chrisedrego

apiVersion: apps/v1
kind: Deployment
metadata:
  name: redisinsight
  labels:
    app: redisinsight
spec:
  replicas: 1
  selector:
    matchLabels:

zjnxyz

        /**
         * 随机字符串
         */
        private static final char[] CHARS = new char[] {'F', 'L', 'G', 'W', '5', 'X', 'C', '3',
            '9', 'Z', 'M', '6', '7', 'Y', 'R', 'T', '2', 'H', 'S', '8', 'D', 'V', 'E', 'J', '4', 'K',
            'Q', 'P', 'U', 'A', 'N', 'B'};

        private final static int CHARS_LENGTH = 32;
        /**
         * 邀请码长度

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.