Why choose AWS/Google Cloud to build a proxy server?
Nowadays, many technical teams prefer to deploy proxy services using public cloud platforms.AWS and Google Cloud have the widest global distribution of server roomsThe nodes are located in Japan, Germany, Brazil and other popular areas. The server latency of the Tokyo node can be controlled within 50ms, which is much more efficient than the self-built server room. There is also a hidden advantage: the IP pool of the cloud service provider is naturally credible, and some platforms are relatively lax in detecting cloud IPs.
Hands-on deployment of proxy service environments
Using AWS EC2 as an example, focus on three things when creating an instance:
1. Choose Ubuntu 22.04 (best compatibility)
2. Security group opens port 3128 (Squid default port)
3. Selection of target countries by geographic location (e.g., Ohio, United States)
Install the Squid proxy sudo apt-get update sudo apt-get install squid -y Modify the configuration file sudo nano /etc/squid/squid.conf Add these two lines http_access allow all http_port 3128 Restart the service sudo systemctl restart squid
Google Cloud operates similarly, but note that firewall rules need to be configured separately. To test if the proxy is working, use the curl command:
curl -x http://你的服务器IP:3128 https://ipinfo.io/ip
How to break the fatal flaw of self-built agents?
I often encounter these two problems when I build my own server:
- IP blocking probability up to 60% (especially for repeated use)
- Individual IPs cannot simulate real user distribution
at this momentipipgo's residential IP poolIt comes in handy. Their dynamic IP pool covers 240+ countries, which just makes up for the shortcomings of the single IP of the cloud server. In the crawler scenario, you can first use the self-built server as a scheduling center, through the ipipgo interface in real time to obtain residential IP, so as to ensure stability and avoid blocking.
Program Comparison | Build Your Own Cloud Server | ipipgo proxy |
---|---|---|
IP Type | Data Center IP | Home Broadband IP |
life cycle | invariant | dynamic replacement |
geographic location | Dependent server location | Precise to city level |
The golden combination program in the real world
It is recommended to use AWS/Google Cloud Servers as astaging post, for example:
User device → cloud server (traffic encryption) → ipipgo residential IP → target website
There are three benefits to this architecture:
1. Core business servers do not expose their real IPs
2. Request load balancing through cloud servers
3. Automatic change of residential IP to avoid risk control
Must See QA: A Guide to Avoiding the Pit
Q: Will the cloud server traffic cost a lot?
A: It is recommended to turn on the traffic monitoring, business peak with ipipgo's API to switch the direct connection mode, can save 40% or more traffic costs
Q: Why is the proxy speed sometimes fast and sometimes slow?
A: Check if the server CPU utilization rate is over 70%, and also test ipipgo nodes in different regions. Their intelligent routing system will automatically select the optimal line
Q: How can I prevent my proxy from being abused?
A: Set up a whitelisted IP in the Squid configuration file while using ipipgo'sFingerprint Browser BindingFunctionality, separate browser environments per IP binding
When encountering a surge of CAPTCHAs, it is recommended to add ipipgo to the code layer of theAutomatic threshold switching, a single IP visit over 50 times is replaced immediately. Their API response speed is measured at around 80ms, which is 2 times faster than most service providers.