Fly.io alternative for container apps and functions
Fly.io gives you fine-grained control over machines and regions—ideal for globally distributed and latency-critical services. Inquir focuses on one managed workspace: container apps from a Dockerfile or an image with private networking, volumes, Postgres and Redis templates, releases and rollback, plus functions, webhooks and scheduled pipelines next to them.
Last updated: 2026-06-28
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Direct answer
Fly.io alternative for container apps and functions. An Inquir container app is a Dockerfile built on the platform or an existing image, with digest-pinned releases behind your health check, rollback, named volumes, Postgres or Redis from a template and a private <slug>.apps.internal address. Ports, replicas, memory and CPU are release settings; there is no machine configuration to maintain.
When it fits
- A service that lives in one region next to its database, with functions and scheduled pipelines around it
- Teams that want a fixed plan price with resources listed up front rather than machine billing
Tradeoffs
- You need services close to users in many regions, fine control over machines, or networking features specific to Fly.io.
- Your team already automates Fly Machines and values that level of control.
Workload and what breaks
What to compare when you look past Fly.io
- How much machine, region and fly.toml configuration your services actually need
- How releases, health checks and rollback work for a service that lives in one region
- Where cron jobs and background work run: on extra machines and processes, or as functions and pipelines
- How billing behaves: Fly.io bills by machine usage, Inquir plans have a fixed price—check each provider’s current pricing
Fly.io is powerful when placement matters. For a service that lives in one region next to its database, compare how much of that control you use day to day.
Trade-offs
When Fly.io is the better fit
You need services close to users in many regions, fine control over machines, or networking features specific to Fly.io.
Your team already automates Fly Machines and values that level of control.
How Inquir helps
Container apps and functions in one workspace
An Inquir container app is a Dockerfile built on the platform or an existing image, with digest-pinned releases behind your health check, rollback, named volumes, Postgres or Redis from a template and a private <slug>.apps.internal address. Ports, replicas, memory and CPU are release settings; there is no machine configuration to maintain.
Functions, webhooks, durable jobs and pipelines with schedules live in the same workspace, so a cron job does not need a machine of its own and shares secrets, logs and history with the app.
What you get
Inquir vs Fly.io
Deploy model
Both: a Dockerfile or an image. Inquir: release settings in the CLI or console instead of a fly.toml; functions deploy from a handler and a dependency manifest.
Pipeline schedules
Inquir: cron triggers on pipelines with run history and step retries. Fly.io: scheduled machines or a process with its own scheduler—check its docs for current options.
Placement
Fly.io: many regions and fine-grained machine placement. Inquir: managed placement—see the docs for current availability.
Background jobs
Inquir: durable jobs and pipeline steps started from a handler, with retries and history. Fly.io: a worker process or machine that you run.
What to do next
How to try Inquir next to Fly.io
Deploy one service
Run inquir apps deploy with the same Dockerfile, set the port and health check from fly.toml, and promote the release.
Move the scheduled work
Turn a scheduled machine or a cron process into a pipeline with a schedule, and compare run history and retries.
Share the backing services
Keep database URLs and API keys in app and function environment variables; services on Fly.io and Inquir can use the same backing services while you compare.
Code example
Fly.io scheduled process → Inquir scheduled pipeline
On Fly.io a scheduled job runs on a machine you configure. On Inquir it is a pipeline step started by a cron trigger.
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 fetchUpdatedSince(since); await upsertBatch(records); return { synced: records.length, since }; }
When it fits
Choose Inquir over Fly.io for
When this works
- A service that lives in one region next to its database, with functions and scheduled pipelines around it
- Teams that want a fixed plan price with resources listed up front rather than machine billing
When to skip it
- Globally distributed or latency-critical services that need fine machine placement control—Fly.io is built for that
FAQ
FAQ
Can I bring my Fly.io Dockerfile?
Yes. inquir apps deploy builds the same Dockerfile on the platform, or you can release the image you already push. Carry the port, health check and volume over from fly.toml as release settings.
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.