Vector

Vector

Docker app from coreylane's Repository

Overview

Vector is a high-performance, end-to-end (agent & aggregator) observability data pipeline that puts you in control of your observability data. Collect, transform, and route all your logs, metrics, and traces to any vendors you want today and any other vendors you may want tomorrow. Vector enables dramatic cost reduction, novel data enrichment, and data security where you need it, not where it is most convenient for your vendors. Additionally, it is open source and up to 10x faster than every alternative in the space. The image has no default configuration. Put vector.yaml in the configuration directory before the first start. To collect the logs of your other containers with the docker_logs source, keep the Docker socket path.

Nightly Integration/E2E Test Suite Component Features

Vector

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What is Vector?

Vector is a high-performance, end-to-end (agent & aggregator) observability data pipeline that puts you in control of your observability data. Collect, transform, and route all your logs and metrics to any vendors you want today and any other vendors you may want tomorrow. Vector enables dramatic cost reduction, novel data enrichment, and data security where you need it, not where it is most convenient for your vendors. Additionally, it is open source and up to 10x faster than every alternative in the space.

To get started, follow our quickstart guide or install Vector.

Vector is maintained by Datadog's Community Open Source Engineering team.

Principles

  • Reliable - Built in Rust, Vector's primary design goal is reliability.
  • End-to-end - Deploys as an agent or aggregator. Vector is a complete platform.
  • Unified - Logs, metrics (beta), and traces (coming soon). One tool for all of your data.

Use cases

  • Reduce total observability costs.
  • Transition vendors without disrupting workflows.
  • Enhance data quality and improve insights.
  • Consolidate agents and eliminate agent fatigue.
  • Improve overall observability performance and reliability.

Community

  • Vector is relied on by startups and enterprises like Atlassian, T-Mobile, Comcast, Zendesk, Discord, Fastly, CVS, Trivago, Tuple, Douban, Visa, Mambu, Blockfi, Claranet, Instacart, Forcepoint, and many more.
  • Vector is downloaded over 100,000 times per day.
  • Vector's largest user processes over 500TB daily.
  • Vector has over 500 contributors and growing.

Documentation

All user documentation is available at vector.dev/docs.

Other Resources:

Comparisons

Performance

The following performance tests demonstrate baseline performance between common protocols with the exception of the Regex Parsing test.

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

The following correctness tests are not exhaustive, but they demonstrate fundamental differences in quality and attention to detail:

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 correctness tests, please see the Vector test harness.

Features

Vector is an end-to-end, unified, open data platform.

Vector Beats Fluentbit Fluentd Logstash Splunk UF Splunk HF Telegraf
End-to-end ✓ ✓
Agent ✓ ✓ ✓ ✓ ✓
Aggregator ✓ ✓ ✓ ✓ ✓
Unified ✓ ✓
Logs ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Metrics ✓ ⚠ ⚠ ⚠ ⚠ ⚠ ⚠ ✓
Traces 🚧
Open ✓ ✓ ✓ ✓
Open-source ✓ ✓ ✓ ✓ ✓ ✓
Vendor-neutral ✓ ✓ ✓ ✓
Reliability ✓
Memory-safe ✓ ✓
Delivery guarantees ✓ ✓ ✓
Multi-core ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓

⚠ = Not interoperable, metrics are represented as structured logs


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4,119,286,047
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This Month
5,540,271
Avg / Month

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Details

Repository
timberio/vector:latest-alpine
Last Updated2026-09-26
First Seen2023-05-18

Runtime arguments

Network
bridge
Shell
sh
Privileged
false

Template configuration

Configuration DirectoryPathro

Put vector.yaml in this directory. The image has no default configuration.

Target
/etc/vector
Default
/mnt/user/appdata/vector/config
Value
/mnt/user/appdata/vector/config
Data DirectoryPathrw

The data_dir of Vector: disk buffers and source checkpoints.

Target
/var/lib/vector
Default
/mnt/user/appdata/vector/data
Value
/mnt/user/appdata/vector/data
Docker SocketPathro

Needed only for the docker_logs source. Remove it if you do not collect container logs.

Target
/var/run/docker.sock
Default
/var/run/docker.sock
Value
/var/run/docker.sock
VECTOR_CONFIGVariable

Path of the configuration file in the container. Separate several files with commas. For a TOML file, use /etc/vector/vector.toml.

Default
/etc/vector/vector.yaml
Value
/etc/vector/vector.yaml