concept

Managed service

A managed service is a cloud-hosted offering where the provider runs the infrastructure — Supabase, Pinecone, n8n Cloud, Anthropic API — and the user pays for usage rather than operating the underlying systems.

Managed services dominate AI stack adoption in 2026 because the alternative — self-hosting Postgres, vector databases, LLM inference, agent orchestration — burns engineering time most teams would rather spend on product. Trade-offs: managed services lock you in (data migration is real work), cost climbs at scale, and some features lag the self-host equivalent. For most early-stage products and teams without dedicated infrastructure engineers, managed services win on TCO. For scale-heavy production and regulated industries, self-host increasingly competes.

When to use managed service

Common mistakes

FAQ

What is managed service?

A managed service is a cloud-hosted offering where the provider runs the infrastructure — Supabase, Pinecone, n8n Cloud, Anthropic API — and the user pays for usage rather than operating the underlying systems.

When should I use managed service?

Early-stage products without dedicated infra engineers. Cost-tolerant scale where managed wins on engineering time.

What are the most common mistakes with managed service?

Locking in deeply before understanding migration cost. Choosing managed for compliance-heavy work where data residency matters.

Last updated: 2026-06-01. Raw markdown: https://promtable.com/glossary/managed-service.md.