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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
Setup
- Installation - docker, apt, homebrew, yum, download archives, and more
- Getting started
- Deployment - topologies, roles
Usage
- Configuration - sources, transforms, sinks
- Administration - starting, stopping, reloading, updating
- Guides
Resources
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 |
---|---|
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. |
Transforms
Name | Description |
---|---|
add_fields |
Accepts log events and allows you to add one or more fields. |
coercer |
Accepts log events and allows you to coerce event fields into fixed types. |
field_filter |
Accepts log and metric events and allows you to filter events by a field's value. |
grok_parser |
Accepts log events and allows you to parse a field value with Grok. |
json_parser |
Accepts log events and allows you to parse a 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 field's value with a Regular Expression. |
remove_fields |
Accepts log and metric events and allows you to remove one or more event fields. |
sampler |
Accepts log events and allows you to sample events with a configurable rate. |
tokenizer |
Accepts log events and allows you to tokenize a field's value by splitting on white space, ignoring special wrapping characters, and zipping the tokens into ordered field names. |
Sinks
Name | Description |
---|---|
aws_cloudwatch_logs |
Batches log events to AWS CloudWatch Logs via the PutLogEvents 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 the console, STDOUT or STDERR . |
elasticsearch |
Batches log events to Elasticsearch via the _bulk API endpoint. |
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. |
tcp |
Streams log events to a TCP connection. |
vector |
Streams log events to another downstream Vector instance. |
Companies Using Vector In Production
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