Solving Session Persistence Issues in Load-Balanced Environments
In a distributed architecture where multiple backend instances handle incoming traffic, maintaining a consistent authentication state is a common challenge. Typically, a standard implementation involves issuing a unique token to the user upon a successful login. This token is stored in a centralized cache, such as Redis, and the client must inc ...
Posted on Thu, 30 Jul 2026 16:08:16 +0000 by jordan00
Load Balancing with Nginx
Load Balancing Fundamentals
Global Server Load Balancing (GSLB)
GSLB operates across geographically distributed infrastructure with the following components:
Global Coordinator: Oversees the entire traffic distribution system
Regional Dispatcher: Manages traffic within a specific geographic area
Application Controller: Routes requests to appro ...
Posted on Sun, 26 Jul 2026 16:08:27 +0000 by T Horton
Leveraging Nginx for Reverse Proxying, Load Balancing, and Content Separation
Nginx functions as a reverse proxy by positioning itself infront of origin servers. It intercepts client requests, forwards them to the appropriate backend server, and returns the server's response to the client. This abstraction shields the client from the direct existence of the backend infrastructure.
Load balancing is achieved using Nginx's ...
Posted on Sat, 25 Jul 2026 16:10:58 +0000 by Jezza
Comprehensive Guide to Nginx Web Service Architecture
HTTP Protocol Request and Response Process
Perform a simple HTTP request to observe the process:
curl -v www.baidu.com
HTTP Request Message
Request Line
Request Method: GET (read/retrieve) or POST (write/submit)
Request Resource: e.g., index.html, oldboy.jpg
Protocol Version: HTTP/1.0 (short-lived TCP connections), HTTP/1.1 (persistent TCP ...
Posted on Fri, 24 Jul 2026 16:54:56 +0000 by rakuci
Applying Weighted Round Robin Algorithm to Solve Rate Limiting Challenges in Data Processing
Problem Scenario
Consider the following scenario: There's a batch of data that needs to query a downstream system through a unified interface. Since this data belongs to different platforms, the query request specifies which platform each data item belongs to (Platform A, Platform B, etc.).
In this scenario, the final query results are returned ...
Posted on Wed, 22 Jul 2026 16:59:03 +0000 by Full-Demon
Nginx Configuration and Management Guide
Nginx Basics
1. Common Commands
nginx -v # Show version
ps -ef | grep nginx # List nginx processes
nginx # Start nginx
nginx -s reload # Reload configuration
nginx -s stop # Stop nginx
nginx -t # Test configuration f ...
Posted on Wed, 22 Jul 2026 16:27:50 +0000 by slayer22
Using MySQL Proxy for Read-Write Splitting
MySQL Proxy is an official middleware solution from MySQL that provides load balancing, read-write splitting, and failover capabilities. It acts as a connection pool between the application and the data base servers, forwarding frontend requests to the appropriate backend databases. By using Lua scripts, it can implement complex connection cont ...
Posted on Wed, 22 Jul 2026 16:03:06 +0000 by Nixon
Eureka Service Registration and Discovery
Currrent Project Architecture Issues
Introducing Eureka
In a typical project, the member center is often deployed as a cluster to handle high concurrency and large loads. For instance, if the member center runs on a single host that can only handle 10,000 requests, many concurrent requests would overwhelm it. By using a cluster (multiple serve ...
Posted on Tue, 21 Jul 2026 16:04:28 +0000 by whitepony6767
LVS Load Balancing: NAT and DR Mode Implementation
Introduction to LVS
LVS (Linux Virtual Server) is an open-source project initiated by Wensong Zhang, primarily designed to achieve load balancing at the Linux kernel level. It enables the creation of a high-availability, high-performance server cluster by distributing client requests among backend servers according to load balancing algorith ...
Posted on Mon, 20 Jul 2026 17:40:42 +0000 by soulroll
Dynamic Programming Solutions for Three Algorithmic Problems
Ehab and the Expected GCD Problem
The key insight is that the first element should have the maximum number of prime factors, and subsequent elements should remove at most one prime factor per step for optimality. The smallest prime factors are 2 and 3, and using 3 more than once is suboptimal (e.g., 5 can be replaced by 2² for better results). ...
Posted on Fri, 17 Jul 2026 17:02:09 +0000 by RossC0