Ship AI Agent Workflows to Production - orchestration, observability, cost

Ship AI Agent Workflows to Production - orchestration, observability, cost targets a $8.4B = 1.4M engineering teams x $6K ACV (global developer teams that could standardize on agent infra) total addressable market with medium saturation and a year-over-year growth rate of 35%+ driven by LLM adoption and automation spend.

Key trends driving demand: Agent adoption -- surveys cite many companies already running agents in production, creating a ready base of adopters; Function-calling and tool integrations -- LLM providers offer richer APIs, enabling safer external actions and shorter integration time; Vectorization and retrieval -- widespread use of vector DBs and embeddings increases demand for production pipelines and cost management; MLOps borrowing -- teams expect production-grade features like observability, CI/CD, and policy controls previously standard for ML models.