Fly.io vs Inngest

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

	Fly.io Container hosting near users; common for stateful agent backends.	Inngest Durable functions and event-driven queueing platform for agent backends, with the AgentKit framework for building AI agents.
Category	deployment	deployment
Vendor type	commercial	hybrid
Pricing	usage	freemium
Strengths	+ Run real containers, not just functions + Global region placement + Persistent volumes	+ Step-level retries and durable state without managing workers or queues + Flow control (throttling, per-tenant concurrency, rate limits) as code, useful for LLM rate limits + Runs on existing serverless or server infrastructure rather than dedicated workers + AgentKit framework targets pausable, resumable AI agent workflows
Tradeoffs	− More ops overhead than serverless	− Execution orchestration depends on the Inngest service or self-run server, adding a platform dependency − Less low-level control than operating your own queueing or workflow cluster
Used in stacks	6	0