limiting connections by zone perip 503错误怎么解决

　　大清早客户说网站打不开出现503错误，昨晚就已经那样了，服务器运行正常，其他几个站点也正常，网站日志有很多报错 “limiting connections by zone "perip"”，一般503

理解 ASP.NET Core -限流（Rate Limiting）

else { throw new InvalidOperationException($"This endpoint requires a rate limiting else { throw new InvalidOperationException("This endpoint requested a rate limiting

Kubernetes 1.20.5 Sentinel之alibaba-sentinel-rate-limiting服务测试

Sentinel之alibaba-sentinel-rate-limiting服务测试 1.maven构建测试jar包 参照https://gitee.com/didispace/SpringCloud-Learning /tree/master/4-Finchley/alibaba-sentinel-rate-limiting [image.png] [image.png] 就修改了连接setinel dashboard 部署测试服务 cat alibaba-sentinel-rate-limiting.yaml apiVersion: apps/v1 kind: Deployment metadata: name: targetPort: 8001 selector: app: test 注意：服务就命名为test了 ...... kubectl apply -f alibaba-sentinel-rate-limiting.yaml 访问 alibaba-sentinel-rate-limiting服务，观察sentinel dashboard 访问alibaba-sentinel-rate-limiting服务，内部测试就不用ingress

rsyslogd关闭_系统驱动丢失无法开机

11:43:55 yw_lvs2_backup rsyslogd-2177: imuxsock begins to drop messages from pid 17131 due to rate-limiting May 20 11:44:05 yw_lvs2_backup rsyslogd-2177: imuxsock lost 328 messages from pid 17131 due to rate-limiting 12:11:41 yw_lvs2_backup rsyslogd-2177: imuxsock begins to drop messages from pid 20261 due to rate-limiting May 20 12:12:09 yw_lvs2_backup rsyslogd-2177: imuxsock lost 333 messages from pid 20261 due to rate-limiting 17:31:38 yw_lvs2_backup rsyslogd-2177: imuxsock begins to drop messages from pid 20261 due to rate-limiting

微服务网关Kong系列文章之七：流量控制

在服务上启用插件 $ curl -X POST http://kong:8001/services/{service}/plugins \ --data "name=request-size-limiting 、在路由上启用插件 $ curl -X POST http://kong:8001/routes/{route_id}/plugins \ --data "name=request-size-limiting 172.16.60.8:8001/routes/b0db420a-d3c3-45ee-8b25-11f3fd8ca283/plugins \ --data "name=request-size-limiting ": null, "enabled": true, "protocols": ["grpc", "grpcs", "http", "https"], "name": "request-size-limiting 10000" 2、在路由上启用插件 $ curl -X POST http://kong:8001/routes/{route_id}/plugins \ --data "name=rate-limiting

kong使用例子demo

-f kong-plugin-correlation-id-test.yaml 测试 curl -i -H "Host: example.com" $PROXY_IP/bar/sample rate-limiting plugin kubectl create -f kong-plugin-rate-limiting.yaml kubectl create -f kong-plugin-rate-limiting-test.txt X-Kong-Proxy-Latency: 4 Via: kong/1.1.2 里面多了RateLimit参数 参考 github脚本： kong request-id、kong rate-limiting

网关上的限流器

2. kong网关限流能力 kong 网关上有rate-limiting[5]插件，可以提供限流能力 功能性需求 非功能性需求 通过userid，ip，apikey 识别用户 低延时（<10ms） 基于配置的规则限制请求 系统接口： kong/plugins/rate-limiting/handler.lua/function RateLimitingHandler:access(conf) kong网关支持的上层设计 开源版本rate limit插件只支持standalone单机模式redis； 企业版rate-limiting-advanced[7]支持哨兵和redis-cluster模式。 : https://developer.konghq.com/plugins/rate-limiting/ [6] 限流插件: https://developer.konghq.com/plugins /rate-limiting/ [7] rate-limiting-advanced: https://developer.konghq.com/plugins/rate-limiting-advanced

微服务网关Kong系列文章之二：Kong安装

response-ratelimiting on database 'kong'... response-ratelimiting migrated up to: 000_base_response_rate_limiting 001_14_to_15 (executed) response-ratelimiting migrated up to: 002_15_to_10 (executed) migrating rate-limiting on database 'kong'... rate-limiting migrated up to: 000_base_rate_limiting (executed) rate-limiting migrated up to: 001_14_to_15 (executed) rate-limiting migrated up to: 002_15_to_10 (executed) rate-limiting

又肝了下微服务 API 网关“金刚”，也是蛮香的~

“友情提示：Kong 企业版提供了 [https://docs.konghq.com/hub/kong-inc/rate-limiting-advanced/](Rate Limiting Advanced 5.1 创建 Rate Limiting 插件 调用 Kong Admin API services/${service}/plugins，创建 Rate Limiting 插件的配置： $ curl --data "config.second=1" \ --data "config.limit_by=ip" name 参数，设置为 rate-limiting 表示使用 Rate Limiting Kong Rate Limiting 01 ? Kong Rate Limiting 02 “友情提示：Rate Limiting 插件还支持给 route、consumer 设置限流配置，胖友可以阅读《Kong 文档 —— Rate Limiting

Redis应用之限制访问频率

实现思路：key使用有"rate.limiting:IP",value使用数值，用户每次访问将value的值通过INCR命令自增1.如果自增后的值是1同时设置过期时间为1分钟。 代码逻辑: String key = "rage.limiting:"+ip; // 判断key是否存在 int flag = exists(key);// key rate.limiting:192.168.88.60 逻辑代码 String key = "rate.limiting:"+IP; int listLength = llen(key); if(listLength < 10){ lpush(key,new

研发：What is a DDoS Attack?

Mitigation attempts that involve dropping or limiting traffic indiscriminately may throw good traffic Rate Limiting Limiting the number of requests a server will accept over a certain time window is also While rate limiting is useful in slowing web scrapers from stealing content and for mitigating brute Nevertheless, rate limiting is a useful component in an effective DDoS mitigation strategy. Learn about Cloudflare's rate limiting Web Application Firewall A Web Application Firewall (WAF) is a

docker日志丢失问题分析

RateLimitInterval=, RateLimitBurst= Configures the rate limiting that is applied to all messages This rate limiting is applied per-service, so that two services which log do not interfere with To turn off any kind of rate limiting, set either value to 0. ... RateLimitIntervalSec=, RateLimitBurst= Configures the rate limiting that is applied to all messages To turn off any kind of rate limiting, set either value to 0.

🤔为什么分布式限流会出现不均衡的情况？

redis.clients.jedis.Jedis; import redis.clients.jedis.Pipeline; import redis.clients.jedis.Response; /** *

* Limiting userId User id * @param actionKey Behavior key * @param period Current Limiting pipe.exec(); pipe.close(); return count.get() <= maxCount; } /** * Current limiting References [1] 在计算机网络中，限流就是用于控制网络接口控制器发送或接收请求的速率: https://en.wikipedia.org/wiki/Rate_limiting [2] 示例代码 : https://programmer.group/redis-zset-for-sliding-window-current-limiting.html

流量调整和限流技术

在早期的计算机领域，限流技术(time limiting)被用作控制网络接口收发通信数据的速率。 可以用来优化性能，减少延迟和提高带宽等。 大部分人都知道应该增加 Rate limiting，做请求频率限制。从安全角度，这个可能也是大部分能想到，但不一定去做的薄弱环节。 还有，公开 API 接口服务，Rate limiting 应该是一个必备的功能，否则公开的接口不知道哪一天就会被服务调用方有意无意的打垮。 这就要求在应用层实现 Rate limiting 限制。 常见的 Rate limiting 的实现方式 Proxy 层的实现，针对部分 URL 或者 API 接口进行访问频率限制 Nginx 模块 limit_req_zone $binary_remote_addr

微服务系列：通过Kong网关给API限流

在Kong网关中，限流功能是通过配置rate-limiting插件来实现的。当客户端请求API时，Kong网关会检查已配置的限流规则。根据这些规则，如果请求速率超过限制，请求将被阻止或拒绝。3. 开启下面指令开启了单client IP维度所有请求的限流，现在每分钟5次请求，超过就限制curl -i -X POST http://localhost:8001/plugins \ --data name=rate-limiting data": [ { "enabled": true, "service": null, "consumer": null, "name": "rate-limiting example_service添加限流curl -X POST http://localhost:8001/services/example_service/plugins \ --data "name=rate-limiting

内存管理相关数据结构之pg_data_t

enum zone_type classzone_idx; #ifdef CONFIG_NUMA_BALANCING /* Lock serializing the migrate rate limiting window */ spinlock_t numabalancing_migrate_lock; /* Rate limiting time interval */ unsigned long numabalancing_migrate_next_window; /* Number of pages migrated during the rate limiting time

ubuntu ssh configue Google Authenticator

computer that you are logging into isn't hardened against brute-force login attempts, you can enable rate-limiting Do you want to enable rate-limiting (y/n) y 至此， Google Authenticator 的安装已经完成。

Kong AI Gateway 正式 GA

通过启用新的“ai-rate-limiting-advanced” 插件，客户可以更好地管理组织中不同团队的 token 消耗水平，从而更好地控制整体 AI 开销。 而新版“ai-rate-limiting-advanced” 插件则专注于所请求 AI token 的数量，并不考虑发送给它们原始 HTTP 请求的数量。 如果客户希望同时对原始请求和特定 AI Token 进行速率限制，则“ai-rate-limiting-advanced” 插件可以与标准 Kong 速率限制插件结合使用。 ai-rate-limiting-advanced 插件是目前市面上唯一可以用于 AI 的速率限制插件。

使用Sentinel进行服务调用的熔断和限流管理（SpringCloud2023实战）

response.text)输出文档如下：Hello, 0helloHello, 1helloHello, 2helloHello, 3helloHello, 4helloBlocked by Sentinel (flow limiting )Blocked by Sentinel (flow limiting)Blocked by Sentinel (flow limiting)Blocked by Sentinel (flow limiting )Blocked by Sentinel (flow limiting)Sentinel集成之OpenFeignpom.xml和配置修改Feign 适配整合在 Spring Cloud Alibaba

流量回放工具之GoReplay input_file 源码分析

"strconv" "strings" "time" ) // Limiter is a wrapper for input or output plugin which adds rate limiting constructor for Limiter, accepts plugin and options // `options` allow to sprcify relatve or absolute limiting options) l.plugin = plugin l.currentTime = time.Now().UnixNano() // FileInput have its own rate limiting l.limit) / float64(100) } return l } func (l *Limiter) isLimited() bool { // File input have its own limiting l.isLimited() { return nil, nil } return } func (l *Limiter) String() string { return fmt.Sprintf("Limiting