VectorFlow

Introduction

VectorFlow is a visual pipeline management platform for Vector, the high-performance observability data pipeline. It gives teams a web-based UI for designing, deploying, and monitoring Vector pipelines across an entire fleet of nodes -- no hand-edited TOML required.

VectorFlow Dashboard

Why VectorFlow?

Observability pipelines are critical infrastructure, yet managing them usually means juggling config files across dozens of servers. VectorFlow replaces that workflow with a centralized control plane:

  • Visual Pipeline Editor -- Drag-and-drop sources, transforms, and sinks onto a canvas. The editor generates valid Vector configuration automatically.
  • Fleet Management -- Enroll agents on every node and push pipeline updates from a single dashboard. See which agents are online, what they are running, and roll back instantly.
  • Multi-Environment Support -- Maintain separate development, staging, and production environments. Promote pipelines through your deployment lifecycle with confidence.
  • VRL Snippet Testing -- Write and test Vector Remap Language transforms interactively before they reach production.
  • Real-Time Metrics -- Monitor throughput, error rates, and pipeline health at a glance.
  • Alerting -- Define alert rules so you know the moment a pipeline degrades.

Technology

LayerTechnology
FrontendNext.js 16, React 19, TypeScript, Tailwind CSS
Flow EditorReact Flow (@xyflow/react)
Code EditorMonaco Editor with VRL syntax
APItRPC (type-safe RPC)
AuthenticationNextAuth (credentials + OIDC)
DatabasePostgreSQL, Prisma ORM
AgentGo (zero external dependencies)
Data EngineVector (vector.dev)

Get started in 5 minutes. Follow the Quick Start guide to spin up VectorFlow with Docker and build your first pipeline.

Getting StartedQuick Start -- Install and run VectorFlow
DeployServer -- Set up the VectorFlow server
Agents -- Enroll agents on your nodes
LearnPipeline Editor -- Build pipelines visually
Fleet Management -- Manage your agent fleet
OperateArchitecture -- Understand how it all fits together
Configuration -- Environment variables and settings
ReferenceAPI -- Full API documentation
Pipeline YAML -- Pipeline configuration format

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