验证码管道半夜挂掉,值班工程师往往是被用户投诉叫醒的——这时候数据其实已经断了好几个小时。把 CaptchaAI 接入 PagerDuty 的 Events API,能在余额跌破阈值、错误率异常或 worker 集体掉线时直接触发寻呼,附带足够上下文,不用现翻日志。
国内团队常用钉钉、飞书机器人做值班通知,胜在轻量;PagerDuty 的优势是成熟的升级链路和电话、短信兜底——同一次 trigger() 可以同时推给两边。
警报规则怎么定:从余额到错误率
不是所有异常都值得半夜叫醒人:只有余额见底或 worker 全离线才走 critical 寻呼,其余先建事件,白天处理。
- 紧急,立即寻呼:余额 < $2;或全部 worker 离线。
- 较高,建紧急事件(不寻呼):错误率 > 20%,持续 5 分钟。
- 警告,建低优先级事件:余额 < $10;或队列深度 > 100,持续 10 分钟。
- 信息,追加到已有事件或写日志:识别耗时 p95 > 120s。
PagerDuty 配置清单(6 步接入)
- 在 PagerDuty 里为 "CaptchaAI Pipeline" 新建 Service。
- 给 Service 添加 Events API v2 集成。
- 把 routing key 复制到环境变量
PAGERDUTY_ROUTING_KEY。 - 制定升级策略(值班 → 组长 → 经理)。
- 配置通知方式(推送、短信、电话)。
- 加计划维护窗口,避免误报。
Python 示例:PagerDuty 事件 API v2
import os
import time
import hashlib
import requests
from datetime import datetime
API_KEY = os.environ["CAPTCHAAI_API_KEY"]
PAGERDUTY_ROUTING_KEY = os.environ["PAGERDUTY_ROUTING_KEY"]
session = requests.Session()
class CaptchaPagerDuty:
EVENTS_URL = "https://events.pagerduty.com/v2/enqueue"
def __init__(self, routing_key):
self.routing_key = routing_key
def trigger(self, summary, severity="error", source="captcha-pipeline",
details=None, dedup_key=None):
"""Trigger a new PagerDuty incident."""
payload = {
"routing_key": self.routing_key,
"event_action": "trigger",
"payload": {
"summary": summary,
"severity": severity, # critical, error, warning, info
"source": source,
"timestamp": datetime.utcnow().isoformat() + "Z",
"custom_details": details or {}
}
}
if dedup_key:
payload["dedup_key"] = dedup_key
resp = requests.post(self.EVENTS_URL, json=payload, timeout=10)
resp.raise_for_status()
return resp.json()
def resolve(self, dedup_key):
"""Resolve an existing incident."""
payload = {
"routing_key": self.routing_key,
"event_action": "resolve",
"dedup_key": dedup_key
}
resp = requests.post(self.EVENTS_URL, json=payload, timeout=10)
resp.raise_for_status()
return resp.json()
def acknowledge(self, dedup_key):
"""Acknowledge an existing incident."""
payload = {
"routing_key": self.routing_key,
"event_action": "acknowledge",
"dedup_key": dedup_key
}
resp = requests.post(self.EVENTS_URL, json=payload, timeout=10)
resp.raise_for_status()
return resp.json()
pagerduty = CaptchaPagerDuty(PAGERDUTY_ROUTING_KEY)
class CaptchaMonitor:
def __init__(self):
self.error_window = [] # (timestamp, is_error)
self.window_size = 300 # 5 minutes in seconds
def record_solve(self, success):
now = time.time()
self.error_window.append((now, not success))
# Prune old entries
self.error_window = [
(t, e) for t, e in self.error_window
if now - t < self.window_size
]
@property
def error_rate(self):
if not self.error_window:
return 0.0
errors = sum(1 for _, e in self.error_window if e)
return errors / len(self.error_window)
def check_balance(self):
resp = session.get("https://ocr.captchaai.com/res.php", params={
"key": API_KEY, "action": "getbalance", "json": 1
})
data = resp.json()
if data.get("status") != 1:
return None
return float(data["request"])
def run_checks(self):
"""Run all monitoring checks and trigger alerts."""
# Check balance
balance = self.check_balance()
if balance is not None:
if balance < 2:
pagerduty.trigger(
summary=f"CaptchaAI balance critically low: ${balance:.2f}",
severity="critical",
dedup_key="captcha-balance-critical",
details={"balance": balance, "threshold": 2}
)
elif balance < 10:
pagerduty.trigger(
summary=f"CaptchaAI balance low: ${balance:.2f}",
severity="warning",
dedup_key="captcha-balance-warning",
details={"balance": balance, "threshold": 10}
)
else:
# Resolve if balance recovered
try:
pagerduty.resolve("captcha-balance-critical")
pagerduty.resolve("captcha-balance-warning")
except Exception:
pass # No incident to resolve
# Check error rate
rate = self.error_rate
if rate > 0.20:
total = len(self.error_window)
errors = sum(1 for _, e in self.error_window if e)
pagerduty.trigger(
summary=f"CaptchaAI error rate {rate:.0%} "
f"({errors}/{total} in 5 min)",
severity="error",
dedup_key="captcha-error-rate-high",
details={
"error_rate": round(rate, 3),
"total_tasks": total,
"failed_tasks": errors,
"window_seconds": self.window_size
}
)
elif rate < 0.05 and len(self.error_window) > 10:
try:
pagerduty.resolve("captcha-error-rate-high")
except Exception:
pass
monitor = CaptchaMonitor()
# After each solve:
# monitor.record_solve(success=True)
# Run checks every 60 seconds:
# while True:
# monitor.run_checks()
# time.sleep(60)
国内机房访问
events.pagerduty.com一般没问题,但跨境线路偶尔会有额外延迟,代码里timeout=10秒是保守值,出口不稳定可以调大,避免误判成故障。
JavaScript 示例:PagerDuty 集成
const axios = require("axios");
const API_KEY = process.env.CAPTCHAAI_API_KEY;
const PD_ROUTING_KEY = process.env.PAGERDUTY_ROUTING_KEY;
const PD_EVENTS_URL = "https://events.pagerduty.com/v2/enqueue";
class PagerDutyAlerter {
constructor(routingKey) {
this.routingKey = routingKey;
}
async trigger(summary, severity = "error", details = {}, dedupKey = null) {
const payload = {
routing_key: this.routingKey,
event_action: "trigger",
payload: {
summary,
severity,
source: "captcha-pipeline",
timestamp: new Date().toISOString(),
custom_details: details,
},
};
if (dedupKey) payload.dedup_key = dedupKey;
const resp = await axios.post(PD_EVENTS_URL, payload, { timeout: 10000 });
return resp.data;
}
async resolve(dedupKey) {
await axios.post(PD_EVENTS_URL, {
routing_key: this.routingKey,
event_action: "resolve",
dedup_key: dedupKey,
}, { timeout: 10000 });
}
}
const alerter = new PagerDutyAlerter(PD_ROUTING_KEY);
class CaptchaHealthMonitor {
constructor(windowMs = 300000) {
this.results = [];
this.windowMs = windowMs;
}
record(success) {
this.results.push({ time: Date.now(), success });
const cutoff = Date.now() - this.windowMs;
this.results = this.results.filter((r) => r.time > cutoff);
}
get errorRate() {
if (this.results.length === 0) return 0;
const errors = this.results.filter((r) => !r.success).length;
return errors / this.results.length;
}
async checkAndAlert() {
// Balance check
try {
const resp = await axios.get("https://ocr.captchaai.com/res.php", {
params: { key: API_KEY, action: "getbalance", json: 1 },
});
if (resp.data.status === 1) {
const balance = parseFloat(resp.data.request);
if (balance < 2) {
await alerter.trigger(
`CaptchaAI balance critically low: $${balance.toFixed(2)}`,
"critical",
{ balance },
"captcha-balance-critical"
);
} else if (balance < 10) {
await alerter.trigger(
`CaptchaAI balance low: $${balance.toFixed(2)}`,
"warning",
{ balance },
"captcha-balance-warning"
);
} else {
await alerter.resolve("captcha-balance-critical").catch(() => {});
await alerter.resolve("captcha-balance-warning").catch(() => {});
}
}
} catch (err) {
console.error("Balance check failed:", err.message);
}
// Error rate check
const rate = this.errorRate;
if (rate > 0.2 && this.results.length > 10) {
await alerter.trigger(
`CaptchaAI error rate: ${(rate * 100).toFixed(1)}%`,
"error",
{ errorRate: rate, totalTasks: this.results.length },
"captcha-error-rate"
);
} else if (rate < 0.05 && this.results.length > 10) {
await alerter.resolve("captcha-error-rate").catch(() => {});
}
}
}
const monitor = new CaptchaHealthMonitor();
// Run checks every 60 seconds
setInterval(() => monitor.checkAndAlert(), 60000);
module.exports = { monitor, alerter };
常见故障排查
- 警报没触发:routing key 配错了——确认与该 Service 的 Events API 集成一致。
- 重复事件:没传
dedup_key——给每种警报类型固定一个值,别每次都变。 - 警报刷屏:PagerDuty 靠
dedup_key去重抑制重复,检查代码里是否漏传。 - 自动恢复没生效:确保 resolve 和 trigger 传的是完全相同的
dedup_key。
常见问题
怎么避免被警报炸到疲劳?
用 dedup_key 把同类警报归并成一个事件,warning 级别都设成低优先级、不寻呼人。只有余额 < $2 或 worker 全挂了才配 critical。
上线前怎么确认 PagerDuty 真的能收到事件?
本地手动跑一次 trigger(),去后台确认测试事件已出现,再用同一个 dedup_key 跑 resolve() 确认能关闭。建议先在 staging 走一遍完整流程再接生产。
余额告警和错误率告警,哪个优先级该更高?
余额耗尽是硬性阻断,之后请求全会失败,所以余额 < $2 直接走 critical;错误率升高通常只是部分任务失败,建高优先级事件即可,不必半夜叫人。
trigger、acknowledge 和 resolve 具体有什么区别?
trigger 创建新事件;acknowledge 停止后续通知,但事件仍打开;resolve 才彻底关闭事件。三者都靠同一个 dedup_key 关联,用错会导致重复事件或自动恢复失效。
延伸阅读
立即开始接入
验证码管道一出问题就想第一时间知道?申请一个 CaptchaAI API Key,接上本文的 PagerDuty 配置就能跑起来。
相关指南: