Server Dashboard

System Operational
CPU Usage
3.7%
64 Core(s) Available
RAM Usage
7.6%
9.72GB / 128GB
Disk Usage
7%
105.76GB / 3.79TB
Active Users(Estimates)
4000+
Peak Capacity: 10,000+
Response Time
34ms
-10ms from yesterday(Estimate)
Concurrent Connections
1,895
+5.2% from yesterday(Estimate)
Uptime
99.99%
847 days (Estimates)
Cache Hit Rate
94.7%
+2.1% from yesterday(Estimate)

Real-time Network Traffic

Storage I/O Performance

User Activity Patterns

Server Details

System Information

Hardware Specifications

  • CPU: Dual Xeon Gold 5218 (2 x 16 cores/32 threads @ 2.3GHz)
  • RAM: 128GB DDR4 ECC Server Grade
  • Storage: 4 x 1TB SSD NVMe Software RAID
  • Backup: 500GB Storage
  • Network: 1000 Mbps Unmetered Bandwidth
  • IP: 2 Dedicated IPv4 Addresses

Software Environment

  • Web Server: Nginx with Load Balancing
  • PHP Runtime: PHP-FPM 8.1 with OPcache
  • Database: MariaDB 10.8 with Replication
  • Cache: Redis for Session & Query Caching
  • Containerization: Docker
  • Management: aaPanel Control Panel

Scalability Information

The containerized architecture allows for horizontal scaling of individual components to support 10,000+ concurrent users:

  • Web Layer: Additional Nginx containers can be added to handle increased traffic
  • Application Layer: PHP-FPM workers can be scaled based on demand
  • Database Layer: Read replicas can be added for read-heavy workloads
  • Cache Layer: Redis cluster can be implemented for distributed caching

Current utilization allows for significant scaling before requiring additional hardware resources.

Container Ecosystem

Running Containers

moodle_nginx
High-performance web server handling HTTP/HTTPS requests, SSL termination, and load balancing across PHP-FPM processes
Running
moodle_php
PHP-FPM application server executing Moodle's core business logic with OPcache optimization for enhanced performance
Running
moodle_db
MariaDB database server with InnoDB engine, handling all persistent data storage with master-slave replication
Running
moodle_redis
In-memory data structure store providing high-speed caching for sessions, query results, and application data
Running
moodle_cron
Dedicated background task processor handling scheduled jobs, maintenance tasks, and automated system operations
Running

Load Balancing & Concurrency Management

The containerized architecture employs advanced strategies for handling high concurrency and optimal load distribution:

  • Nginx Load Balancing: Distributes incoming requests across multiple PHP-FPM worker processes using least-connections algorithm
  • PHP-FPM Process Manager: Dynamic process management with 25/75 active processes currently handling peak loads efficiently
  • Database Connection Pooling: MariaDB configured for 500+ concurrent connections with optimized query processing
  • Redis Distributed Caching: Reduces database load by 85% through intelligent caching of frequently accessed data
  • OPcache Optimization: Precompiled PHP bytecode reduces execution time by 60%
  • Auto-scaling Capability: Container orchestration ready for horizontal scaling during peak usage

The system currently handles 1,895 concurrent connections out of maximum capacity of 10,000+ users.

Layered System Architecture

Presentation Layer
End Users
Students, staffs, Administrators accessing via web browsers
Mobile Clients
Mobile app users and responsive web interface
HTTPS/SSL
Web Service Layer
moodle_nginx
Load Balancer, SSL Termination, Static Content Delivery
Security Layer
Firewall, DDoS Protection, Rate Limiting
FastCGI / HTTP
Application Layer
moodle_php
PHP-FPM Application Server with OPcache
Business Logic
Moodle Core, Plugins, Authentication
Database Queries / Cache Requests
Data Layer
moodle_db
MariaDB Primary Database with Replication
moodle_redis
In-Memory Cache & Session Store
moodle_cron
Background Task Processing

Architecture Benefits

This layered containerized microservices architecture provides:

  • Scalability: Each layer can be scaled independently based on demand
  • Fault Tolerance: Container isolation prevents cascading failures
  • Performance: Optimized resource allocation and caching strategies
  • Maintainability: Clear separation of concerns and modular deployment
  • Security: Network segmentation and access control between layers
  • Monitoring: Comprehensive observability across all components

Performance Analytics

System Performance Trends

Response Time Analysis

Homepage: 34ms

Course Dashboard: 52ms

Quiz Engine: 89ms

File Downloads: 67ms

Database Queries: 6ms avg

Cache Retrieval: 0.8ms

API Endpoints: 45ms

Static Assets: 12ms

User & Traffic Statistics

Current Active Users: 4000+

Peak Daily Load: 3,847 users

Weekly Average: 7,156 users

System Uptime: 99.99%

Total Registered Users: 14,000+

Monthly Active Users: 18,923

Concurrent Sessions: 1,895

Max Capacity: 10,000+

Database Performance

Query Cache Hit Rate: 94.7%

InnoDB Buffer Pool: 48GB utilized

Active Connections: 45/500

Slow Queries: < 0.1%

Replication Lag: 0ms

Table Locks: Minimal

Index Efficiency: 98.5%

Transaction Rate: 847/sec

Resource Allocation & Optimization

Container Resource Distribution

moodle_nginx (Web Server & Load Balancer)
8 Cores, 12GB RAM, 500GB Storage

Allocation Strategy: Nginx requires moderate CPU for connection handling, SSL termination, and load balancing. Generous RAM allocation ensures efficient buffering and caching of static content, supporting high-throughput operations for 10,000+ concurrent users.

moodle_php (Application Server)
32 Cores, 64GB RAM, 2TB Storage

Allocation Strategy: PHP-FPM is the primary application processor requiring maximum CPU allocation for business logic execution. Substantial RAM supports OPcache, user sessions, and application state management for optimal performance under heavy load.

moodle_db (Database Server)
16 Cores, 48GB RAM, 1.5TB Storage

Allocation Strategy: MariaDB requires significant CPU for query processing and substantial RAM for InnoDB buffer pool. This allocation ensures efficient data caching, reducing disk I/O and maintaining consistent performance during concurrent database operations.

moodle_redis (Cache Server)
6 Cores, 8GB RAM, 500GB Storage

Allocation Strategy: Redis operates entirely in memory, requiring dedicated RAM for cache storage and sessions. Moderate CPU allocation handles high-frequency cache operations and data structure manipulations efficiently.

moodle_cron (Background Tasks)
2 Cores, 4GB RAM, 400GB Storage

Allocation Strategy: Cron container handles background maintenance tasks with minimal resource requirements. Lightweight allocation ensures system maintenance without impacting user-facing performance.

Resource Utilization Overview

User Load Analysis & Capacity Planning

Simulate User Load Scenarios

Select a user load scenario to analyze system resource utilization and performance metrics:

1,000 Users (Current)
2,500 Users (Medium Load)
5,000 Users (High Load)
7,500 Users (Peak Load)
10,000+ Users (Maximum)

moodle_nginx

CPU: 8% | RAM: 2.1GB | Connections: 1,250/5,000

moodle_php

CPU: 25% | RAM: 16GB | Workers: 25/75

moodle_db

CPU: 18% | RAM: 24GB | Connections: 85/500

moodle_redis

CPU: 12% | RAM: 3.2GB | Hit Rate: 94.7%

Concurrency Performance Analysis

Comprehensive analysis of system performance across different user load scenarios:

User Load Response Time CPU Utilization RAM Utilization Cache Hit Rate Status
1,000 Users (Current) 34ms 3.7% 7.6% 94.7% Optimal
2,500 Users (Medium) 58ms 15% 22% 92.1% Excellent
5,000 Users (High) 89ms 38% 48% 89.4% Good
7,500 Users (Peak) 145ms 62% 71% 86.2% Acceptable
10,000+ Users (Maximum) 234ms 85% 89% 82.7% Near Capacity

Hardware Specifications

Physical Server Hardware

  • CPU: Dual Xeon Gold 5218 (2 x 16 cores/32 threads @ 2.3GHz, 3.9GHz Turbo)
  • RAM: 128GB DDR4-2933 ECC Server Grade Memory
  • Primary Storage: 4 x 1TB SSD NVMe in Software RAID 10 Configuration
  • Backup Storage: 500GB High-Speed Backup Storage
  • Network: 1000 Mbps Unmetered Bandwidth with DDoS Protection
  • IP Addresses: 2 Dedicated IPv4 Addresses
  • Uptime SLA: 99.99% Guaranteed Uptime

Container Resource Allocation

  • Nginx Container: 8 vCPU, 12GB RAM, High I/O Priority
  • PHP-FPM Container: 32 vCPU, 64GB RAM, OPcache Optimized
  • MariaDB Container: 16 vCPU, 48GB RAM, SSD Storage
  • Redis Container: 6 vCPU, 8GB RAM, Memory Optimized
  • Cron Container: 2 vCPU, 4GB RAM, Low Priority

Scalability & Future Growth

The infrastructure is designed for seamless scaling to accommodate growth:

  • Horizontal Scaling: Additional container instances can be deployed across multiple nodes
  • Vertical Scaling: Current hardware supports resource reallocation without downtime
  • Load Distribution: Multi-tier load balancing ensures optimal resource utilization
  • Database Scaling: Read replicas and sharding strategies ready for implementation
  • Cache Scaling: Redis cluster mode available for distributed caching
  • Auto-scaling: Container orchestration with automatic scaling based on metrics

Current capacity supports 10,000+ concurrent users with 75% headroom for future growth.