Filebeat聽vs聽Metricbeat

Filebeat
Filebeat

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Metricbeat
Metricbeat

24
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Filebeat vs Metricbeat: What are the differences?

Developers describe Filebeat as "A lightweight shipper for forwarding and centralizing log data". It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files. On the other hand, Metricbeat is detailed as "A Lightweight Shipper for Metrics". 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.

Filebeat and Metricbeat are primarily classified as "Log Management" and "Monitoring" tools respectively.

Advice on Filebeat and Metricbeat
Sunil Chaudhari
Sunil Chaudhari
Team Lead at DBS | 2 upvotes 8.2K views
Needs advice
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PrometheusPrometheus
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MetricbeatMetricbeat

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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    What is Filebeat?

    It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.

    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 companies use Filebeat?
    What companies use Metricbeat?

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    What tools integrate with Filebeat?
    What tools integrate with Metricbeat?
    What are some alternatives to Filebeat and Metricbeat?
    Logstash
    Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
    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.
    Rsyslog
    It offers high-performance, great security features and a modular design. It is able to accept inputs from a wide variety of sources, transform them, and output to the results to diverse destinations.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    Papertrail
    Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.
    See all alternatives
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