GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • .st0{fill:#fff}
  • Docs
  • Guides
  • Components
  • Download
  • Blog
  • Support
  • Observability Pipelines
  • X 𝕏
  • GitHub
  • Chat
  • RSS

This view

  • Original page
  • New address

GeezerVison is showing vector.dev — Vector

New Vector version 0.61.0

A lightweight, ultra-fast tool for building observability pipelines

Quickstart
Vector Remap Language
Components

Take control of your observability data

Collect, transform, and route all your logs and metrics with one simple tool.


Why Vector?

Ultra fast and reliable
Built in Rust, Vector is blistering fast, memory efficient, and designed to handle the most demanding workloads.
End to end
Vector strives to be the only tool you need to get observability data from A to B, deploying as a daemon, sidecar, or aggregator.
Unified
Vector supports logs and metrics, making it easy to collect and process all your observability data.
Vendor neutral
Vector doesn’t favor any specific vendor platforms and fosters a fair, open ecosystem with your best interests in mind. Lock-in free and future proof.
Programmable transforms
Vector’s highly configurable transforms give you the full power of programmable runtimes. Handle complex use cases without limitation.
Clear guarantees
Guarantees matter, and Vector is clear on which guarantees it provides, helping you make the appropriate trade-offs for your use case.

A complete, end-to-end platform.

Deploy Vector in a variety of roles to suit your use case.
Get data from point A to point B without patching tools together.

Learn more about the distributed deployment topology for Vector

Learn more about the centralized deployment topology for Vector

Learn more about the stream-based deployment topology for Vector


Easy to configure

A simple, composable format enables you to build flexible pipelines

/etc/vector/vector.yaml
sources:
	datadog_agent:
		type: "datadog_agent"
		address: "0.0.0.0:80"

transforms:
	remove_sensitive_user_info:
		type: "remap"
		inputs: ["datadog_agent"]
		source: |
			redact(., filters: ["us_social_security_number"])

sinks:
	datadog_backend:
		type: "datadog_logs"
		inputs: ["remove_sensitive_user_info"]
		default_api_key: "${DATADOG_API_KEY}"
sources:
	kafka_in:
		type: "kafka"
		bootstrap_servers: "10.14.22.123:9092,10.14.23.332:9092"
		group_id: "vector-logs"
		key_field: "message"
		topics: ["logs-*"]

transforms:
	json_parse:
		type: "remap"
		inputs: ["kafka_in"]
		source: |
			parsed, err = parse_json(.message)
			if err != null {
				log(err, level: "error")
			}
			. |= object(parsed) ?? {}

sinks:
	elasticsearch_out:
		type: "elasticsearch"
		inputs: ["json_parse"]
		endpoint: "http://10.24.32.122:9000"
		index: "logs-via-kafka"
sources:
	k8s_in:
		type: "kubernetes_logs"

sinks:
	aws_s3_out:
		type: "aws_s3"
		inputs: ["k8s_in"]
		bucket: "k8s-logs"
		region: "us-east-1"
		compression: "gzip"
		encoding:
			codec: "json"
sources:
	splunk_hec_in:
		type: "splunk_hec"
		address: "0.0.0.0:8080"
		token: "${SPLUNK_HEC_TOKEN}"

sinks:
	datadog_out:
		type: "datadog_logs"
		inputs: ["splunk_hec_in"]
		default_api_key: "${DATADOG_API_KEY}"
Configuration examples are in YAML but Vector also supports TOML and JSON

Installs everywhere

Packaged as a single binary. No dependencies, no runtime, and memory safe.

Single binary
X86_64, ARM64/v7
No runtime
Memory safe

Install with a one-liner:

  • For humans
  • For machines
curl --proto '=https' --tlsv1.2 -sSfL https://sh.vector.dev | bash
curl --proto '=https' --tlsv1.2 -sSfL https://sh.vector.dev | bash -s -- -y

Or choose your preferred method:

Platforms
Package managers
Operating systems
Manual

Highly flexible processing topologies

A wide range of sources, transforms, and sinks to choose from

47 sources
AMQP Apache Metrics AWS ECS metrics AWS Kinesis Firehose AWS S3 AWS SQS Datadog agent Demo Logs dnstap Docker logs
18 transforms
Remap with VRL Aggregate AWS EC2 metadata Dedupe Delay Exclusive Route Filter Incremental to Absolute Log to metric Lua
62 sinks
AMQP AppSignal AWS Cloudwatch logs AWS Cloudwatch metrics AWS Kinesis Data Firehose logs AWS Kinesis Streams logs AWS S3 AWS SNS AWS SQS Axiom

Backed by a strong open source community

22k+ GitHub stars
800+ Contributors
1B+ Downloads
40 Countries
View GitHub repo
Chat with us on Discord

Sign up to receive emails on the latest Vector content and new releases

Thank you for joining our Updates Newsletter

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.