Metricbeat vs Packetbeat

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Metricbeat

49
125
+ 1
3
Packetbeat

15
44
+ 1
4
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Metricbeat vs Packetbeat: What are the differences?

# Introduction

Key differences between Metricbeat and Packetbeat:

1. **Data Type Monitored**:
Metricbeat collects system-level metrics, while Packetbeat focuses on network traffic monitoring.

2. **Metrics vs Packets**:
Metricbeat collects numeric data metrics like CPU usage, memory consumption, and disk utilization, while Packetbeat captures and analyzes actual network packets allowing for deep network traffic insights.

3. **Application Focus**:
Metricbeat is more focused on monitoring infrastructure metrics for systems and applications, while Packetbeat is specifically geared towards network traffic analysis for troubleshooting and security purposes.

4. **Protocols Supported**:
Metricbeat typically supports collecting metrics from various platforms like Docker, Apache, MySQL, and others, whereas Packetbeat focuses on capturing, decoding, and analyzing data from protocols like HTTP, DNS, MySQL, etc.

5. **Granularity of Data**:
Metricbeat provides aggregated metrics about the system and applications, while Packetbeat offers detailed insights into network traffic capturing individual packets and their contents.

6. **Use Cases**:
Metricbeat is commonly used for infrastructure monitoring, performance analysis, and capacity planning, while Packetbeat is utilized for network troubleshooting, identifying application performance issues, and detecting security threats in real-time.

In Summary, Metricbeat and Packetbeat differ in the type of data monitored, focus on metrics vs packets, supported protocols, granularity of data, application focus, and use cases.

Advice on Metricbeat and Packetbeat
Sunil Chaudhari
Needs advice
on
MetricbeatMetricbeat
and
PrometheusPrometheus

Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.

Is it OK to use Metricbeat for Linux server or can we use Prometheus?

What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?

Regards, Sunil.

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Replies (2)
Matthew Rothstein
Recommends
on
PrometheusPrometheus

If you're already using Prometheus for your system metrics, then it seems like standing up Elasticsearch just for Linux host monitoring is excessive. The node_exporter is probably sufficient if you'e looking for standard system metrics.

Another thing to consider is that Metricbeat / ELK use a push model for metrics delivery, whereas Prometheus pulls metrics from each node it is monitoring. Depending on how you manage your network security, opting for one solution over two may make things simpler.

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Recommends
on
InstanaInstana

Hi Sunil! Unfortunately, I don´t have much experience with Metricbeat so I can´t advise on the diffs with Prometheus...for Linux server, I encourage you to use Prometheus node exporter and for PCF, I would recommend using the instana tile (https://www.instana.com/supported-technologies/pivotal-cloud-foundry/). Let me know if you have further questions! Regards Jose

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Pros of Metricbeat
Pros of Packetbeat
  • 2
    Simple
  • 1
    Easy to setup
  • 2
    Easy setup
  • 2
    Works well with ELK stack

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What is Metricbeat?

Collect metrics from your systems and services. From CPU to memory, Redis to NGINX, and much more, It is a lightweight way to send system and service statistics.

What is Packetbeat?

Packetbeat agents sniff the traffic between your application processes, parse on the fly protocols like HTTP, MySQL, Postgresql or REDIS and correlate the messages into transactions.

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What companies use Metricbeat?
What companies use Packetbeat?
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What are some alternatives to Metricbeat and Packetbeat?
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Telegraf
It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.
Filebeat
It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.
collectd
collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.
Fluentd
Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.
See all alternatives