| layout | default |
|---|---|
| title | Chapter 8: Production Operations |
| nav_order | 8 |
| parent | Langflow Tutorial |
Welcome to Chapter 8: Production Operations. In this part of Langflow Tutorial: Visual AI Agent and Workflow Platform, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
This chapter turns Langflow from a builder experience into a production platform practice.
- release and rollback workflow for flows
- migration-safe data/config changes
- quota and concurrency controls
- incident runbooks for model/tool outages
| Area | Metrics |
|---|---|
| quality | successful flow runs, fallback frequency |
| latency | p50/p95 end-to-end runtime |
| reliability | timeout and retry rate |
| cost | model/tool spend per successful request |
You now have an operational baseline for running Langflow at production scale.
flowchart TD
A[Langflow in production] --> B[Docker / K8s deployment]
B --> C[PostgreSQL for flow storage]
C --> D[Horizontal scaling]
D --> E[Load balancer]
E --> F[Health endpoint /health]
F --> G{Healthy?}
G -->|Yes| H[Serve API traffic]
G -->|No| I[Restart pod / container]