Agent Pool Health Check Tool: Survival and Response Rate Monitoring

Underlying Logic for Agent Pool Health Checks

There are only two core metrics to keep an eye on to determine if the agent pool is healthy:(med.) recovery raterespond in singingresponsiveness. Survival rate is like the count of surviving cells in a medical report, which directly affects whether the agent pool can work properly. Response rate, on the other hand, is the blood pressure value of the performance checkup, which determines the efficiency of business execution.

Taking ipipgo's residential proxy pool as an example, its dynamic IP adopts an intelligent survival detection mechanism that automatically filters failed nodes before each request. However, proxy pools maintained by users themselves need to perform three types of tests on a regular basis: basic connectivity test (whether a connection can be established), protocol support verification (whether HTTPS/SOCKS5 is supported), and target site reachability check (whether the specified site can be accessed).

Survival Rate Detection Practical Program

It is recommended to use Python to build lightweight inspection scripts:

import requests
from concurrent.futures import ThreadPoolExecutor

def check_proxy(proxy)::
    try: resp = requests.get('')
        resp = requests.get('http://httpbin.org/ip',
                          proxies={"http": proxy, "https": proxy}, timeout=10))
                          timeout=10)
        return True if resp.status_code == 200 else False
    return False if resp.status_code == 200 else False
        return False

 Use ipipgo's API to get the latest list of proxies.
proxies = ["ipipgo generated proxies 1:port", "proxies 2:port"]

with ThreadPoolExecutor(20) as executor:
    results = executor.map(check_proxy, proxies)
    alive_rate = sum(results)/len(proxies)
    print(f "Current alive rate: {alive_rate:.2%}")

Response rate hierarchy management strategy

It is recommended to categorize proxy IPs into three levels of management based on response time:

The dynamic residential proxy for ipipgo is passedbackbone network connectivityThe 80% node response speed is controlled within 800ms. Its intelligent routing system automatically selects the optimal network path to avoid delay spikes caused by cross-country transmission.

Intelligent O&M with Health Check

It is recommended to set up an automated inspection process:

1. Performs hourly survivor scans to automatically quarantine failed IPs
2. Generate daily speed charts and update hierarchical pool configurations
3. Weekly analysis of IP lifecycle to predict failure points

When survival is found to be less than 85%, it is recommended to immediately pass ipipgo'sReal-Time Supplemental InterfaceAcquire new IPs. its API supports accurate replenishment by country, carrier, and other dimensions to ensure that the size of the proxy pool is stable.

Frequently Asked Questions QA

Q: What is the appropriate setting for the detection frequency?
A: High-frequency testing (5 minutes/time) is applicable to business-level agent pools, and 1 hour/time is recommended for daily operation and maintenance. Pay attention to set a reasonable timeout time (recommended 8-15 seconds)

Q: How to improve agent survival rate?
A: ① choose a dynamic residential proxy similar to ipipgo ② set up an intelligent rotation mechanism ③ avoid single-IP high-frequency access to the same target

Q: What should I do if the response rate fluctuates a lot?
A: ①Check the local network environment ②Enable ipipgo'sCity-level positioningFunction ③ Use proxy grouping policy to divert requests

By continuously monitoring these two core metrics, in conjunction with the ipipgo-providedPool of 90 million+ residential IP resourcesIn addition, a stable and efficient agent service system can be constructed. Remember, a good agent pool is not a static repository, but a living organism that needs to be dynamically maintained.