ip proxy pool implementation method: Docker build and maintenance practice

Docker plays around with proxy pools, fixing O&M problems in three minutes

Engage in proxy pool is the most headache is the environment configuration, different system versions, dependent library conflicts can drive people crazy. Last year, I helped a friend deploy a crawler project, just install the Python environment on the toss for two days. Until the discovery of Docker containerized deployment, these problems directly to zero.

Why Docker?

Traditional deployment is like building blocks, missing a part of the whole disk collapse. Docker is the entire building block table packaged away, three major advantages are particularly suitable for agent pools:

1. Environment isolation: each agent node runs independently and does not rob each other's resources.
2. Seconds expansion: found IP blocked? 30 seconds to add 10 new containers
3. Version Rollback: Problems with upgrading? One key to return to the stable version

Practical construction of four steps, white can also become a master

Take ipipgo Dynamic Residential Proxy as an example (the standard version of their home package option is sufficient), and demonstrate it by hand:

Step 1: Don't step on potholes by installing Docker

 On Ubuntu systems, just run these two lines
curl -fsSL https://get.docker.com | bash -s docker
sudo systemctl enable --now docker

Note! Windows users remember to turn on virtualization in the BIOS, or else you will be stuck until you doubt your life.

Step 2: The configuration file should be written like this

New proxy_pool.yml, core parameter settings:

ipipgo.
  api_key: "your key"
  region: ["us", "jp"] more than 3 regions are recommended
  protocol: socks5 more private than http
  change_interval: 300 5 minutes to change IPs

Step 3: The startup command has a mystery

docker run -d --name ip_pool
-v /your_path/config:/config
-e MAX_PROXIES=50 Adjust according to the business
-p 8080:8080 ip ipgo/proxy-pool

Operations and maintenance of three axes, lying can also manage the cluster

1. Surveillance tricks: Scanning logs daily to see error codes, too many 502s may be IP blocked
2. automatic reboot: Setting up a cron task to reset the exception container every day at dawn
3. traffic alert: Use the usage statistics in the ipipgo backend to set 80% threshold alerts

A Guide to Avoiding the Pit: Lessons Learned from Blood and Tears

Three Questions for the Soul: A Must-See QA for Newbies

Q: What should I do if my agent suddenly fails?
A: First execute docker logs to check the error logs, ninety percent of the cases are IP blocked. It is recommended to enable automatic switching mode in ipipgo console.

Q: How can I improve stability?
A: Two tricks: ① mix dynamic + static residential proxy ② different business with independent Docker network isolation.

Q: Do I choose a dynamic or static package?
A: crawlers choose dynamic (enterprise version is more stable), long-term hang with static. ipipgo's static proxy latency can be pressed to less than 50ms, faster than many people's WiFi.

Hidden tricks: 99% people do not know the tawdry operation

Adding this line to docker-compose improves 30% performance:

ulimits.
  nofile.
    soft: 10000
    hard: 10000

This is equivalent to opening VIP channels for containers, especially when hundreds of proxies need to be kept connected at the same time, and the effect is immediate.

Finally, to tell the truth, although the self-built agent pool to save money, but the maintenance cost is high. If it is an enterprise application, directly on the ipipgo API services more cost-effective, their dynamic residential agent to support 100 + concurrent requests per second, but also with intelligent failure retry mechanism, saving time enough to develop ten new features.