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

Observium vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Observium
Observium
Stacks18
Followers58
Votes1

Observium vs Prometheus: What are the differences?

Key Differences between Observium and Prometheus

Observium and Prometheus are two popular monitoring tools used in IT infrastructure management. While both provide valuable insights into system performance, there are key differences that set them apart.

  1. Architecture: Observium is built using a traditional client-server architecture model. It relies on a centralized server that collects data from various devices and agents. On the other hand, Prometheus follows a decentralized architecture where each target device exposes metrics directly to the Prometheus server, allowing for a more flexible and scalable monitoring approach.

  2. Data Collection: Observium primarily focuses on collecting data via SNMP (Simple Network Management Protocol) and utilizes polling techniques to gather information from monitored devices. Prometheus, on the other hand, adopts a pull-based model where it scrapes metrics from specific endpoints exposed by each target device. This approach ensures more efficient data collection and reduces network overhead.

  3. Data Storage: Observium uses a MySQL or MariaDB database to store and manage collected data. It organizes information in a predefined schema, allowing for easy querying and analysis. In contrast, Prometheus operates on its proprietary time-series database capable of handling vast amounts of metrics and timestamps efficiently. This database is optimized for storing and querying time-series data, offering advanced querying capabilities like label-based filtering.

  4. Alerting and Notification: Observium provides a useful alerting system that allows users to define threshold alerts and receive notifications when specific conditions are met. Its notification system supports various methods such as email, SMS, and SNMP traps. Prometheus, on the other hand, comes with a more extensive alerting system known as Prometheus Alertmanager. It offers advanced features like deduplication, grouping, and silencing of alerts, empowering users to manage and process alerts more efficiently.

  5. Ecosystem and Integration: Observium is a feature-rich tool with out-of-the-box support for a wide range of network devices and vendors. It offers an extensive set of integrations enabling monitoring across different technologies. Prometheus, on the other hand, has a thriving community-driven ecosystem. It offers a vast collection of exporters that can gather metrics from various sources, making it highly versatile and suitable for monitoring diverse applications and systems.

  6. Scalability: Observium is designed to handle small to medium-sized networks and can efficiently collect and process data within that range. However, scaling Observium for large-scale deployments can be challenging due to its architecture and database limitations. Prometheus, on the other hand, is highly scalable and can handle monitoring requirements at any scale. Its distributed architecture and efficient data storage make it suitable for monitoring large deployments and high-traffic environments.

In Summary, Observium and Prometheus differ in terms of architecture, data collection methods, data storage, alerting capabilities, ecosystem and integration support, and scalability. Choose Observium for its centralized approach, support for SNMP, and easy setup, while Prometheus offers a decentralized architecture, pull-based model, and scalability for monitoring diverse systems and applications.

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Advice on Prometheus, Observium

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
Observium
Observium

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 is a low-maintenance auto-discovering network monitoring platform supporting a wide range of device types, platforms and operating systems

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Simple and intuitive interface ;Threshold, State and Syslog Alerting; Rule-based automatic grouping
Statistics
GitHub Stars
61.1K
GitHub Stars
-
GitHub Forks
9.9K
GitHub Forks
-
Stacks
4.8K
Stacks
18
Followers
3.8K
Followers
58
Votes
239
Votes
1
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
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Pros
  • 1
    Modern Graphs
Integrations
Grafana
Grafana
Windows
Windows
Linux
Linux
FreeBSD
FreeBSD
Debian
Debian

What are some alternatives to Prometheus, Observium?

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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