vector — high-performance log and metric pipeline

💬 "vector commands"

vector is a high-performance log and metric pipeline open-sourced by Datadog. It collects, transforms, and ships logs and metrics.

Based on Rust, it is 3 to 10 times faster than Fluentd. It processes logs, metrics, and traces with a single binary.

• Concept: Based on Rust, it is 3 to 10 times faster than Fluentd.
• Key Features: It processes logs, metrics, and traces with a single binary.
• Advantages: Uses simple TOML-based configuration.
• Usage: Supports various sources and sinks such as HTTP, Kafka, S3, Elasticsearch, Datadog, etc.

Installation and Download

vector is installed via package manager or official script.

Installation verification is done using vector --version.

Commonly Used Options

Three Essential Command Combinations

• vector validate --config /etc/vector/vector.toml — Validate configuration
• vector top — Monitor real-time throughput and errors
• vector tap <source> — Preview source data

💬 "Show me an example of using vector on a real server"

Common situations encountered on a server in production are organized in order.

Step 1 · Installation Check

Check if installed.

vector --version || curl --proto '=https' --tlsv1.2 -sSf https://sh.vector.dev | sh

Step 2 · Configuration Validation

Validate the vector.toml configuration.

sudo vector validate --config /etc/vector/vector.toml

Step 3 · Monitoring

Monitor real-time processing.

sudo vector top

Actual Execution Screen

This is the result after writing and validating the vector.toml configuration.

!vector command execution result

Server in production

In Practice, It Is Used Like This

1. nginx Log Collection Configuration

Situation — Collect nginx access logs.

[sources.nginx]\ntype = "file"\ninclude = ["/var/log/nginx/access.log"]

Result — The log file is registered as a source.

Point — Can simultaneously send to file and Elasticsearch.

2. Real-time Monitoring

Situation — Monitor throughput.

sudo vector top

Result — 142 events/s are processed from the nginx source.

Point — Real-time bottleneck detection is possible.

Actual Execution Screen

This is the result of monitoring real-time processing using vector top.

!vector command execution result 2

Server in production

Things to Note

• Vector is still changing rapidly. The configuration format may vary depending on the version.
• VRL is powerful but has a learning curve. Start with simple transformations.
• In high-volume log environments, disk buffer configuration is essential to prevent log loss during transmission delays.

Source (HTML): https://games.aidebatehub.com/programs/linux/logs/vector.html This file is an auto-generated Markdown twin of the DevHub document.