmation dialog with red danger header and 3 safety warnings
-- Shows matched message count before execution
-- Real-time progress indicator
-- Post-replay statistics (matched/replayed/failed/skipped)
-- Complete audit trail in DLQ Intelligence history
-
----
-
-### Hero Image (Most Important)
-**File:** `05-main-message-display1.png`
-
-**Shows:**
-- ServiceHub message browser with loaded messages
-- Active (50) and Dead-Letter (0) tabs
-- AI Findings: 2 indicator
-- Auto-refresh toggle (ON, 7s ago)
-- Filter, Search, and Refresh buttons
-- Message list with preview text and timestamps
-
-**Why it's the hero:** This single screenshot demonstrates ServiceHub's complete value proposition - browsing real messages with AI insights during an incident.
-
-**Used in 7+ sections:**
-- Hero (top of README)
-- Problem section (after state)
-- Quick Start Step 4
-- Features - Message Browser
-- Roadmap current capabilities
-- Get Started CTA
-- Comparison sections
-
----
-
-### Critical Workflow Screenshots
-
-#### DLQ Investigation (4-step workflow)
-1. **Step 1:** `18-feature-dlq-tab-with-ai.png` - Shows 3 messages in DLQ with AI badges
-2. **Step 2:** `19-workflow-dlq-investigation-step1.png` - DLQ message Properties showing TestingDLQ reason
-3. **Step 3:** `20-workflow-dlq-investigation-step2.png` - AI Insights showing 88% confidence pattern
-4. **Step 4:** `21-workflow-dlq-replay-step3.png` - Replay confirmation dialog
-5. **Step 5:** `22-workflow-dlq-replay-step4.png` - After replay (message counts increased)
-
-#### Message Inspection (3-tab view)
-1. **Properties:** `11-feature-message-details-properties.png` - Message ID, timestamps, delivery count
-2. **Custom Props:** `12-feature-message-details-custom-props.png` - Application headers
-3. **Body:** `13-feature-message-details-body.png` - JSON message content
-
----
-
-## ๐ README Structure & Screenshot Usage
-
-### Hero Section (Line 1-15)
-- **1 screenshot:** `08-hero-message-browser-loaded.png`
-- **Purpose:** Immediate visual impact showing full capabilities
-
-### The Problem (Line 32-75)
-- **2 screenshots:**
- - `01-problem-empty-state.png` (Azure Portal limitations)
- - `08-hero-message-browser-loaded.png` (ServiceHub solution)
-- **Purpose:** Visual before/after comparison
-
-### Quick Start (Line 77-125)
-- **5 screenshots:**
- - `02-quickstart-connection-form.png` (Step 3)
- - `03-quickstart-connected-namespace.png` (Step 3)
- - `08-hero-message-browser-loaded.png` (Step 4)
- - `07-feature-message-generator-scenarios.png` (Step 4)
-- **Purpose:** Visual step-by-step setup guide
-
-### Key Features (Line 127-550)
-- **15+ screenshots** demonstrating:
- - Message browser (`08-hero...`)
- - Message details (3 tabs: `11`, `12`, `13`)
- - Search (`23-feature-search...`)
- - DLQ forensics (`18`, `24`)
- - AI insights (4 screenshots: `14`, `15`, `16`, `17`)
- - Message generator (`06`, `07`)
- - Send message (`09`)
- - Replay (`21`, `22`)
-
-### Investigation Workflows (Line 552-650)
-- **8 screenshots** showing:
- - DLQ investigation (5 screenshots)
- - Topic delivery (`10-workflow...`)
- - Search functionality (`23-feature...`)
-
-### Comparison (Line 652-750)
-- **2 screenshots:**
- - `01-problem-empty-state.png` (Portal)
- - `08-hero-message-browser-loaded.png` (ServiceHub)
-
-### Security & Trust (Line 752-850)
-- **1 screenshot:**
- - `02-quickstart-connection-form.png` (Security guidance)
-
-### Roadmap (Line 900-950)
-- **1 screenshot:**
- - `08-hero-message-browser-loaded.png` (Current capabilities)
-
-### Get Started (Line 1000-1100)
-- **1 screenshot:**
- - `08-hero-message-browser-loaded.png` (CTA)
-
----
-
-## โ
Verification Checklist
-
-Use this to verify screenshots display correctly on GitHub:
-
-- [ ] **Hero image** loads immediately at top
-- [ ] **Problem section** shows before/after comparison
-- [ ] **Quick Start** shows connection flow (4 steps)
-- [ ] **Features** demonstrates each capability with real screenshot
-- [ ] **DLQ workflow** shows clear 4-step progression
-- [ ] **AI insights** displays pattern detection screenshots
-- [ ] **Message details** shows all 3 tabs (Properties, Custom, Body)
-- [ ] **Comparison** shows Portal vs ServiceHub side-by-side
-- [ ] All images load in <2 seconds
-- [ ] No broken image icons (๐ผ๏ธโ)
-
----
-
-## ๐ง Maintenance
-
-### Adding New Screenshots
-
-1. Take screenshot of new feature
-2. Save to `docs/screenshots/` with naming convention:
- - Format: `XX-category-description.png`
- - Categories: `feature`, `workflow`, `comparison`, `security`
- - Example: `25-feature-bulk-replay.png`
-
-3. Update README.md with new image reference:
- ```markdown
- 
- *Caption explaining what screenshot shows*
- ```
-
-4. Commit and push:
- ```bash
- git add docs/screenshots/25-feature-bulk-replay.png README.md
- git commit -m "docs: Add bulk replay feature screenshot"
- git push origin main
- ```
-
-### Updating Existing Screenshots
-
-1. Replace file in `docs/screenshots/` (keep same filename)
-2. Commit and push:
- ```bash
- git add docs/screenshots/08-hero-message-browser-loaded.png
- git commit -m "docs: Update hero image with latest UI"
- git push origin main
- ```
-
-3. GitHub will automatically display updated image
-
----
-
-## ๐ Screenshot Statistics
-
-| Metric | Value |
-|--------|-------|
-| **Total screenshots** | 35 files |
-| **Most used screenshot** | `05-main-message-display1.png` (message browser) |
-| **Total size** | ~6.8 MB (estimated) |
-| **Average file size** | ~195 KB |
-| **Largest file** | ~350 KB |
-| **Smallest file** | ~85 KB |
-| **Recommended max size** | 500 KB per file |
-
----
-
-## ๐จ Screenshot Best Practices
-
-### When Taking Screenshots
-
-1. **Full window** (not partial crops)
-2. **Realistic data** (show 10-50 messages, not 1000s)
-3. **No sensitive data** (use test namespaces, generated messages)
-4. **Consistent resolution** (1200-1600px width)
-5. **Clean UI** (close unnecessary panels)
-
-### File Format
-
-- **Format:** PNG (for crisp UI text)
-- **Compression:** Use pngquant (65-80% quality)
-- **Max size:** 500 KB per file
-- **Naming:** Descriptive (`feature-name.png`, not `Screenshot 1.png`)
-
-### Alt Text
-
-Write descriptive alt text for accessibility:
-
-```markdown
-
-
-
-
-
-
-```
-
----
-
-## ๐ Quick Commands
-
-```bash
-# View all screenshots
-ls -lh docs/screenshots/
-
-# Count screenshots
-ls -1 docs/screenshots/ | wc -l
-
-# Check file sizes
-ls -lh docs/screenshots/*.png | sort -k5 -hr
-
-# Find large files (>500KB)
-find docs/screenshots -name "*.png" -size +500k
-
-# Optimize all screenshots
-cd docs/screenshots
-for img in *.png; do
- pngquant --quality=65-80 --ext .png --force "$img"
-done
-```
-
----
-
-## ๐ View on GitHub
-
-**Repository:** https://github.com/debdevops/servicehub
-
-**Branch:** dglocal-110126
-
-**README:** https://github.com/debdevops/servicehub/blob/dglocal-110126/README.md
-
-All 24 screenshots should display inline without broken image icons.
-
----
-
-**Last updated:** February 15, 2026
-**Screenshots version:** v2.0 (DLQ Intelligence & Auto-Replay System added)
diff --git a/docs/screenshots/01-connect-page.png b/docs/screenshots/01-connect-page.png
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