Fly.io vs Temporal

Pick two tools from the same category to compare side-by-side.

	Fly.io Container hosting near users; common for stateful agent backends.	Temporal Durable-execution runtime that persists workflow state and automatically retries failures, used to run long-running agent workflows reliably.
Category	deployment	deployment
Vendor type	commercial	hybrid
Pricing	usage	freemium
Strengths	+ Run real containers, not just functions + Global region placement + Persistent volumes	+ Workflow state persists across crashes and deploys, suiting long-running agent loops + Automatic retries and timeouts for failed activities such as LLM and tool calls + MIT-licensed open-source server with multiple language SDKs + Managed Temporal Cloud option avoids self-hosting the cluster
Tradeoffs	− More ops overhead than serverless	− Self-hosting the server cluster and its datastore is operationally heavy − Deterministic workflow constraints impose a real learning curve on developers − Heavier abstraction than simple job queues for short-lived tasks
Used in stacks	6	0