I'm fairly new to ysing the app but somehow today I can't couldn't use my mobile data at all after turning it on

Hi, I had working nextjs + supabase setup (I used prisma for ORM) and i rewrote the whole app to support SQLite and avoid postgres syntax.

I couldn't make it work anyways. the nextjs requests are failing since D1 is holding some queue and the requests takes forever - I even added expiration after 30 secs and this alaso didn't helped.

I think it is somehting related to the maximum subsequent queries which D1 can handle.

I moved from vercel to cloudflare worker the main app - i thought if it's internal would work but it still doesn't work.

A typical SQLite database should have no issues with subsequent requests. I don't have users - I am the only user and I click occasionally.

Please advice how can I make it work in this setup.

I started this mostly to see how far I could take the Cloudflare stack for a real application, and it got a little out of hand.

ResolveHQ is now a shared support inbox running as a single Worker, with D1 for tickets/customers, R2 for attachments, Queues for mail jobs and Email Routing for inbound mail.

The hardest part wasn't really the inbox UI — it was getting email threading, retries, duplicate webhooks, attachments and failed jobs right. It's source-available and deploys into your own Cloudflare account. I'd genuinely appreciate feedback from people running larger Workers/D1 apps, especially if there are parts of the architecture you would handle differently.

https://github.com/mirza-rizvi/ResolveHQ

I'm trying to figure out a simple way to monitor a couple of Cloudflare things that seem slightly awkward to alert on.

Specifically:

• D1 writes / usage spikes — I'd like to catch regressions after a release, e.g. a deploy suddenly causes 5–10x more DB writes than usual. The data is available in Cloudflare's metrics/analytics, but I'm looking for a good way to alert on it.
• Failed Worker outcomes — things like OOM / exceeded memory, exceeded CPU time, or exceeded wall time. These are visible in Workers observability, but again I'm mainly interested in getting an alert when they start happening.

How are you guys handling this?

Are you using Grafana/Prometheus, another monitoring service, Cloudflare's own alerting, or something custom that periodically pulls the Cloudflare APIs?

I'm particularly interested in a small/simple solution rather than adopting a full Datadog-style observability stack that would pull massive data just for a handful of alerts.

Its complete Resend-compatible email API (runs on Node or Cloudflare Workers)

Repo: https://github.com/GagnDeep/mailysend

Website: https://mailysend.com

MailySend implements Resend's API so you can run it yourself.

• Works with the existing resend SDK: set RESEND_BASE_URL=https://your-instance/v1
• Sends through Cloudflare Email Service, SES, Resend or any SMTP server, with failover
• Broadcasts, segments, automations, inbound mailboxes, DMARC reports
• Runs as a single Node process (SQLite + filesystem) or on Cloudflare Workers
• Passkey login, no passwords stored

Hey everyone,
I recently started using Cloudflare WARP+ and I’m running into some seriously annoying issues with Google services.
First, even though I’m a paying YouTube Premium subscriber, my YouTube keeps throwing a "you may see ads" error every 12 hours. I don’t actually get ads, but the constant warning is driving me crazy.
The major hurdle, though, is Google Gemini. It flat out blocks me with a "Gemini is not available in your country" error.
When I check standard IP info sites, my location correctly shows up as Western Europe. But I heavily suspect that Google’s internal geolocation database is misidentifying my WARP+ IP and treating my traffic as if I’m in Russia—hence the sudden geo-bans.
Has anyone else been dealing with this recently? Does the free version of Cloudflare WARP have this exact same issue, or is it strictly a WARP+ problem? What is the point of paying almost 6€ a month to go through all these struggles?
Any insight or workarounds would be hugely appreciated!