Table of contents

We discuss why standard connections struggle when the number of requests and accounts increases, and how to design a proxy infrastructure for real-world tasks.

Introduction

As long as tasks remain local, everything operates fairly smoothly. One or two accounts, infrequent requests, and small data volumes— the system runs without hiccups.

However, the situation changes when scale comes into play. The number of accounts grows, action frequency increases, processes start running in parallel, and distributed work across regions emerges.

At this point, disruptions occur that are hard to explain at the interface level. Sessions drop, responses slow down, and service behavior begins to deviate from expectations.

This is no longer a question of tools; it’s a matter of infrastructure.

Why It Becomes Difficult Without Proxies

The main issue is the increased load. When dozens or hundreds of requests come from a single source, the system starts to perceive this as an anomaly. Even if the actions are legitimate, the traffic structure appears unnatural.

Geographical factors also come into play. If tasks involve different regions, a single connection point no longer provides an accurate picture.

Session stability is also crucial. During extended work, it's critical for the IP to either not change randomly or, on the contrary, remain stable where necessary.

As a result, without proxies, it becomes challenging to:

  • Distribute load evenly
  • Work across different regions
  • Maintain stable sessions
  • Scale processes without sacrificing quality

How to Address Such Tasks at the Infrastructure Level

In practice, solutions are built around architecture rather than individual IPs. An address pool is utilized to distribute requests. Different types of traffic are separated—some processes require rotation, while others demand stability. Geography is taken into account—connections are selected for specific regions.

The key principle is to avoid overloading a single point and to distribute the flow.

Manageability is also important. Without an API and system-level control, it’s hard to maintain stability as growth occurs.

This architecture allows for not just executing tasks but doing so consistently and without disruptions.

How This Is Implemented in Practice

Proxy infrastructure for scaling tasks and working with accounts

From an infrastructure perspective, Mango Proxy addresses this level effectively.

The service offers various types of proxies that can be combined to meet specific needs. This is crucial because real scenarios rarely involve just one type of connection.

With a vast IP pool (90+ million), there’s flexibility in distributing load. A broad geographical reach (200+ countries for dynamic proxies and 30+ for static ones) allows for engagement in regional scenarios.

An average response time of less than 0.5 seconds and stability over 99.7% are important not just on their own but within the context of long processes, where any connection drop affects results.

It’s worth noting that management is carried out through a panel and API—this allows for integrating proxies into existing processes instead of using them manually.

Types of Proxies and When to Use Them

Different tasks require different connection behaviors.

  • Residential Proxies (Dynamic) — suitable for tasks where request distribution and IP variability are important
  • Dynamic ISP Proxies — balance between stability and IP changes
  • Static ISP Proxies — used for stable sessions
  • Dynamic Server Proxies — suitable for high-load tasks
  • Static Server Proxies — fixed connections without IP changes
  • Static Mobile Proxies — for scenarios with heightened trust requirements

Pricing and Payment Models

Types of proxies and pricing: residential, static, and mobile proxies

The payment model depends on the type of proxy.

The traffic model applies to dynamic proxies:

  • Residential — from $2.00 / GB
  • Dynamic ISP — from $0.80 / GB
  • Dynamic Server — from $0.60 / GB

The IP model is used for static solutions:

  • Static ISP — from $2.90 per IP
  • Static Server — from $1.90 per IP
  • Mobile — from $18.90 per IP

Practical Conclusions

Mango Proxy will be beneficial for tasks where:

  • Process scaling is involved
  • Work across multiple regions is required
  • Session stability is important
  • Automation or API usage is involved

If tasks remain at a basic level, the need for such infrastructure may not arise.

FAQ

When are dynamic proxies needed?
When it’s essential to distribute a large number of requests and work with an IP pool.

When is it better to use static IPs?
When stable sessions and constant connections are crucial.

Can different types of proxies be combined?
Yes, this is standard practice.

How important is geography?
It’s critically important for regional tasks.

What is more important—speed or stability?
It depends on the usage scenario.

Is an API necessary?
Yes, if processes are automated.

Conclusion

As load increases, it becomes clear that the issue is not just with individual tools, but with how the entire system for handling connections is structured.

In this context, proxies become a part of the infrastructure rather than just an auxiliary tool.

And the choice here is not about a specific service but about fitting tasks, scale, and stability requirements.