37 highlights tagged with "type: new feature"

We've added support for JSON and YAML config formats.

Interoperability with the Prometheus ecosystem.

Export observability data out of AWS.

Collect metrics from your host, Apache, Nginx, and Mongodb.

Increasing reliability and performance across your entire observability infrastructure.

Canonical Log Lines in Vector

Stuff more data down a smaller hose in less time for cheaper.

Vector has a new way to authenticate with Kafka!

The journald source can now exclude units.

Papertrail, Honeycomb, Pulsar, and DataDog Logs

It's not possible to forward metrics between Vector instances

High quality guides and education for Vector

Filter and route your logs based on defined conditions

Sink logs to the Datadog logging service

Sink logs to the Apache Pulsar service

Sink logs to the Honeycomb logging service

Sink logs to the Papertrail logging service

Protect downstream metrics storages from runaway metrics tags

Securely forward data between Vector instances

Shed duplicate logs

Improve throughput by compressing data before writing it to Kafka

More control over which fields are included when encoding

Build Vector with select components

Bringing Vector to NixOS

An easier way to rename fields

Split log streams with ease

7 new sinks have been added to Vector

Set defaults for Vector's common log key names

Best effort parsing support for Syslog

A better way to manage complex Vector configurations

Scrape prometheus metrics with Vector

Enrich your events with EC2 metadata

Early adopters have a new Kuberenetes source to chew on

Point Vector to custom DNS servers

Treating your Vector configuration files as code

Bringing the performance and reliability of Vector to Windows

These architectures are widely used in embeded devices & servers