PAY PER EXECUTION
No idle server to pay for. You're billed only for the compute time your functions actually use, down to the millisecond.
Deploy functions triggered by HTTP requests, scheduled jobs, or storage events. Pay only for what you use, with no idle server sitting around waiting for traffic.
Every plan includes HTTP endpoints and scheduled triggers, with generous included invocations before you pay a cent more.
| Serverless Functions | Starter | Professional | Enterprise |
|---|---|---|---|
| Included invocations / month | 1,000,000 | 10,000,000 | Unlimited |
| Max execution time | 10s | 60s | 900s |
| Memory per function | 256 MB | 1 GB | 3 GB |
| Concurrent executions | 100 | 1,000 | Unlimited |
| Scheduled (cron) triggers | ✓ | ✓ | ✓ |
| HTTP endpoints | ✓ | ✓ | ✓ |
| Storage event triggers | × | ✓ | ✓ |
| Custom domains | × | ✓ | ✓ |
| Priority compute | × | × | ✓ |
| $7.00/moOrder Now | $25.00/moOrder Now | $89.00/moOrder Now |
No idle server to pay for. You're billed only for the compute time your functions actually use, down to the millisecond.
Functions run at the edge with minimal cold-start latency, so even infrequently called endpoints stay fast.
Write functions in Node.js, Python, or Go, and trigger them from HTTP requests, scheduled cron jobs, or storage events.
Every invocation is logged with request details, execution time, and errors, viewable in real time from your dashboard.
Node.js, Python, and Go are supported out of the box, with community runtimes available for others. Each function is packaged with its own dependencies.
You're billed per invocation and per GB-second of compute used, with a monthly included allowance on every plan. There's no charge for idle time since there's no server sitting idle.
Yes. Functions can connect to your managed database or object storage bucket the same way any other application would, using standard connection strings and credentials.
HTTP requests, scheduled cron jobs, and (on Professional and Enterprise plans) storage events like a new file landing in a bucket.

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