Throughput: High Performance
147K
Requests per minute
⚡ Response Time
↗ +15%23ms
Average API response time
🎯 Success Rate
↗ +2%98.7%
HTTP 2xx responses
🔄 Cache Hit Rate
→ stable94.2%
MySQL query cache efficiency
API Health
Optimal
Database
Connected
Memory Usage
78%
Load Balancer
Active
📈 Request Volume (24h)
📊
API Request Analytics
Real-time throughput monitoring
🚀 Quick Actions
🗄️ Optimize Cache
Clear & Rebuild
📈 Scale Pool
Add Connections
🔧 Diagnostics
System Check
🔗 API Endpoints Management
| Endpoint | Method | Avg Latency | Requests/Min | Success Rate | Cache Hit | Status | Actions |
|---|---|---|---|---|---|---|---|
| /api/v1/users | GET | 12ms | 2,847 | 99.2% | 96.8% | Healthy | |
| /api/v1/posts | POST | 45ms | 1,234 | 98.7% | 87.3% | Healthy | |
| /api/v1/analytics | GET | 120ms | 567 | 95.4% | 78.9% | Needs Optimization |
📊 Performance Analytics
CPU Usage
34.2%
↓ -5% from last hour
Memory Usage
78.4%
↑ +3% from last hour
Network I/O
156 MB/s
↑ +12% from last hour
Disk I/O
23 MB/s
→ stable
⚡ Performance Meters
Response Time
23ms
Throughput
147K/min
Error Rate
1.3%
🗄️ Cache Management System
MySQL Query Cache
94.2%
Hit rate • 2.1GB cached
Redis Cache
87.6%
Hit rate • 856MB cached
CDN Cache
99.1%
Hit rate • Global edge
MySQL Cache Configuration
SET GLOBAL query_cache_size = 268435456;
SET GLOBAL query_cache_type = ON;
SET GLOBAL query_cache_limit = 1048576;
-- Optimized cache settings for high-performance API
SHOW VARIABLES LIKE 'query_cache%';
🔌 MySQL Connection Pool
Active Connections
45
Currently processing requests
Idle Connections
15
Available for new requests
Pool Efficiency
89.3%
Connection utilization rate
🔗 Connection Pool Visualization
Active
Idle
Unavailable
⚡ MySQL Query Optimization
| Query Type | Avg Time | Executions | Index Usage | Optimization | Actions |
|---|---|---|---|---|---|
| SELECT users WHERE id = ? | 0.8ms | 15,247/min | Primary Key | Optimized | |
| SELECT posts ORDER BY created_at | 15ms | 3,421/min | Index (created_at) | Good | |
| Complex Analytics JOIN | 156ms | 234/min | Partial | Needs Work |
Query Optimization Example
-- Before optimization (slow)
SELECT u.*, p.title, c.content
FROM users u
LEFT JOIN posts p ON u.id = p.user_id
LEFT JOIN comments c ON p.id = c.post_id
WHERE u.status = 'active';
-- After optimization (fast)
SELECT u.*, p.title, c.content
FROM users u
LEFT JOIN posts p ON u.id = p.user_id AND p.status = 'published'
LEFT JOIN comments c ON p.id = c.post_id AND c.approved = 1
WHERE u.status = 'active'
AND u.created_at > DATE_SUB(NOW(), INTERVAL 1 YEAR)
ORDER BY u.last_activity DESC
LIMIT 100;
📈 Real-time System Monitor
📊 Live Metrics
📈
Real-time Performance Graph
Response times and throughput
🔴 Live Status
✓ API Gateway: Healthy
✓ MySQL Primary: Connected
✓ Read Replicas: 3/3 Active
⚠ Memory Usage: 78%
✓ Load Balancer: Distributing
📋 System Logs & Diagnostics
[INFO]
API endpoint /api/v1/users responded in 12ms
[INFO]
MySQL connection pool: 45 active, 15 idle connections
[WARN]
Query cache hit rate dropped to 94.2%
[INFO]
Load balancer distributed 1,247 requests across 4 servers
[ERROR]
Slow query detected: SELECT * FROM analytics (156ms)