How to choose the geographical locations for deploying proxy nodes?

Selecting node locations requires a comprehensive consideration of target user distribution, network backbone node locations, and cost. The basic principle is proximity to users, prioritizing deployment in data centers within first or second-tier cities in user-dense regions. Additionally, choose network environments connected to multiple top-tier ISPs and consider deploying nodes across different continents or countries for global coverage and redundancy. For businesses expanding overseas, local IDCs or cloud providers in the target regions are the preferred choice.

What is an appropriate frequency for health checks?

Health check frequency requires a balance between timeliness and system overhead. For critical services, active check intervals are recommended between 1-5 seconds, while passive checks should be conducted in real-time. Too high a frequency creates unnecessary load on nodes and the scheduler; too low a frequency increases the Mean Time To Detect (MTTD) failures. Typically, TCP port checks can have shorter intervals (e.g., 2 seconds), while full HTTP service checks can be slightly longer (e.g., 5-10 seconds). The specific values should be adjusted based on network stability and business SLA requirements.

What are specific use cases for consistent hashing in a proxy pool?

Consistent hashing is primarily used in scenarios requiring session state or connection affinity. Examples include: 1) Certain web applications requiring login state, where user sessions must always be handled by the same backend node; 2) TCP-based proxy protocols, where for connection stability, it's best to keep a client's long-lived connection fixed to one node; 3) Caching scenarios, where identical requests are desired to hit the local cache of the same node. In implementation, the client IP or user ID is typically used as the hash key to ensure their requests are directed to a fixed node on the hash ring.

Building a High-Availability Proxy Node Pool: Architecture Design, Load Balancing, and Failover Strategies

3/2/2026 · 4 min

The Core Value of a High-Availability Proxy Node Pool

In today's distributed network environment, a single proxy node can no longer meet the demands for stability, performance, and security. Building a high-availability proxy node pool distributes traffic across multiple geographically dispersed nodes, achieving load balancing, avoiding single points of failure, improving access speeds, and enhancing resilience against network interference. This is crucial for ensuring business continuity, optimizing user experience, and enabling global deployment.

Architecture Design: Layering and Redundancy

A robust high-availability proxy pool typically employs a layered architecture.

1. Access Layer (Entry Points)

This layer is responsible for receiving all connection requests from clients. It usually consists of multiple load balancers (e.g., Nginx, HAProxy) or Anycast IPs to achieve initial traffic distribution and DDoS protection. It is recommended to deploy multiple entry points across different cloud providers or data centers for geographical redundancy.

2. Scheduling Layer (The Brain)

This is the intelligent core of the system, responsible for assigning requests to the optimal backend proxy node based on predefined policies. The scheduler needs to collect real-time health status (latency, packet loss, load, bandwidth usage) from each node and make decisions based on algorithms. The scheduling layer itself should be stateless for easy horizontal scaling.

3. Node Layer (Execution Units)

This layer consists of a large number of proxy nodes deployed in diverse network environments (e.g., different IDCs, cloud providers, ISPs). Nodes should be lightweight, quick to start, and easy to manage. It is advisable to categorize nodes by region, network type, or performance tier to enable fine-grained scheduling by the scheduler.

Load Balancing Strategies: From Simple to Intelligent

Load balancing strategies directly impact the overall performance and resource utilization of the pool.

Round Robin: The simplest method, distributing requests in sequence. Suitable for scenarios where node performance is similar.
Weighted Round Robin / Least Connections: Assigns weights based on node performance (e.g., CPU, bandwidth) or current connection count, giving more traffic to better-performing nodes.
Latency/Geo-Based: Routes requests to the node with the lowest latency or closest geographical distance, significantly improving access speed. This requires the scheduler to have real-time latency probing capabilities.
Consistent Hashing: Ensures requests from the same user or session are always forwarded to the same backend node, which is vital for stateful applications.
Adaptive Intelligent Scheduling: Combines machine learning algorithms to dynamically analyze historical traffic data, node performance trends, and network conditions to predict and route to the optimal node. This represents the future direction.

Failover and Health Checks: Ensuring Zero Downtime

The core of high availability lies in fast, automated failover.

Health Check Mechanisms

Both active and passive health checks must be implemented for each proxy node.

Active Checks: The scheduler periodically (e.g., every second) sends probe requests (ICMP Ping, TCP handshake, HTTP GET) to nodes to check reachability, latency, and basic service status.
Passive Checks: Monitor the success rate, response time, and other metrics of actual business requests passing through the node. If the failure rate exceeds a threshold, the node should be marked as unhealthy even if active checks pass.

Failover Process

Detection: The health check mechanism detects node failure or severe performance degradation.
Isolation: Immediately remove the node from the available pool, stopping new traffic assignments.
Traffic Redirection: Smoothly migrate existing connections destined for the failed node and subsequent new requests to other healthy nodes. For TCP long connections, client-side or protocol support for reconnection is required.
Alerting and Recovery: Notify operations personnel and attempt automatic restart or repair of the node. Once the node passes health checks, gradually reintroduce it to the load pool.

Implementation Recommendations and Best Practices

Infrastructure as Code (IaC): Use tools like Terraform and Ansible to automate node deployment and configuration, ensuring environment consistency.
Containerized Deployment: Containerize proxy software (e.g., V2Ray, Trojan-go) for easy scaling, migration, and version management.
Multi-Cloud and Hybrid Cloud: Distribute nodes across multiple cloud providers and your own IDCs to avoid impact from a single vendor's outage.
Comprehensive Monitoring: Establish dashboards covering node status, network quality, business metrics, and security events.
Canary Releases and Stress Testing: Conduct thorough canary releases and stress tests before any architectural or policy changes to validate high availability.

By combining the above architecture design, intelligent scheduling, and rapid failover, you can build a truly high-availability, highly elastic, and high-performance proxy node pool, providing a solid network foundation for your business.