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---
title: Concurrency model
title: Concurrency Model
weight: 2
tags: ["concurrency", "pipeline", "state"]
---
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---
title: Data model
title: Data Model
description: How Vector understands data
weight: 1
tags: ["data model", "logs", "metrics", "events"]
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---
title: Log events
title: Log Events
weight: 1
tags: ["logs", "events", "schema"]
---
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---
title: Metric events
title: Metric Events
weight: 2
tags: ["metrics", "events", "schema"]
---
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---
title: Pipeline model
title: Pipeline Model
weight: 1
tags: ["pipeline", "dag", "graph", "configuration"]
---

{{< svg "img/pipeline-model.svg" >}}

Vector's pipeline model is based on a [directed acyclic graph][dag] of [components] that contains indepdendent subgraphs. [Events] must flow in a single direction from sources to sinks and can't create cycles. Each component in the graph can produce zero or more events.
Vector's pipeline model is based on a [directed acyclic graph][dag] of [components] that contains independent subgraphs. [Events] must flow in a single direction from sources to sinks and can't create cycles. Each component in the graph can produce zero or more events.

## Defining pipelines

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---
title: Adaptive request concurrency (ARC)
title: Adaptive Request Concurrency (ARC)
short: ARC
weight: 1
tags: ["arc", "request", "concurrency", "adaptive request concurrency", "performance", "http"]
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