Vector 0.57.0 on Ubuntu 24.04

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

Overview

Vector is a high-performance, end-to-end open source observability data pipeline built in Rust. It collects, transforms and routes logs, metrics and traces from many sources, reshapes them through a configurable pipeline written in a purpose-built transform language (VRL), then routes the results to dozens of destinations. Unlike heavier collectors such as Logstash and Fluentd, Vector ships as a single self-contained binary with no JVM and no runtime dependencies, for a small memory footprint and fast startup. This cloudimg image delivers Vector fully installed and running as a system service with a working demo pipeline, so a telemetry pipeline appliance is processing events within minutes of launch.

Observability Pipeline Service

The Vector daemon is installed from the pinned official release and managed by the bundled system service, started on boot and restarted on failure. A self-contained demo pipeline ships ready to run: a generated event stream is parsed and tagged by a transform, then fanned out to a console output and a file output on disk, so you can confirm events are flowing the moment you log in. Replace the demo source and sinks with your own to start collecting and routing your real telemetry.

Secure By Default

Vector's optional management API and GraphQL playground are bound to loopback only, so local tooling can read pipeline health and live throughput while nothing is reachable off the instance. The demo pipeline uses a self-contained event generator with no network listener, so the image opens no data port at all: the only inbound port is SSH. There is no baked credential of any kind and the shipped config carries no secrets.

Configurable Pipeline

Vector reads its pipeline from a single config file. Define sources to tail files, read the journal, scrape metrics or receive syslog, forward and HTTP traffic; chain transforms to parse, enrich, filter, sample and route with VRL, the Vector Remap Language; and fan out to multiple sinks in parallel, including popular search, log, metrics and object-storage destinations and any HTTP endpoint. An on-disk buffer backs the pipeline so brief sink outages do not drop events.

Ready To Use

Connect over SSH and the pipeline is already running. Read the welcome notes and the commented demo config, edit the config, point the sources at your telemetry and the sinks at your destinations, then reload the service. Validate any change before it goes live with the built-in config validator. A step-by-step deploy guide is paired with the image.

Use Cases

A log and metrics agent shipping telemetry to your observability backend, enriching events with metadata and routing errors to alerting and full logs to object storage. An edge aggregator parsing, filtering and reshaping events before they leave your network to reduce egress volume. A vendor-neutral router fanning one telemetry stream out to several destinations at once. A resource-light, high-throughput alternative to heavier collectors.

cloudimg Support

24/7 technical support by email and chat. Help with pipeline design, source and sink configuration, VRL transform authoring, parsing and enrichment, buffering and backpressure, routing to your observability backend and upgrade planning.

Vector is developed by Datadog, Inc. This image is not affiliated with or endorsed by Datadog. All product and company names are trademarks or registered trademarks of their respective holders.