Chat/Forum  •  Mailing List  •  Install 0.5.0

---

Vector is a high-performance observability data router. It makes collecting, transforming, and sending logs, metrics, and events easy. It decouples data collection & routing from your services, giving you control and data ownership, among many other benefits.

Built in Rust, Vector places high-value on performance, correctness, and operator friendliness. It compiles to a single static binary and is designed to be deployed across your entire infrastructure, serving both as a light-weight agent and a highly efficient service, making the process of getting data from A to B simple and unified.

Documentation

About

• Use cases
• Concepts
• Data model - log event, metric event
• Guarantees

Setup

• Installation - platforms, operating systems, package managers, from archives, from source
• Getting started
• Deployment - topologies, roles

Usage

• Configuration - sources, transforms, sinks
• Administration - starting, stopping, reloading, updating
• Guides

Resources

• Community - chat/forum, mailing list
• Releases - v0.5.0, changelog
• Roadmap - vote on new features

Features

• Fast - Built in Rust, Vector is fast and memory efficient. No runtime. No garbage collector.
• Correct - Obsessed with getting the details right.
• Vendor Neutral - Does not favor a specific storage. Fair, open, with the user's best interest in mind.
• Agent or Service - One simple tool to get data from A to B. Deploys as an agent or service.
• Logs, Metrics, or Events - Logs, metrics, and events. Collect, unify, and ship all observability data.
• Correlate Logs & Metrics - Derive metrics from logs, add shared context with transforms.
• Clear Guarantees - A guarantee support matrix helps you understand your tradeoffs.
• Easy To Deploy - Cross-compiles to a single static binary with no runtime.
• Hot Reload - Reload configuration on the fly, without skipping a beat.

Performance

Test	Vector	Filebeat	FluentBit	FluentD	Logstash	SplunkUF	SplunkHF
TCP to Blackhole	86mib/s	n/a	64.4mib/s	27.7mib/s	40.6mib/s	n/a	n/a
File to TCP	76.7mib/s	7.8mib/s	35mib/s	26.1mib/s	3.1mib/s	40.1mib/s	39mib/s
Regex Parsing	13.2mib/s	n/a	20.5mib/s	2.6mib/s	4.6mib/s	n/a	7.8mib/s
TCP to HTTP	26.7mib/s	n/a	19.6mib/s	<1mib/s	2.7mib/s	n/a	n/a
TCP to TCP	69.9mib/s	5mib/s	67.1mib/s	3.9mib/s	10mib/s	70.4mib/s	7.6mib/s

To learn more about our performance tests, please see the Vector test harness.

Correctness

Test	Vector	Filebeat	FluentBit	FluentD	Logstash	Splunk UF	Splunk HF
Disk Buffer Persistence	✅	✅	❌	❌	⚠️	✅	✅
File Rotate (create)	✅	✅	✅	✅	✅	✅	✅
File Rotate (copytruncate)	✅	❌	❌	❌	❌	✅	✅
File Truncation	✅	✅	✅	✅	✅	✅	✅
Process (SIGHUP)	✅	❌	❌	❌	⚠️	✅	✅
JSON (wrapped)	✅	✅	❌	✅	✅	✅	✅

To learn more about our performance tests, please see the Vector test harness.

Installation

Run the following in your terminal, then follow the on-screen instructions.

curl https://sh.vector.dev -sSf | sh

Or view platform specific installation instructions.

Sources

Name	Description
docker	Ingests data through the docker engine daemon and outputs log events.
file	Ingests data through one or more local files and outputs log events.
journald	Ingests data through log records from journald and outputs log events.
kafka	Ingests data through Kafka 0.9 or later and outputs log events.
statsd	Ingests data through the StatsD UDP protocol and outputs metric events.
stdin	Ingests data through standard input (STDIN) and outputs log events.
syslog	Ingests data through the Syslog 5424 protocol and outputs log events.
tcp	Ingests data through the TCP protocol and outputs log events.
udp	Ingests data through the UDP protocol and outputs log events.
vector	Ingests data through another upstream Vector instance and outputs log and metric events.

+ request a new source

Transforms

Name	Description
add_fields	Accepts log events and allows you to add one or more log fields.
add_tags	Accepts metric events and allows you to add one or more metric tags.
coercer	Accepts log events and allows you to coerce log fields into fixed types.
field_filter	Accepts log and metric events and allows you to filter events by a log field's value.
grok_parser	Accepts log events and allows you to parse a log field value with Grok.
json_parser	Accepts log events and allows you to parse a log field value as JSON.
log_to_metric	Accepts log events and allows you to convert logs into one or more metrics.
lua	Accepts log events and allows you to transform events with a full embedded Lua engine.
regex_parser	Accepts log events and allows you to parse a log field's value with a Regular Expression.
remove_fields	Accepts log events and allows you to remove one or more log fields.
remove_tags	Accepts metric events and allows you to remove one or more metric tags.
sampler	Accepts log events and allows you to sample events with a configurable rate.
split	Accepts log events and allows you to split a field's value on a given separator and zip the tokens into ordered field names.
tokenizer	Accepts log events and allows you to tokenize a field's value by splitting on white space, ignoring special wrapping characters, and zip the tokens into ordered field names.

+ request a new transform

Sinks

Name	Description
aws_cloudwatch_logs	Batches log events to AWS CloudWatch Logs via the PutLogEvents API endpoint.
aws_cloudwatch_metrics	Streams metric events to AWS CloudWatch Metrics via the PutMetricData API endpoint.
aws_kinesis_streams	Batches log events to AWS Kinesis Data Stream via the PutRecords API endpoint.
aws_s3	Batches log events to AWS S3 via the PutObject API endpoint.
blackhole	Streams log and metric events to a blackhole that simply discards data, designed for testing and benchmarking purposes.
clickhouse	Batches log events to Clickhouse via the HTTP Interface.
console	Streams log and metric events to standard output streams, such as STDOUT and STDERR.
datadog_metrics	Batches metric events to Datadog metrics service using HTTP API.
elasticsearch	Batches log events to Elasticsearch via the _bulk API endpoint.
file	Streams log events to a file.
http	Batches log events to a generic HTTP endpoint.
kafka	Streams log events to Apache Kafka via the Kafka protocol.
prometheus	Exposes metric events to Prometheus metrics service.
splunk_hec	Batches log events to a Splunk HTTP Event Collector.
statsd	Streams metric events to StatsD metrics service.
tcp	Streams log events to a TCP connection.
vector	Streams log events to another downstream Vector instance.

+ request a new sink

License

Copyright 2019, Vector Authors. All rights reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

---

Developed with ❤️ by Timber.io