Network latency
---
- Network Latency: A Server Engineer's Guide
This article provides a detailed overview of network latency as it pertains to MediaWiki server performance. Understanding and mitigating latency is crucial for delivering a responsive experience to our users. This guide is geared towards system administrators and server engineers maintaining our MediaWiki installation.
What is Network Latency?
Network latency refers to the delay in data transfer between two points in a network. In the context of a MediaWiki server, this means the time it takes for a user's request to reach the server, and for the server's response to reach the user’s browser. High latency results in slow page load times, unresponsive editing interfaces, and an overall degraded user experience. It's often measured in milliseconds (ms). Several factors contribute to latency, including physical distance, network congestion, routing inefficiency, and server processing time. While server processing time is a related concern, this article focuses specifically on network-related delays. See also Performance optimization and Database queries for related topics.
Sources of Network Latency
Latency isn't a single issue; it's the sum of several delays. Understanding these sources is the first step towards addressing them.
- Propagation Delay: The time it takes for a signal to travel the physical distance between points. This is limited by the speed of light and is more significant over long distances.
- Transmission Delay: The time it takes to put all the data onto the transmission medium (e.g., a cable). This depends on the data packet size and the bandwidth of the link.
- Processing Delay: The time routers and switches take to process packet headers and determine the next hop.
- Queuing Delay: The time packets spend waiting in queues at routers and switches, especially during periods of high network traffic.
Measuring Network Latency
Several tools can be used to measure network latency.
- Ping: A basic utility that measures the round-trip time (RTT) to a target host. While simple, it provides a quick overview. `ping Special:MyLanguage/Help:Command line` for more details.
- Traceroute/Tracert: Shows the path packets take to reach a destination, along with the latency at each hop. Useful for identifying bottlenecks.
- MTR (My Traceroute): Combines the functionality of ping and traceroute, providing continuous updates and statistics.
- Network Monitoring Tools: More sophisticated tools like Nagios, Zabbix, or Prometheus can provide detailed latency monitoring and alerting. See System monitoring for our current tools.
Latency Metrics and Acceptable Values
| Metric | Acceptable Value | Warning Value | Critical Value |
|---|---|---|---|
| Round Trip Time (RTT) | < 50ms | 50ms - 150ms | > 150ms |
| Packet Loss | < 1% | 1% - 5% | > 5% |
| Jitter (RTT Variation) | < 10ms | 10ms - 30ms | > 30ms |
These values are guidelines and may vary depending on the specific application and user expectations.
Optimizing Network Latency
Reducing latency requires a multi-faceted approach.
- Content Delivery Network (CDN): Distribute static content (images, CSS, JavaScript) across multiple servers geographically closer to users. We currently use CDN configuration for static assets.
- Caching: Cache frequently accessed content at various levels (browser, server, proxy) to reduce the need to fetch it from the origin server repeatedly. See Caching strategies.
- Network Optimization: Work with our network provider to optimize routing and reduce congestion.
- Server Location: Place servers closer to the majority of our users.
- Protocol Optimization: Use efficient network protocols (e.g., HTTP/3) and compression techniques.
- Database Optimization: While not *directly* network latency, slow database queries can *appear* as latency to the user. See Database performance.
Server Hardware Considerations
The network interface card (NIC) and network infrastructure play a role.
NIC Specifications
| Specification | Value |
|---|---|
| NIC Type | 10 Gigabit Ethernet |
| Bus Type | PCI-Express 3.0 x8 |
| MTU (Maximum Transmission Unit) | 9000 bytes (Jumbo Frames enabled) |
| Supported Protocols | TCP/IP, UDP/IP, IPv6 |
Network Infrastructure
| Component | Specification |
|---|---|
| Core Routers | Cisco ASR 9000 Series |
| Core Switches | Arista 7050X Series |
| Firewall | Palo Alto Networks PA-820 |
| Load Balancers | HAProxy v2.4 |
These specifications are subject to change as we upgrade our infrastructure. Always consult Server hardware inventory for the most up-to-date information.
Advanced Techniques
- TCP Tuning: Adjust TCP parameters (e.g., window size, congestion control algorithm) to optimize performance for our network conditions.
- Quality of Service (QoS): Prioritize MediaWiki traffic over less critical traffic to ensure a consistent experience.
- Anycast DNS: Use Anycast DNS to route users to the closest available server.
Troubleshooting High Latency
1. Identify the source of the latency using the tools mentioned above (ping, traceroute, MTR). 2. Check server resource utilization (CPU, memory, disk I/O) to rule out server-side bottlenecks. See Server resource monitoring. 3. Examine network logs for errors or congestion. 4. Contact our network provider if the issue appears to be outside our control. 5. Consult the Troubleshooting guide for common issues.
Conclusion
Network latency is a critical factor influencing the performance of our MediaWiki site. By understanding its sources, measuring it effectively, and implementing appropriate optimization techniques, we can deliver a fast and responsive experience to our users. Regular monitoring and proactive maintenance are essential for keeping latency under control. Finally remember to consult Security best practices as network optimization should not compromise security.
---
Intel-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Core i7-6700K/7700 Server | 64 GB DDR4, NVMe SSD 2 x 512 GB | CPU Benchmark: 8046 |
| Core i7-8700 Server | 64 GB DDR4, NVMe SSD 2x1 TB | CPU Benchmark: 13124 |
| Core i9-9900K Server | 128 GB DDR4, NVMe SSD 2 x 1 TB | CPU Benchmark: 49969 |
| Core i9-13900 Server (64GB) | 64 GB RAM, 2x2 TB NVMe SSD | |
| Core i9-13900 Server (128GB) | 128 GB RAM, 2x2 TB NVMe SSD | |
| Core i5-13500 Server (64GB) | 64 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Server (128GB) | 128 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Workstation | 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 |
AMD-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Ryzen 5 3600 Server | 64 GB RAM, 2x480 GB NVMe | CPU Benchmark: 17849 |
| Ryzen 7 7700 Server | 64 GB DDR5 RAM, 2x1 TB NVMe | CPU Benchmark: 35224 |
| Ryzen 9 5950X Server | 128 GB RAM, 2x4 TB NVMe | CPU Benchmark: 46045 |
| Ryzen 9 7950X Server | 128 GB DDR5 ECC, 2x2 TB NVMe | CPU Benchmark: 63561 |
| EPYC 7502P Server (128GB/1TB) | 128 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/2TB) | 128 GB RAM, 2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/4TB) | 128 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/1TB) | 256 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/4TB) | 256 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 9454P Server | 256 GB RAM, 2x2 TB NVMe |
Order Your Dedicated Server
Configure and order your ideal server configuration
Need Assistance?
- Telegram: @powervps Servers at a discounted price
⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️