App Health

App Health provides real-time monitoring and performance insights for your application cache, exceptions, requests, and usage metrics.

App Health Overview

URL: /admin/app-health App Health Interface

Interface Elements

Cache Performance

Hits Counter: 603 successful cache retrievals (past hour)
Misses Counter: 12 failed cache retrievals (past hour)
Hit Rate: 98.04% success rate for cache operations

Cache Detail Table

Key Column: Cache function identifiers
Hits Column: Successful retrievals per function
Misses Column: Failed retrievals per function
Hit Rate Column: Success percentage per function

Application Usage

User Activity Tracker: Shows top users by request volume
Request Counter: Displays number of requests per user
User Information: Shows user email and identification

Exception Monitoring

Exception Counter: Tracks application errors (past hour)
Sort Controls: Allows sorting by count or other metrics
Status Indicator: Shows "No results" when no exceptions exist

Queue Management

Queue Status Display: Visual representation of processing pipeline
Queue Types:
- Queued
- Processing
- Processed
- Released
- Failed

Performance Metrics

Slow Queries: Database queries exceeding 1000ms threshold
Slow Requests: API requests exceeding 1000ms threshold
Slow Outgoing Requests: External service calls exceeding 1000ms threshold

Table Details

Cache Keys: Function names like getCountLinuxPHPCache and getResiPHPCache
Performance: 97.5% hit rate for key cache functions
Request Data: Admin user with 70 requests in the past hour

Feature Functionality

Cache Monitoring

Monitor application cache performance
Track hit rates across key cache functions
Identify cache inefficiencies
Optimize application response times

Performance Tracking

Identify slow queries and requests
Monitor application usage patterns
Track user engagement metrics
Analyze system bottlenecks

Exception Management

Real-time exception monitoring
Exception categorization
Error trend analysis
Proactive error management

Queue Visualization

Track job processing status
Monitor queue health
Identify processing bottlenecks
Optimize job processing performance

System → App Health
Integrated with other system monitoring tools

Health Check
Linux Packages
Panel Log
Supervisor Log
System Updates
Cron Jobs
Settings

Best Practices

Performance Optimization

Regularly review cache hit rates
Optimize functions with low hit rates
Monitor slow queries and requests
Analyze application usage patterns

Exception Handling

Proactively address recurring exceptions
Monitor exception trends
Implement error reduction strategies
Document exception resolution steps

Troubleshooting

Common Scenarios

Low cache hit rates
Slow database queries
Recurring exceptions
Queue processing delays

Resolution Steps

Identify performance bottlenecks
Review cache implementation
Optimize database queries
Refine application code
Scale resources as needed

System Integration

Complementary Tools

Works with Health Check
Integrates with Panel Log
Supports System Updates
Compatible with Linux Packages

System Requirements

Prerequisites

Active AdminBolt subscription
Proper system permissions
Web application environment
Network connectivity

Technical Specifications

Real-time performance monitoring
Comprehensive exception tracking
Advanced cache analysis
Low overhead monitoring

Maintenance Guidelines

Regular Tasks

Review cache performance weekly
Analyze slow queries daily
Address exceptions promptly
Optimize underperforming functions

Best Practices

Keep application updated
Monitor system resources
Implement performance enhancements
Maintain detailed error logs

Management Benefits

Real-time application health insights
Proactive performance optimization
Comprehensive error tracking
Cache efficiency monitoring
Request performance analysis
User activity visibility
Queue processing oversight
System bottleneck identification