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We aimed for 1 million queries per second on sharded Postgres. Five shards got us there. Then we kept going: 512 shards, 1.22 PiB, 118.5 million QPS.

awesome! cool to see the lineage there

i must ask, where'd you get the idea for this chart style?

We're hosting a happy hour with @iroh_n0 and @workos in NYC! We'll have food, drinks, tables to hack and demo, but no talks. This is after work and a chance to connect with the community. Link to RSVP in the thread 👇️

Ling 3.1 Flash (free model) just got an update.

We're increasing limits to 300 requests per day.

That means more tokens to build for free.

You can now run a zero downtime MySQL import straight from the CLI.

Coming from RDS, Aurora, or Cloud SQL? Run the whole migration from your terminal or hand it off to your agent to do for you.

The edge node picks a compute node with rendezvous hashing, so a function lands on the same node every time. Its MicroVM stays warm and its code stays cached. When one site takes a big share of a region's traffic, we spread it across a slice of nodes.

When a route matches, the edge node writes a spec for the machine that will run the function. It names the runtime, our platform image, and the function image. It also sets CPU, memory, and connection limits.

The request lands on the Netlify edge node closest to the client. The node terminates TLS and checks the path against the deploy's Edge Functions routes. Anything without a matching route goes on to the cache and origin as usual.

A warm request to a Netlify Edge Function now spends about 6ms on our side before the response heads back out. It passes through an edge node, a compute node, and a Firecracker MicroVM without leaving our network.

Nothing is as fast as not doing anything.

How we build Neki around that idea:

Now in the ChatGPT plugin store → https://chatgpt.com/plugins/plugin_asdk_app_6ab242dbeb5c8191ba5277534ef0c570?open_in_app