Fly Machines
fly.ioplatformmanaged
Fly Machines is a managed platform in the Workflow Orchestration layer of the AI stack. Hosting for stateful containers that fits durable agent workers.
By Lattice editorial · Facts verified · method
- licence
- proprietary
- cost
- usage-based
- owned by
- ML PlatformAI Infrastructure
Verified 2026-09build refuses it from 2027-04
Use Fly Machines when
Hosting stateful containers that fits durable agent workers.
Skip Fly Machines when
You want to own the infrastructure layer.
Survives the retries, the waits and the crashes. — that is what this layer of the stack is answerable for. See the full Workflow Orchestration section for the rest of the options.
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[](https://lattice.kunjshah.in/workflow-orchestration/fly-machines)Quick answers
- Is Fly Machines open source?
- No. Fly Machines is proprietary. It is paid for by usage.
- What are the alternatives to Fly Machines?
- The closest alternatives to Fly Machines are Modal and Trigger.dev.
Reading on workflows
Alternatives to Fly Machines
Listed as an alternative to
- ModalModalServerless GPU and container platform popular for batch inference.Use when Serverless GPUs and containers for batch inference and scheduled jobs.Skip when Data locality rules forbid ephemeral compute.proprietary · saas · usage-based
Also in workflows
- TemporalTemporalDurable execution engine that survives crashes and long waits.Use when Work spanning minutes or hours that must survive restarts and retries.Skip when You need it live in a day — the adoption cost is real.MIT · self-hosted · free
- InngestInngestEvent-driven step functions with durable replay for TypeScript.Use when Durable step functions in TypeScript, without running the engine.Skip when You are not working in TypeScript.Apache-2.0 · saas · free-tier
- Trigger.devTrigger.devBackground jobs and AI workflows with long-running task support.Use when Long-running background jobs that must survive a deploy.Skip when You need more than TypeScript.Apache-2.0 · saas · free-tier
- DagsterDagsterAsset-oriented orchestration for data and ML pipelines.Use when Data and ML pipelines framed as assets with explicit dependencies.Skip when You want a task queue rather than a lineage-aware orchestrator.Apache-2.0 · self-hosted · free
- PrefectPrefectPython-native workflow orchestration with a managed cloud option.Use when Python-native flows with a managed cloud option behind them.Skip when You need deep lineage modelling.Apache-2.0 · self-hosted · free-tier
- Apache AirflowApache AirflowScheduler and DAG engine long used for batch data engineering.Use when Scheduled batch data engineering, where DAGs are the shared language.Skip when You are building a latency-sensitive product — it was not designed for one.Apache-2.0 · self-hosted · free
- RestateRestateDurable execution with a low-latency stateful API surface.Use when Durable execution with a genuinely low-latency stateful API surface.Skip when You need the largest ecosystem around the engine.BSL-1.1 · self-hosted · free
- DBOSDBOSDurable workflows as ordinary Python functions and decorators.Use when Durable workflows as ordinary Python functions and decorators.Skip when You want a separate service to operate.Apache-2.0 · self-hosted · free
- ModalModalServerless GPU and container platform popular for batch inference.Use when Serverless GPUs and containers for batch inference and scheduled jobs.Skip when Data locality rules forbid ephemeral compute.proprietary · saas · usage-based