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Inquir vs Fly.io

Fly.io alternative for serverless functions without VM management

Fly.io gives you fine-grained control over distributed VM placement—ideal for stateful apps and globally distributed services. Inquir is optimized for event-driven serverless: HTTP functions, cron jobs, webhooks, and background pipelines that scale to zero without machine configuration or region management.

Last updated: 2026-04-20

Direct answer

Fly.io alternative for serverless functions without VM management. Inquir functions are invoked on demand with no machine to configure. Write a handler function, declare dependencies in package.json or requirements.txt, and get a gateway endpoint. No Dockerfile, no fly.toml, no region selection required for the common case.

When it fits

  • Event-driven HTTP APIs, webhooks, cron jobs, and background pipelines
  • Teams that want serverless billing (pay per invocation) rather than per-machine billing

Tradeoffs

  • Fly does not have a native Lambda-style function primitive. Every handler needs a Dockerfile, a fly.toml, and a process running inside a machine. Scale-to-zero requires manual stop/start orchestration via the Machines API.
  • Without a managed cron trigger, scheduling on Fly means running a dedicated process (a cron container) that watches a schedule—a persistent VM billing even when no jobs are running.

When Fly.io machine management is more than you need

  • Deploying a simple HTTP function or cron job requires a Dockerfile and Fly machine configuration
  • Fly Machines do not scale to zero by default—idle machines still consume resources
  • Background jobs need a separate Fly app acting as a worker, with its own flyctl deploy lifecycle
  • Cron requires either an always-on process watching a schedule or Fly`s Machines API with manual orchestration

Fly.io is powerful for distributed stateful applications and globally replicated services. For event-driven workloads—API handlers, cron jobs, webhook processors—the machine model adds configuration overhead that serverless functions eliminate.

Why serverless functions on Fly.io require extra configuration

Fly does not have a native Lambda-style function primitive. Every handler needs a Dockerfile, a fly.toml, and a process running inside a machine. Scale-to-zero requires manual stop/start orchestration via the Machines API.

Without a managed cron trigger, scheduling on Fly means running a dedicated process (a cron container) that watches a schedule—a persistent VM billing even when no jobs are running.

Lambda-style functions without machine management

Inquir functions are invoked on demand with no machine to configure. Write a handler function, declare dependencies in package.json or requirements.txt, and get a gateway endpoint. No Dockerfile, no fly.toml, no region selection required for the common case.

Cron triggers, pipeline steps, and gateway routing are first-class primitives—not workarounds built on top of machine orchestration.

Inquir vs Fly.io

Deploy model

Inquir: deploy a handler function with a dependency manifest. Fly.io: deploy a Dockerfile with a fly.toml and machine configuration.

Cron

Inquir: first-class cron pipeline triggers with run history. Fly.io: requires a persistent process or manual Machines API orchestration.

Scaling

Inquir: scales to zero between invocations by default. Fly.io: machines require explicit stop configuration for scale-to-zero.

Background jobs

Inquir: pipeline steps triggered from HTTP handlers. Fly.io: requires a separate Fly app acting as a worker.

When to use Inquir alongside or instead of Fly.io

1

Keep Fly.io for stateful distributed apps

WebSocket servers, globally replicated databases, and latency-sensitive stateful services are well-suited for Fly Machines.

2

Move event-driven functions to Inquir

HTTP API handlers, cron jobs, webhooks, and background pipelines scale better and cost less as serverless functions.

3

Connect via shared secrets

Store database URLs and API keys as Inquir workspace secrets. Fly apps and Inquir functions can share the same backing services.

Fly.io scheduled process → Inquir cron pipeline

Fly runs a persistent container watching a cron schedule. Inquir replaces it with a pipeline cron trigger—no always-on process.

jobs/daily-sync.mjs
export async function handler(event) {
  // Fired by a cronTrigger node in a scheduled graph pipeline
  const since = process.env.SYNC_CURSOR ?? new Date(Date.now() - 86_400_000).toISOString();
  const records = await source.fetchUpdatedSince(since);
  await destination.upsertBatch(records);
  return { synced: records.length };
}

Choose Inquir over Fly.io for

When this works

  • Event-driven HTTP APIs, webhooks, cron jobs, and background pipelines
  • Teams that want serverless billing (pay per invocation) rather than per-machine billing

When to skip it

  • Globally distributed stateful apps, WebSocket servers, and latency-critical services that need machine placement control—Fly.io is purpose-built for that

FAQ

Can I use Fly.io for my database and Inquir for functions?

Yes—Fly Postgres is a popular choice for managed Postgres. Inquir functions connect via the database URL stored as a workspace secret.

Does Inquir support custom regions?

See the docs for current region availability. For most backend API and cron workloads, a single region close to your database is the right starting point.

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