Getting AI agents into production - orchestration, cost and observability

Getting AI agents into production - orchestration, cost and observability targets a $3.6B = 60,000 mid-market and enterprise engineering orgs x $60,000 ACV total addressable market with medium saturation and a year-over-year growth rate of 30-45% year over year adoption of production agent tooling within developer orgs.

Key trends driving demand: Agent frameworks adoption -- LangChain and similar frameworks standardize agent patterns and create repeatable production architectures.; FinOps for AI -- rising attention to LLM API spend forces demand for cost controls and per-workflow budgets.; Model ops and observability -- enterprises expect traceability, replay, and audit trails for automated decisions.; Serverless and event-driven infra -- cloud functions and lightweight runtimes make deploying multi-step agents feasible..