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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Monitorix vs Prometheus

Monitorix vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Monitorix
Monitorix
Stacks5
Followers15
Votes0
GitHub Stars1.2K
Forks172

Monitorix vs Prometheus: What are the differences?

## Introduction
Monitorix and Prometheus are two popular monitoring tools used in the IT industry. While both tools serve the purpose of monitoring systems and applications, they have distinct differences that set them apart.

1. **Data Collection Method**: Monitorix primarily collects data through system logs and files, making it easier to set up and use for beginners. On the other hand, Prometheus uses a pull-based approach where it scrapes metrics from instrumented jobs, offering more flexibility and control over data collection.

2. **Alerting Capabilities**: Monitorix lacks native alerting capabilities and relies on external tools for setting up alerts. In contrast, Prometheus comes with built-in alerting functionalities that allow users to define and trigger alerts based on specified conditions, enhancing proactive monitoring.

3. **Scaling**: When it comes to scaling, Prometheus is designed to handle large-scale environments with a high volume of metrics more efficiently compared to Monitorix. Its distributed architecture and ability to handle federated setups make it a better choice for scaling monitoring needs.

4. **Data Visualization**: Monitorix offers basic graphing and visualization options for monitoring data, suitable for simple monitoring requirements. On the other hand, Prometheus integrates seamlessly with Grafana, a popular visualization tool, providing more advanced and customizable dashboarding capabilities.

5. **Community Support**: Prometheus has a larger and more active community compared to Monitorix, resulting in frequent updates, better documentation, and a wide range of plugins and integrations available for users, making it easier to find solutions to common issues and challenges. 

6. **Storage Backend**: Monitorix stores its data in plain text files, which can be less efficient for large-scale deployments with extensive data retention requirements. In contrast, Prometheus uses a time-series database for data storage, offering better performance and scalability for handling vast amounts of metrics over time.

In Summary, the key differences between Monitorix and Prometheus lie in their data collection methods, alerting capabilities, scalability, data visualization options, community support, and storage backends, catering to different monitoring needs and preferences in the IT industry.

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Advice on Prometheus, Monitorix

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Prometheus
Prometheus
Monitorix
Monitorix

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.

It has been created to be used under production Linux/UNIX servers, but due to its simplicity and small size can be used on embedded devices as well.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
System load average and usage; Global kernel usage; Per-processor kernel usage; Generic sensors statistics; IPMI sensor statistics; NVIDIA temperatures and usage
Statistics
GitHub Stars
61.1K
GitHub Stars
1.2K
GitHub Forks
9.9K
GitHub Forks
172
Stacks
4.8K
Stacks
5
Followers
3.8K
Followers
15
Votes
239
Votes
0
Pros & Cons
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
No community feedback yet
Integrations
Grafana
Grafana
Linux
Linux
Datadog
Datadog
PagerDuty
PagerDuty
VictorOps
VictorOps
Server Density
Server Density
Alerta
Alerta
Bigpanda
Bigpanda

What are some alternatives to Prometheus, Monitorix?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

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

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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