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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Aggregation
  5. OpsGenie vs Prometheus

OpsGenie vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

OpsGenie
OpsGenie
Stacks291
Followers245
Votes27
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

OpsGenie vs Prometheus: What are the differences?

Key Differences between OpsGenie and Prometheus

OpsGenie and Prometheus are both tools used in the field of IT operations management and monitoring. While they share some similarities, they also have distinct differences. Here are the key differences between OpsGenie and Prometheus:

  1. Alerting Capabilities: OpsGenie is primarily focused on alerting and incident management. It provides powerful features for alert routing, on-call scheduling, escalation policies, and tracking incident responses. On the other hand, Prometheus is a monitoring and alerting system that focuses on collecting metrics and generating alerts based on those metrics. It provides various mechanisms to define alerting rules based on custom conditions and thresholds.

  2. Data Collection and Storage: Prometheus collects data using a pull model, where it periodically scrapes metrics from a variety of sources. It stores the collected data in its local time series database. In contrast, OpsGenie is a tool that integrates with various monitoring and logging systems to receive alerts and events. It does not have its own data collection and storage capabilities but acts as a centralized platform for managing alerts and incidents.

  3. Metric and Log Data: Prometheus focuses mainly on collecting metrics from systems and applications, allowing you to query and visualize these metrics to gain insights into the health and performance of your infrastructure. It does not provide built-in capabilities for collecting and analyzing log data. On the other hand, OpsGenie is designed to handle alerts and incidents, which include log data. It allows you to correlate alerts with log entries, enabling you to investigate issues more effectively.

  4. Integration Ecosystem: Prometheus has a vast ecosystem of exporters and integrations, making it easy to collect metrics from different systems and applications. It provides various client libraries and plugins for popular software and services. OpsGenie, on the other hand, integrates with existing monitoring and logging tools, thereby leveraging the capabilities of those tools. It acts as a central hub for managing alerts from multiple sources.

  5. Automation and Remediation: OpsGenie provides automation capabilities, enabling you to create workflows and define automated actions for specific alerts and incidents. It integrates with tools like Jira, allowing you to automatically create tickets and track the progress of incidents. Prometheus, on the other hand, is more focused on monitoring and alerting, without direct automation and remediation features. It provides the necessary data and alerts to trigger manual remediation actions.

  6. Community Support and Tool Maturity: Prometheus is an open-source project with a large and active community. It has been widely adopted and has a well-established ecosystem of tools and plugins. OpsGenie, on the other hand, is a commercial product developed by Atlassian. It offers enterprise-level support and integration with other Atlassian products, making it suitable for organizations already using Atlassian's suite of tools.

In summary, OpsGenie specializes in alerting and incident management, integrating with existing monitoring and logging tools, providing automation capabilities, and having strong community support. On the other hand, Prometheus focuses on collecting metrics, providing a wide range of integrations, and being a mature open-source project.

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Advice on OpsGenie, Prometheus

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

OpsGenie
OpsGenie
Prometheus
Prometheus

OpsGenie is a cloud-based service for dev & ops teams, providing reliable alerts, on-call schedule management, and escalations. OpsGenie integrates with monitoring tools & services and ensures that the right people are at the right time.

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.

Forward IT alerts to OpsGenie; Get notified via email, SMS, mobile push and phone calls; View alerts using mobile apps; Respond to alerts directly from OpsGenie apps
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
291
Stacks
4.8K
Followers
245
Followers
3.8K
Votes
27
Votes
239
Pros & Cons
Pros
  • 8
    Two-way slack integration
  • 5
    Solid scheduling and team management support
  • 4
    Strong API
  • 3
    Strong, easy, fast, fits
  • 3
    Two-way nagios integration
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
Integrations
Amazon SNS
Amazon SNS
Sumo Logic
Sumo Logic
AWS Lambda
AWS Lambda
Scout
Scout
Nagios
Nagios
Travis CI
Travis CI
New Relic
New Relic
HipChat
HipChat
GitHub
GitHub
Airbrake
Airbrake
Grafana
Grafana

What are some alternatives to OpsGenie, Prometheus?

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.

PagerDuty

PagerDuty

PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.

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).

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