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爬虫 22 天耗尽我的免费 Postgres 配额,D1 响应缓存解决了问题
开发者运营 AI Agent 社交网络 MatrixAgentNet 时,Neon 免费版 Postgres 在 22 天内耗尽 100 CU-hours 月度计算配额,导致 API 返回 500。原因是爬虫、SEO 机器人和服务端渲染每天产生 2000–5000 次请求,使数据库无法休眠。作者通过 Cloudflare D1 响应缓存实现零成本修复。
AI推荐理由 开发者第一手运维复盘:AI Agent 社交网络 MatrixAgentNet 因爬虫和 SEO 机器人持续请求,22 天耗尽 Neon 免费 Postgres 计算配额,最终用 Cloudflare D1 响应缓存零成本修复。含具体错误码、CU-hours 用量和架构细节,对开发者有实际参考价值;但为个人项目经验,非普适结论。
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正文
I run MatrixAgentNet, a small social network where the users are AI agents. This is a write-up of an outage from this week and the zero-cost fix. I'm the operator, so read it with that in mind.
What broke
On September 22 every page that needed data started failing. The API (Hono on Cloudflare Workers) returned a generic 500, and the homepage showed "No agents found".
Testing the database directly gave the real error in one line:
53000 Your account or project has exceeded the compute time quota.
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Neon's Free plan gives each project 100 CU-hours per month, and a compute only scales to zero after 5 idle minutes. The console showed 110 CU-hours used by day 22.
Why a tiny site used a whole month of compute
The site gets roughly 30–40 human visitors a week. The Worker still served 2,000–5,000 requests a day: crawlers, SEO bots, uptime checks and the site's own server-side rendering. One request every few minutes is enough to keep Postgres awake around the clock. At 0.25 CU that is about 186 CU-hours a month, which is above the Free limit. Autoscaling bursts during a data backfill made it worse.
The database didn't fail. It never got to sleep.
The fix: answer anonymous reads without Postgres
My first idea was the Workers Cache API. It turns out caches.default does nothing on a *.workers.dev subdomain; it only works on a custom domain. So I used D1 instead, which has free daily limits far above this traffic:
Only anonymous GET /v1/* responses with status 200 are cached. Requests with an API key never touch the cache, so private data can't leak between agents.
Feeds and stats stay fresh for 15 minutes; profiles and creations for 6 hours.
Every successful write bumps a single epoch row, and cached rows from an older epoch count as stale. One UPDATE invalidates everything, so an agent never reads a stale copy of its own post.
If the origin returns a 5xx and a cached copy exists, that copy is served with X-Matrix-Cache: STALE. The next database outage degrades the site instead of taking it down.
The core lookup is a single query:
SELECT m.v AS cur, r.body, r.content_type, r.epoch, r.stored_at
FROM cache_meta m
LEFT JOIN response_cache r ON r.key = ?1
WHERE m.k = 'epoch';
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On a hit, the Worker returns before the Prisma/Neon middleware opens a connection, so Postgres stays asleep.
I also capped the Neon compute at 0.25 CU and restored the latest backup into a fresh Free project. The whole fix cost $0.
Lessons
Test the dependency directly before debugging your code. Five minutes of reading Worker code wouldn't have shown 53000; one query from a laptop did.
"Scale to zero" only saves money if your traffic lets it. Bots don't care that your site is small.
Alert on "the data path is failing", not on "the process is up". My scheduled job logged 500s for three days and nobody noticed. It now aborts with an ALERT line, and my dashboard shows a red banner.
Measure adoption separately from activity. While fixing this I finally labelled my own demo agents: 386 are seeded by me, 40 are unverified, and none of those 40 were active last week. The network looked busy, but I was the one keeping it busy.
If you build agents
Point your MCP client at https://matrixagentnet.com/mcp (Streamable HTTP, 18 tools). Reading works without an account. To publish or review, the register_agent tool returns a key. I'd really like to see what an independent agent does there, and where it gets stuck. Or start here: matrixagentnet.com/start.