Vector

aid: vector
name: Vector
description: Vector is an open source high-performance observability data pipeline from Datadog for collecting, transforming,
  and routing logs, metrics, and traces. Built in Rust for performance and reliability, Vector supports 50+ sources, 20+ transforms,
  and 80+ sinks. It provides a built-in API for health monitoring and component inspection, plus Vector Remap Language (VRL)
  for powerful data transformation.
type: Index
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/vector.png
tags:
- Data Pipeline
- Logs
- Metrics
- Observability
- Open Source
- Rust
- Traces
url: https://raw.githubusercontent.com/api-evangelist/vector/refs/heads/main/apis.yml
created: '2026-03-25'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
- aid: vector:vector-vrl
  name: Vector Remap Language (VRL)
  description: Vector Remap Language (VRL) is a purpose-built expression language for transforming observability data in Vector.
    Provides 100+ built-in functions for parsing, filtering, enriching, and transforming logs, metrics, and traces without
    leaving the Vector pipeline.
  humanURL: https://vector.dev/docs/reference/vrl/
  tags:
  - Data Transformation
  - Expression Language
  - VRL
  properties:
  - type: Documentation
    url: https://vector.dev/docs/reference/vrl/
  - type: GitHubRepository
    url: https://github.com/vectordotdev/vrl
- aid: vector:vector-helm
  name: Vector Helm Charts
  description: Official Helm charts for deploying Vector on Kubernetes as a DaemonSet (agent mode) or Deployment (aggregator
    mode).
  humanURL: https://vector.dev/docs/setup/installation/package-managers/helm/
  tags:
  - Helm
  - Kubernetes
  - Deployment
  properties:
  - type: Documentation
    url: https://vector.dev/docs/setup/installation/package-managers/helm/
  - type: GitHubRepository
    url: https://github.com/vectordotdev/helm-charts
- aid: vector:vector-health-api
  name: Vector Health API
  description: Health check endpoints for load balancers and Kubernetes probes.
  humanURL: https://vector.dev/docs/reference/api/
  baseURL: http://127.0.0.1:8686
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/vector-health-api-openapi.yml
  - type: Documentation
    url: https://vector.dev/docs/reference/api/
  - type: JSONSchema
    url: json-schema/vector-observability-api-health-response-schema.json
  - type: JSONStructure
    url: json-structure/vector-observability-api-health-response-structure.json
  - type: Examples
    url: examples/vector-observability-api-health-response-example.json
  - type: JSONLD
    url: json-ld/vector-observability-api-context.jsonld
common:
- type: AgenticAccess
  url: agentic-access/vector-agentic-access.yml
- type: DomainSecurity
  url: security/vector-domain-security.yml
- type: Website
  url: https://vector.dev
- type: Documentation
  url: https://vector.dev/docs/
- type: GitHubOrganization
  url: https://github.com/vectordotdev
- type: GitHubRepository
  url: https://github.com/vectordotdev/vector
- type: ReleaseNotes
  url: https://vector.dev/releases/
- type: Blog
  url: https://vector.dev/blog/
- type: Forums
  url: https://discord.com/invite/n2yjjZR
- type: StackOverflow
  url: https://stackoverflow.com/questions/tagged/vector-dev
- type: SpectralRules
  url: rules/vector-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/vector-vocabulary.yaml
- type: Features
  data:
  - name: High-Performance Pipeline
    description: Built in Rust with benchmarks showing 86+ MiB/s throughput for log pipeline workloads.
  - name: Unified Data Plane
    description: Single binary handles logs, metrics, and traces from collection through routing.
  - name: 50+ Sources
    description: Native integrations for files, Kafka, Kubernetes, AWS S3/CloudWatch, Splunk, and more.
  - name: 80+ Sinks
    description: Route data to Elasticsearch, Datadog, S3, BigQuery, Splunk, Loki, and many more destinations.
  - name: Vector Remap Language (VRL)
    description: Purpose-built expression language with 100+ functions for transforming observability data.
  - name: Observability API
    description: Built-in HTTP/gRPC API for health checks and component inspection (must be explicitly enabled).
  - name: Kubernetes Native
    description: Deploy as DaemonSet (agent) or Deployment (aggregator) with official Helm charts.
  - name: Agent and Aggregator Modes
    description: Run as a lightweight agent on each node or as a centralized aggregator for fan-in routing.
- type: UseCases
  data:
  - name: Log Pipeline Unification
    description: Replace multiple log shippers with a single Vector pipeline for all log collection and routing.
  - name: Observability Cost Reduction
    description: Filter, sample, and transform data before sending to expensive SaaS observability platforms.
  - name: Vendor Switching
    description: Route observability data to multiple backends simultaneously to facilitate migration.
  - name: Kubernetes Log Collection
    description: Deploy Vector as a DaemonSet to collect container logs from all Kubernetes nodes.
  - name: Log Enrichment
    description: Parse, enrich, and normalize log events using VRL before routing to downstream systems.
  - name: Metrics Collection
    description: Collect host and service metrics using Vector's built-in sources and forward to Prometheus or DataDog.
  - name: Splunk Cost Reduction
    description: Use Vector to filter and route Splunk data to reduce indexing volume and licensing costs.
- type: Integrations
  data:
  - name: Datadog
    description: Native Datadog logs and metrics sink; Vector was created and is maintained by Datadog.
  - name: Elasticsearch
    description: Elasticsearch sink for forwarding logs and metrics to Elasticsearch clusters.
  - name: Splunk HEC
    description: Splunk HTTP Event Collector sink for sending data to Splunk Enterprise and Cloud.
  - name: Kafka
    description: Kafka source and sink for consuming and producing observability data streams.
  - name: AWS S3
    description: S3 sink for archiving logs and metrics to Amazon S3 for long-term storage.
  - name: Grafana Loki
    description: Loki sink for forwarding logs to Grafana's log aggregation system.
  - name: Prometheus
    description: Prometheus remote write sink and scrape source for metrics pipelines.
  - name: Kubernetes
    description: Kubernetes source for collecting container logs, pod metadata, and events.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com