Beats: Lightweight Data Shippers
Discover the Beats family that ships logs and metrics into the ELK Stack, when to use Filebeat versus Metricbeat, and how Beats fit alongside Logstash.
Beats: Lightweight Data Shippers is a free System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
What Are Beats?
Beats are lightweight, single-purpose agents installed on your servers to collect data and ship it to Elasticsearch or Logstash. They use few resources, ideal for edge collection.
The Beats Family
Each Beat targets one data type.
- Filebeat for log files
- Metricbeat for system and service metrics
- Packetbeat for network data
- Heartbeat for uptime checks
Where Beats Fit
Beats sit at the source. They can ship directly to Elasticsearch, or to Logstash first when you need heavier parsing and enrichment.
app server -> Filebeat -> Logstash -> Elasticsearch -> KibanaFilebeat Basics
Filebeat tails log files and forwards new lines. It tracks read position so it resumes after restarts without duplicating data.
filebeat.inputs:
- type: log
paths:
- /var/log/app/*.logSending to Elasticsearch
For simple pipelines, point Filebeat straight at Elasticsearch.
output.elasticsearch:
hosts: ["http://localhost:9200"]Sending to Logstash
When you need grok parsing or enrichment, send to Logstash instead.
output.logstash:
hosts: ["localhost:5044"]Metricbeat
Metricbeat collects metrics from the OS and from services through modules.
metricbeat.modules:
- module: system
metricsets: [cpu, memory, network]
period: 10sModules and Dashboards
Beats ship with prebuilt modules that include parsing rules and ready-made Kibana dashboards, so you get visualizations without manual setup.
filebeat modules enable nginx
filebeat setup --dashboardsBack Pressure Handling
If the output is slow or down, Beats apply back pressure and buffer locally, slowing reads instead of dropping data.
Beats vs Logstash
Beats are light shippers; Logstash is a heavy processor. Use Beats at the edge for collection and Logstash centrally for transformation.
- Beats: low footprint, on every host
- Logstash: more CPU, fewer central nodes
A Typical Setup
Filebeat on each app server forwards logs to a Logstash pipeline that parses and enriches them before indexing in Elasticsearch for Kibana.
Quick Check
Choose the right Beat.
Recap
You learned that Beats are lightweight per-purpose shippers, that Filebeat handles logs and Metricbeat handles metrics, and that Beats can send directly to Elasticsearch or through Logstash for heavier parsing. Beats sit at the edge with a small footprint, complementing central Logstash processing.
Frequently asked questions
Is the “Beats: Lightweight Data Shippers” lesson free?
Yes — the full text of “Beats: Lightweight Data Shippers” is free to read here on the web, and the System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) course, upgrade to CoddyKit PRO.
What will I learn in “Beats: Lightweight Data Shippers”?
Discover the Beats family that ships logs and metrics into the ELK Stack, when to use Filebeat versus Metricbeat, and how Beats fit alongside Logstash. You practise System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry)?
No prior experience is required. System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Beats: Lightweight Data Shippers” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) lesson?
Yes. Every System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Elasticsearch: Indexing and Search
- Logstash: Data Ingestion and Processing
- Kibana: Visualization and Dashboards
- Beats: Lightweight Data Shippers