Stable Proxy Server: 99.9% Availability Enterprise Proxy

Why do proxy servers always drop out? Handy guide to pick a service provider as stable as an old dog!

Brothers engaged in data capture must have encountered this scenario: the script is running happily suddenly jammed, a look at the logs and proxy IP failure. Proxy service providers on the market 90% boast of their own stability, but the real use of it is like opening a blind box -It works in the morning and hangs up in the afternoon. It's worse in the middle of the night.The

Truly reliable agency services must meet at least three hard criteria:
1. Response time <50ms (faster than a blink of an eye)
2. IP pool size >10 million (as inexhaustible as a reservoir)
3. Automatic switching success rate >99.5% (can be connected in seconds after disconnection)

It's important to name names here.ipipgoThe enterprise-level agent of the family, our team measured 72 hours of continuous running, the number of dropped lines is actually only 3 times. They have a black technology calledhot standby channelThe main line automatically cuts the backup line within 0.3 seconds, which is more than 6 times faster than traditional agents.

Three tips to determine whether the agent is stable or not

Don't believe the service provider's self-promoted numbers, do-it-yourself testing is the only way to be reliable:

import requests
from datetime import datetime

def test_proxy(proxy): start = datetime.now()
    start = datetime.now()
    start = datetime.now()
        res = requests.get('http://ipipgo.com/check',
                         proxies={'http': proxy},
                         timeout=5)
        if res.status_code == 200:: delay = (datetime.now())
            delay = (datetime.now() - start).microseconds / 1000
            return f "Delay {delay}ms available"
    except.
        return "Proxy has failed"

 Test ipipgo East China node
print(test_proxy('http://user:pass@cn-east.ipipgo.io:8000'))

Running this script focuses on two indicators:
– First connection timeAbove 200ms, it is recommended to discard it.
– Continuous request fluctuation valueAnything over 301 TP3T will definitely pump up

The Hidden Playbook for Enterprise Level Agents

Using a good proxy server is like stir-frying vegetables to master the fire, to share a few practical tips:

Recently helped an e-commerce client withipipgoThe customized package did a tawdry operation: 200 proxy IPs were bound to different ASN segments, perfectly bypassing the IP detection of a platform's server room, and the success rate of data collection directly soared from 47% to 91%.

A must-see guide to avoiding the pitfalls for beginners

Q：Why does it always time out when I am actually using it?
A: Many service providers only send HEAD requests to detect survival, and the actual data transmission will be exposed when the bandwidth is not enough. It is recommended to chooseipipgorounding嘲笑嘲笑嘲笑嘲笑嘲笑嘲笑Real Traffic Testservice provider

Q: How do I automatically replace a lapsed proxy?
A: Add a retry mechanism to the code, example:

def smart_retry(url, retry=3): for _ in range(retry).
    for _ in range(retry).
        proxy = ipipgo.get_random_proxy() call ipipgo API
        result = fetch_page(url, proxy)
        if result: return result
    raise Exception("All proxies failed.")

This program works in conjunction withipipgos real-time IP pool status interface that enables failed IPs to be automatically eliminated within 15 seconds.

Remember these three things when choosing a service provider

1. Look.Frequency of IP updates: Don't consider daily updates <100,000
2. MeasurementFailure compensation mechanisms: Anyone who drops a line and doesn't make up the time is a hooligan.
3. CheckProtocol Support: at least dual protocol support for socks5 and https

Recently discoveredipipgoIt's an interesting one.Stability challengesThe company promises a 99.9% online rate, and can't directly compensate for double the time. We measured it really hard enough, do data wholesale counterparts can try their exclusive IP pool.