Alternatives to Nagios logo

Alternatives to Nagios

Zabbix, Splunk, Icinga, Solarwinds, and AppDynamics are the most popular alternatives and competitors to Nagios.
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What is Nagios and what are its top alternatives?

Nagios is a widely-used open-source monitoring system that allows users to monitor their IT infrastructure, including servers, networks, and services. It offers features like alerting, reporting, and capacity planning. However, some limitations of Nagios include its complex configuration and lack of scalability for large environments.

  1. Zabbix: Zabbix is a popular open-source monitoring solution that offers real-time monitoring, alerting, and visualization of the performance of networks, servers, and applications. Key features include auto-discovery of devices, flexible alerting, and distributed monitoring. Pros of Zabbix include its easy setup and powerful monitoring capabilities, while cons include a steep learning curve for beginners.
  2. Icinga: Icinga is an open-source monitoring tool that offers a user-friendly interface and flexible monitoring capabilities. It supports monitoring of networks, servers, and applications with features like performance graphs, integrated reporting, and advanced alerting. Pros of Icinga include its scalability and community support, while cons include a complex configuration setup.
  3. Prometheus: Prometheus is a cloud-native monitoring tool that excels in monitoring dynamic environments like Kubernetes. It provides a time-series database, alerting, and metrics collection with a flexible query language. Pros of Prometheus include its powerful data model and rich ecosystem of integrations, while cons include its limited support for non-time-series data.
  4. Telegraf: Telegraf is a plugin-driven server agent for collecting and reporting metrics and data. It supports a wide range of inputs and outputs, making it flexible for various monitoring needs. Key features include support for multiple data types, integrations with various databases, and ease of use. Pros of Telegraf include its lightweight footprint and ability to scale horizontally, while cons include potential limitations in complex monitoring scenarios.
  5. Netdata: Netdata is a real-time monitoring and troubleshooting tool that provides comprehensive insights into the performance of servers, containers, and applications. It offers real-time health monitoring, visualizations, and alerts for proactive troubleshooting. Pros of Netdata include its real-time monitoring capabilities and ease of installation, while cons include potential limitations in large-scale environments.
  6. Opsgenie: Opsgenie is an incident management and alerting tool that helps teams respond to issues effectively. It integrates with monitoring tools to automate alerting and collaboration, with features like on-call scheduling, escalations, and incident reporting. Pros of Opsgenie include its robust alerting capabilities and integration options, while cons include potential pricing considerations for large teams.
  7. Observium: Observium is a network monitoring platform that offers auto-discovery, performance graphs, and notifications for network devices. It provides detailed insights into network health and performance for better troubleshooting. Pros of Observium include its comprehensive network monitoring capabilities and user-friendly interface, while cons include potential limitations in scalability for large networks.
  8. Check_MK: CheckMK is an open-source monitoring tool that offers comprehensive monitoring of networks, servers, and applications. It provides auto-discovery, performance graphs, and alerting for proactive monitoring. Pros of CheckMK include its intuitive user interface and powerful monitoring capabilities, while cons include potential complexity in setup and configuration.
  9. Zenoss: Zenoss is a monitoring and analytics platform that provides visibility into the performance of IT infrastructure. It offers features like unified monitoring, event management, and capacity planning for comprehensive monitoring. Pros of Zenoss include its centralized monitoring capabilities and robust reporting, while cons include potential limitations in customization for specific monitoring needs.
  10. Centreon: Centreon is a monitoring platform that offers real-time monitoring, reporting, and visualization of IT infrastructure. It supports monitoring of networks, servers, and applications with features like auto-discovery, customizable dashboards, and advanced alerting. Pros of Centreon include its user-friendly interface and scalability for large environments, while cons include potential complexity in configuration for specific use cases.

Top Alternatives to Nagios

  • Zabbix
    Zabbix

    Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics. ...

  • Splunk
    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • Icinga
    Icinga

    It monitors availability and performance, gives you simple access to relevant data and raises alerts to keep you in the loop. It was originally created as a fork of the Nagios system monitoring application. ...

  • Solarwinds
    Solarwinds

    Developed by network and systems engineers who know what it takes to manage today's dynamic IT environments, SolarWinds has a deep connection to the IT community. ...

  • AppDynamics
    AppDynamics

    AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics. ...

  • PRTG
    PRTG

    It can monitor and classify system conditions like bandwidth usage or uptime and collect statistics from miscellaneous hosts as switches, routers, servers and other devices and applications. ...

  • Prometheus
    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. ...

  • collectd
    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. ...

Nagios alternatives & related posts

Zabbix logo

Zabbix

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Track, record, alert and visualize performance and availability of IT resources
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PROS OF ZABBIX
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    Free
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    Alerts
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    Service/node/network discovery
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    Templates
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    Base metrics from the box
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    Multi-dashboards
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    SMS/Email/Messenger alerts
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    Grafana plugin available
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    Supports Graphs ans screens
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    Support proxies (for monitoring remote branches)
  • 1
    Perform website checking (response time, loading, ...)
  • 1
    API available for creating own apps
  • 1
    Templates free available (Zabbix Share)
  • 1
    Works with multiple databases
  • 1
    Advanced integrations
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    Supports multiple protocols/agents
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    Complete Logs Report
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    Open source
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    Supports large variety of Operating Systems
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    Supports JMX (Java, Tomcat, Jboss, ...)
CONS OF ZABBIX
  • 5
    The UI is in PHP
  • 2
    Puppet module is sluggish

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Shared insights
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DatadogDatadogZabbixZabbixCentreonCentreon

My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

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ZabbixZabbixCheckmkCheckmk

I am looking for an easy to set up and use monitoring solution for my servers and network infrastructure. What are the main differences between Checkmk and Zabbix? What would you recommend and why?

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Splunk logo

Splunk

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Search, monitor, analyze and visualize machine data
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PROS OF SPLUNK
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    API for searching logs, running reports
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    Alert system based on custom query results
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    Dashboarding on any log contents
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    Custom log parsing as well as automatic parsing
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    Ability to style search results into reports
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    Query engine supports joining, aggregation, stats, etc
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    Splunk language supports string, date manip, math, etc
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    Rich GUI for searching live logs
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    Query any log as key-value pairs
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    Granular scheduling and time window support
CONS OF SPLUNK
  • 1
    Splunk query language rich so lots to learn

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I am designing a Django application for my organization which will be used as an internal tool. The infra team said that I will not be having SSH access to the production server and I will have to log all my backend application messages to Splunk. I have no knowledge of Splunk so the following are the approaches I am considering: Approach 1: Create an hourly cron job that uploads the server log file to some Splunk storage for later analysis. - Is this possible? Approach 2: Is it possible just to stream the logs to some splunk endpoint? (If yes, I feel network usage and communication overhead will be a pain-point for my application)

Is there any better or standard approach? Thanks in advance.

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Shared insights
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KibanaKibanaSplunkSplunkGrafanaGrafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

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Icinga logo

Icinga

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A resilient, open source monitoring system
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PROS OF ICINGA
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      One size definitely doesn’t fit all when it comes to open source monitoring solutions, and executing generally understood best practices in the context of unique distributed systems presents all sorts of problems. Megan Anctil, a senior engineer on the Technical Operations team at Slack gave a talk at an O’Reilly Velocity Conference sharing pain points and lessons learned at wrangling known technologies such as Icinga, Graphite, Grafana, and the Elastic Stack to best fit the company’s use cases.

      At the time, Slack used a few well-known monitoring tools since it’s Technical Operations team wasn’t large enough to build an in-house solution for all of these. Nor did the team think it’s sustainable to throw money at the problem, given the volume of information processed and the not-insignificant price and rigidity of many vendor solutions. With thousands of servers across multiple regions and millions of metrics and documents being processed and indexed per second, the team had to figure out how to scale these technologies to fit Slack’s needs.

      On the backend, they experimented with multiple clusters in both Graphite and ELK, distributed Icinga nodes, and more. At the same time, they’ve tried to build usability into Grafana that reflects the team’s mental models of the system and have found ways to make alerts from Icinga more insightful and actionable.

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      Solarwinds logo

      Solarwinds

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      Unlock powerful workflows, automation, and reporting
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      PROS OF SOLARWINDS
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          AppDynamics logo

          AppDynamics

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          Application management for the cloud generation
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          PROS OF APPDYNAMICS
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            Deep code visibility
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            Powerful
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            Real-Time Visibility
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            Great visualization
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            Easy Setup
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          Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

          Current Environment: .NET Core Web app hosted on Microsoft IIS

          Future Environment: Web app will be hosted on Microsoft Azure

          Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

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          We are evaluating an APM tool and would like to select between AppDynamics or Datadog. Our applications are largely hosted on Microsoft Azure but we would keep the option to move to AWS or Google Cloud Platform in the future.

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          PRTG logo

          PRTG

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          A powerful & easy network monitoring software
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            Prometheus logo

            Prometheus

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            An open-source service monitoring system and time series database, developed by SoundCloud
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            PROS OF PROMETHEUS
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              Alerts
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              Active and responsive community
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              Extensive integrations
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              Easy to extend
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            CONS OF PROMETHEUS
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              Bad UI
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              Needs monitoring to access metrics endpoints
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              Not easy to configure and use
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              Supports only active agents
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              Written in Go
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              TLS is quite difficult to understand
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              Requires multiple applications and tools
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              Single point of failure

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            Conor Myhrvold
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            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’s 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.

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            collectd logo

            collectd

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            System and applications metrics collector
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            PROS OF COLLECTD
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              Open Source
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