📡 Stack LiveView

📋 Table of Contents

1. Overview
2. How It Works
3. Capabilities
4. Example Test Results
5. Key Differentiators

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Overview

Stack LiveView is a unique, first-of-its-kind observability solution that provides deep insight into stack layer relationships—from database health to routes and API performance.

LiveView vs Traditional Monitoring

Aspect	Traditional Monitoring	Stack LiveView
Approach	Static metrics (RPS, CPU, logs)	Metadata-driven, relationship-aware
Context	Isolated metrics per service	Full stack layer understanding
Insights	What is happening	What is happening AND why
Setup	Manual configuration per service	Automatic from stack metadata
Analysis	Surface-level symptoms	Root cause with dependencies

Unlike traditional observability tools that rely on static metrics, LiveView is metadata-driven. It leverages Stacktic metadata and the real state of your stack to deliver a richer understanding of how your components interact.

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🛠 How It Works

Please watch:

Simple Three-Step Setup

Step 1: Add the Agent

Simply deploy the LiveView agent into your stack

• Lightweight footprint
• Non-invasive deployment
• Works with existing monitoring

Step 2: Connect to API Gateway

Link the agent to your API gateway

• Automatic discovery of routes
• No manual configuration needed
• Instant visibility into API layer

Step 3: Automated Updates & Analysis

Everything happens automatically from here:

• Stack continuously updates API test results to Stacktic backend
  • Works with public SaaS or private Stacktic instance
• Backend analyzes results and maps relationships
• Real-time insights across all stack layers

Architecture Flow

LiveView Agent → API Gateway → Stack Components
       ↓              ↓              ↓
    Metrics      Route Tests    Health Checks
       ↓              ↓              ↓
         Stacktic Backend Analysis
                  ↓
         Relationship-Aware Insights

Step 3: Add your own customized tests

Create your own health, error detection and relation related to your stack (API structure guide will be generated under the stack agent documentations).

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✅ Capabilities

Comprehensive Stack Monitoring

Capability	What It Monitors	Unique Value
Database Health	Connectivity, performance, query patterns	Shows impact on dependent services
Security Checks	Compliance tests, policy validation	Automated from stack metadata
Auto-scaling Triggers	Resource consumption, scaling events	Predictive analysis based on relationships
API Performance	Route health, latency, error rates	Full request path visibility
Relationship Mapping	Service dependencies, data flows	Automatic from stack topology

Beyond Traditional Metrics

LiveView provides relationship-aware insights that show:

• How failures cascade through dependent services
• Which bottlenecks affect multiple components
• Real root causes, not just symptoms
• Predictive impact analysis

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📊 Example Test Results

MinIO Storage Analysis

Why is MinIO Orange?

Despite all buckets being validated successfully, LiveView identified critical issues:

• Finding: Errors detected in logs
• Root Cause: "Storage resources are insufficient"
• Impact: Potential service degradation under load
• Action: Increase storage allocation or implement cleanup policies

This demonstrates LiveView's deep analysis—going beyond simple health checks to examine logs and predict issues.

Detailed Storage Diagnostics

The detailed view shows:

• Individual bucket status
• Resource utilization patterns
• Log analysis results
• Recommended actions

RabbitMQ Test Results

RabbitMQ monitoring includes:

• Queue health and depth
• Exchange connectivity
• Consumer lag analysis
• Message flow patterns
• Performance metrics with relationship context

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Key Differentiators

What Makes LiveView Unique

Feature	Description	Business Value
Metadata-Driven	Uses stack topology knowledge	Automatic configuration
Relationship-Aware	Understands service dependencies	Better root cause analysis
Predictive Insights	Identifies issues before they escalate	Proactive problem solving
Deep Health Checks	Beyond ping/pong to actual functionality	Real availability metrics
Unified View	Single pane for entire stack	Reduced tool sprawl

LiveView Intelligence Examples

Example 1: Database Connection Issue

Traditional Monitoring: "Database connection timeout"
LiveView Analysis: 
  - "Database connection timeout affecting 3 backend services"
  - "API endpoints /users, /orders, /inventory will fail"
  - "Root cause: Connection pool exhausted"
  - "Recommendation: Increase pool size or optimize queries"

Example 2: Storage Warning

Traditional Monitoring: "Disk usage at 80%"
LiveView Analysis:
  - "Storage insufficient for MinIO buckets"
  - "Upload APIs will fail in ~2 hours at current rate"
  - "Affecting: Image processing, backup operations"
  - "Recommendation: Enable lifecycle policies or expand storage"

Integration Benefits

Benefit	Impact
Zero Configuration	Saves hours of setup time
Automatic Discovery	Finds all relationships automatically
Contextual Alerts	Reduces alert fatigue
Root Cause Analysis	Faster problem resolution
Predictive Warnings	Prevents outages

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🎯 Summary

LiveView Delivers

✅ Deep Observability - Beyond metrics to relationships
✅ Automatic Setup - No manual configuration needed
✅ Intelligent Analysis - Understands your stack topology
✅ Predictive Insights - Catches issues before they escalate
✅ Unified Monitoring - Single solution for stack-wide visibility

The LiveView Advantage

LiveView transforms monitoring from reactive metric watching to proactive relationship-aware observability.

With LiveView, you don't just see what's happening—you understand why it's happening and what will happen next, enabling truly proactive operations.

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Stack LiveView: See the full picture, not just the pixels.