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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Prometheus vs Server Density

Prometheus vs Server Density

OverviewDecisionsComparisonAlternatives

Overview

Server Density
Server Density
Stacks28
Followers23
Votes2
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Prometheus vs Server Density: What are the differences?

What is Prometheus? An open-source service monitoring system and time series database, developed by SoundCloud. 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.

What is Server Density? Trusted monitoring built by experts. SaaS-based scalable infrastructure monitoring to help businesses save time and money. With advanced server and website monitoring alerts, graphing tools and integrations with all major cloud service providers.

Prometheus belongs to "Monitoring Tools" category of the tech stack, while Server Density can be primarily classified under "Performance Monitoring".

Some of the features offered by Prometheus are:

  • a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
  • a flexible query language to leverage this dimensionality
  • no dependency on distributed storage

On the other hand, Server Density provides the following key features:

  • Open source agent, plugin library, full API and Nagios compatibility
  • Automatic install via script, system packages, Puppet, Chef, Ansible & Salt Stack
  • Apps for iOS, Android, Apple TV and Slackbot

Prometheus is an open source tool with 25K GitHub stars and 3.55K GitHub forks. Here's a link to Prometheus's open source repository on GitHub.

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Advice on Server Density, Prometheus

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

403k views403k
Comments
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

Detailed Comparison

Server Density
Server Density
Prometheus
Prometheus

SaaS-based scalable infrastructure monitoring to help businesses save time and money. With advanced server and website monitoring alerts, graphing tools and integrations with all major cloud service providers.

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.

Open source agent, plugin library, full API and Nagios compatibility;Automatic install via script, system packages, Puppet, Chef, Ansible & Salt Stack;Apps for iOS, Android, Apple TV and Slackbot;Easy to use monitoring API including agentless monitoring;Website and API availability monitoring with response time alerting from the USA, UK, Europe, Australia, Russia, Japan, South Africa and more;Reduce monitoring noise, reduce false alerts and improve life on call
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
9.9K
Stacks
28
Stacks
4.8K
Followers
23
Followers
3.8K
Votes
2
Votes
239
Pros & Cons
Pros
  • 1
    Great support and continuous improvement
  • 1
    Great interface, accurate, simple setup
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
Integrations
MySQL
MySQL
NGINX
NGINX
Amazon EC2
Amazon EC2
Apache HTTP Server
Apache HTTP Server
Python
Python
PHP
PHP
Memcached
Memcached
Hadoop
Hadoop
Redis
Redis
Docker
Docker
Grafana
Grafana

What are some alternatives to Server Density, Prometheus?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

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.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios

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

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

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

AppDynamics

AppDynamics

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

Zabbix

Zabbix

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

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