Server Performance
Server performance refers to the speed and efficiency with which a web server processes requests and delivers responses. It is a critical factor for SEO, as Google uses loading times as a ranking signal and directly influences Core Web Vitals.
Why Server Performance is Important for SEO
1. Direct Ranking Factor
Google confirms that Page Speed is a ranking factor. Slow loading times lead to worse rankings in search results.
2. Core Web Vitals
Server performance directly influences several Core Web Vitals:
- LCP (Largest Contentful Paint): Server response time is an important factor
- FID (First Input Delay): JavaScript execution is influenced by server performance
- CLS (Cumulative Layout Shift): Resource loading can cause layout shifts
3. User Experience
Fast loading times significantly improve user experience:
- 53% of users leave a page that takes longer than 3 seconds to load
- Every second of loading time improvement increases conversions by 7%
- Mobile users are particularly sensitive to slow loading times
Server Performance Metrics
1. Time to First Byte (TTFB)
The time between sending a request and receiving the first byte of the response.
Rating
Time
Description
Good
< 200ms
Optimal performance
Needs Improvement
200-500ms
Acceptable but optimizable
Poor
> 500ms
Critical, immediate optimization needed
2. Server Response Time
The total time the server needs to generate a complete response.
Rating
Time
Description
Optimal
< 100ms
Excellent performance
Acceptable
100-300ms
Good performance
Critical
> 300ms
Optimization urgently required
3. Throughput
The number of requests the server can process per second.
Server Performance Optimization
1. Optimize Server Hardware
CPU Optimization:
- Use modern multi-core processors
- Optimize CPU-intensive tasks
- Load balancing for better distribution
RAM Optimization:
- Provide sufficient working memory
- Operate caching systems in RAM
- Avoid memory leaks
Storage Optimization:
- SSD hard drives for better I/O performance
- RAID configurations for redundancy
- Separate partitions for logs and data
2. Web Server Configuration
Apache Optimization:
# Enable KeepAlive
KeepAlive On
MaxKeepAliveRequests 100
KeepAliveTimeout 5
# Disable modules
LoadModule rewrite_module modules/mod_rewrite.so
# Gzip compression
LoadModule deflate_module modules/mod_deflate.so
Nginx Optimization:
# Worker processes
worker_processes auto;
# Worker connections
worker_connections 1024;
# Gzip compression
gzip on;
gzip_types text/plain text/css application/json application/javascript text/xml application/xml application/xml+rss text/javascript;
3. PHP Optimization
Enable OPcache:
opcache.enable=1
opcache.memory_consumption=128
opcache.max_accelerated_files=4000
opcache.revalidate_freq=2
opcache.fast_shutdown=1
Optimize PHP-FPM:
pm = dynamic
pm.max_children = 50
pm.start_servers = 5
pm.min_spare_servers = 5
pm.max_spare_servers = 35
pm.max_requests = 1000
4. Database Optimization
MySQL Optimization:
-- InnoDB Buffer Pool
innodb_buffer_pool_size = 1G
-- Query Cache
query_cache_type = 1
query_cache_size = 64M
-- Connection Limits
max_connections = 200
Optimize Indexing:
- Perform regular index analyses
- Remove unnecessary indexes
- Create composite indexes for frequent queries
Caching Strategies
1. Server-Side Caching
OPcache for PHP:
- Bytecode caching for compiled PHP scripts
- Significantly reduces CPU load
- Automatic invalidation on code changes
APCu for User Data:
- Caching of application data
- Fast access to frequently used data
- Reduces database queries
2. Application-Level Caching
Implement Redis:
// Redis configuration
$redis = new Redis();
$redis->connect('127.0.0.1', 6379);
// Cache data
$redis->setex('cache_key', 3600, $data);
// Retrieve data
$cached_data = $redis->get('cache_key');
Use Memcached:
- Distributed caching
- Scalable solution
- Reduces database load
3. Database Query Caching
Enable Query Cache:
-- MySQL Query Cache
SET GLOBAL query_cache_type = ON;
SET GLOBAL query_cache_size = 67108864;
Use Prepared Statements:
- Better performance for repeated queries
- Protection against SQL injection
- Optimized execution plans
CDN Integration
1. Content Delivery Network
CDN Benefits:
- Geographically distributed servers
- Reduced latency for end users
- Relief of origin server
- Better Core Web Vitals
CDN Providers:
- Cloudflare
- Amazon CloudFront
- KeyCDN
- MaxCDN
2. CDN Configuration
Set Cache Headers:
# Static content
<FilesMatch "\.(css|js|png|jpg|jpeg|gif|ico|svg)$">
ExpiresActive On
ExpiresDefault "access plus 1 year"
Header set Cache-Control "public, immutable"
</FilesMatch>
Gzip Compression:
<IfModule mod_deflate.c>
AddOutputFilterByType DEFLATE text/plain
AddOutputFilterByType DEFLATE text/html
AddOutputFilterByType DEFLATE text/xml
AddOutputFilterByType DEFLATE text/css
AddOutputFilterByType DEFLATE application/xml
AddOutputFilterByType DEFLATE application/xhtml+xml
AddOutputFilterByType DEFLATE application/rss+xml
AddOutputFilterByType DEFLATE application/javascript
AddOutputFilterByType DEFLATE application/x-javascript
</IfModule>
Monitoring and Analysis
1. Server Monitoring Tools
Real-Time Monitoring:
- New Relic
- DataDog
- Pingdom
- GTmetrix
Monitor Server Metrics:
- CPU utilization
- RAM consumption
- Disk I/O
- Network traffic
- Response times
2. Performance Testing
Conduct Load Testing:
# Apache Bench
ab -n 1000 -c 10 https://example.com/
# Siege
siege -c 10 -t 60s https://example.com/
# wrk
wrk -t12 -c400 -d30s https://example.com/
Stress Testing:
- Identification of performance bottlenecks
- Determination of maximum capacity
- Optimization of server configuration
Common Performance Problems
1. Slow Database Queries
Identify Problems:
-- Find slow queries
SELECT * FROM information_schema.processlist
WHERE time > 5;
-- Analyze query performance
EXPLAIN SELECT * FROM users WHERE email = 'test@example.com';
Solution Approaches:
- Add indexes
- Optimize queries
- Implement connection pooling
- Use read replicas
2. Inefficient PHP Code
Conduct Profiling:
// Xdebug profiling
xdebug_start_trace('/tmp/trace');
// Execute code
xdebug_stop_trace();
Optimizations:
- Avoid unnecessary loops
- Optimize regular expressions
- Reduce memory consumption
- Implement caching
3. Unoptimized Images
Image Optimization:
- Use WebP format
- Implement lazy loading
- Responsive images
- Optimize compression
Best Practices for Server Performance
1. Regular Maintenance
Weekly Tasks:
- Analyze log files
- Check performance metrics
- Evaluate cache statistics
- Monitor error logs
Monthly Tasks:
- Perform server updates
- Optimize database
- Conduct performance tests
- Review backup strategies
2. Scaling Strategies
Vertical Scaling:
- Upgrade server hardware
- Add more RAM
- Install faster CPUs
- Expand SSD storage
Horizontal Scaling:
- Implement load balancer
- Multiple server instances
- Microservices architecture
- Container orchestration
3. Security and Performance
Optimize Security Headers:
# Security Headers
Header always set X-Content-Type-Options nosniff
Header always set X-Frame-Options DENY
Header always set X-XSS-Protection "1; mode=block"
Header always set Strict-Transport-Security "max-age=31536000; includeSubDomains"
Optimize SSL/TLS:
- Use modern cipher suites
- Enable HTTP/2
- Implement OCSP stapling
- Use perfect forward secrecy
Checklist: Server Performance Optimization
Server Configuration
☐ Use modern hardware
☐ Configure web server optimally
☐ PHP OPcache enabled
☐ Database optimized
☐ Gzip compression enabled
Caching Implemented
☐ PHP OPcache enabled
☐ Application-level caching
☐ Database query caching
☐ CDN integrated
☐ Browser caching configured
Monitoring Set Up
☐ Performance monitoring active
☐ Alerts configured
☐ Log analysis automated
☐ Regular performance tests
☐ Backup strategies implemented
Security Ensured
☐ Security headers set
☐ SSL/TLS optimized
☐ Firewall configured
☐ Updates automated
☐ Access rights minimized
Related Topics
Last Update: October 21, 2025