Fluentd聽vs聽Nagios

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Fluentd
Fluentd

222
141
+ 1
4
Nagios
Nagios

557
391
+ 1
93
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Fluentd vs Nagios: What are the differences?

Fluentd: Unified logging layer. 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; Nagios: Complete monitoring and alerting for servers, switches, applications, and services. Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Fluentd and Nagios are primarily classified as "Log Management" and "Monitoring" tools respectively.

Some of the features offered by Fluentd are:

  • Open source
  • Flexible
  • Minimum resources

On the other hand, Nagios provides the following key features:

  • Monitor your entire IT infrastructure
  • Spot problems before they occur
  • Know immediately when problems arise

Fluentd and Nagios are both open source tools. It seems that Fluentd with 8.04K GitHub stars and 938 forks on GitHub has more adoption than Nagios with 60 GitHub stars and 36 GitHub forks.

According to the StackShare community, Nagios has a broader approval, being mentioned in 177 company stacks & 40 developers stacks; compared to Fluentd, which is listed in 64 company stacks and 18 developer stacks.

What is 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.

What is Nagios?

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
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Why do developers choose Fluentd?
Why do developers choose Nagios?

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      What companies use Fluentd?
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      What are some alternatives to Fluentd and Nagios?
      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.
      Splunk
      Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
      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.
      Filebeat
      It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.
      Elasticsearch
      Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
      See all alternatives
      Decisions about Fluentd and Nagios
      Conor Myhrvold
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber | 9 upvotes 491.2K views
      atUber TechnologiesUber Technologies
      Nagios
      Nagios
      Grafana
      Grafana
      Graphite
      Graphite
      Prometheus
      Prometheus

      Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

      By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node鈥檚 disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

      To ensure the scalability of Uber鈥檚 metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

      https://eng.uber.com/m3/

      (GitHub : https://github.com/m3db/m3)

      See more
      Interest over time
      Reviews of Fluentd and Nagios
      No reviews found
      How developers use Fluentd and Nagios
      Avatar of ShadowICT
      ShadowICT uses NagiosNagios

      We use Nagios to monitor our stack and alert us when problems arise. Nagios allows us to monitor every aspect of each of our servers such as running processes, CPU usage, disk usage, and more. This means that as soon as problems arise, we can detect them and call out an engineer to resolve the issues as soon as possible.

      Avatar of Analytical Informatics
      Analytical Informatics uses NagiosNagios

      We use Nagios to monitor customer instances of Bridge and proactively alert us about issues like queue sizes, downed services, errors in logs, etc.

      Avatar of OnlineCity
      OnlineCity uses NagiosNagios

      We use nagios based OpsView to monitor our server farm and keep everything running smoothly.

      Avatar of Peter Degen-Portnoy
      Peter Degen-Portnoy uses NagiosNagios

      Monitor web servers, databases, utility servers

      Avatar of Veggie Sailor
      Veggie Sailor uses NagiosNagios

      For the monitoring full stack of the platform.

      How much does Fluentd cost?
      How much does Nagios cost?
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