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

Cronitor vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Cronitor
Cronitor
Stacks19
Followers24
Votes3
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Cronitor vs Prometheus: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Cronitor and Prometheus, which are monitoring tools used for different purposes.

  1. Monitoring Concepts: Cronitor is primarily built for monitoring cron jobs, which are scheduled tasks in Unix-like operating systems, while Prometheus is a general-purpose monitoring system that can be used to monitor various types of services and resources.

  2. Data Collection: Cronitor monitors specific cron jobs by sending HTTP requests to check if the jobs are running on time. In contrast, Prometheus collects metrics from the targets configured in its configuration file, using a pull-based model where it scrapes data from the targets.

  3. Alerting and Notifications: Cronitor provides rich alerting capabilities and allows users to create custom alerts based on various conditions for their cron jobs. It also supports notifications through multiple channels, such as email, SMS, and webhook integration. On the other hand, Prometheus has built-in alerting rules and can send alerts to various notification channels, including Slack, PagerDuty, and email.

  4. Metrics and Monitoring: Cronitor primarily focuses on monitoring the execution and health of cron jobs, providing insights into their timings and performance. Prometheus, on the other hand, is a highly scalable monitoring system that collects, stores, and analyzes time-series data. It offers a wide range of monitoring capabilities, including metrics collection, visualization, and advanced querying.

  5. Service Discovery: Cronitor relies on users manually configuring the cron jobs they want to monitor by specifying their URLs. Prometheus, on the other hand, has built-in service discovery mechanisms that automatically discover and monitor targets based on predefined patterns or through integrations with container orchestration platforms like Kubernetes.

  6. Data Storage and Retention: Cronitor does not provide long-term data storage. It keeps a limited amount of historical data for each individual cron job. Prometheus, on the other hand, uses a local time-series database for storing and analyzing metrics. It allows users to set retention policies to define how long the data should be retained and provides various storage options, including remote storage integrations.

In summary, Cronitor is designed specifically for monitoring cron jobs, providing specialized features for their monitoring and alerting. On the other hand, Prometheus is a more general-purpose monitoring system with a broader range of capabilities, including metrics collection, service discovery, and long-term data storage.

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Advice on Cronitor, 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

Cronitor
Cronitor
Prometheus
Prometheus

Monitoring systems are often complex and require a strong sysadmin background to properly configure and maintain. Cronitor replaces all this with a simple service that anyone can set up. Receive email/sms notifications if your jobs don't run, run too slow, or finish too quickly.

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.

Constant Monitoring - Our monitoring and alerting system is robust, so yours doesn't have to be. Get alerts the minute something goes wrong with your scheduled job. Integrates Anywhere - Tracking is just an http request. Add it to your bash, python, php, java scripts etc.
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
19
Stacks
4.8K
Followers
24
Followers
3.8K
Votes
3
Votes
239
Pros & Cons
Pros
  • 2
    Quick and helpful support
  • 1
    Simple and direct
Cons
  • 0
    Pricey
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
Slack
Slack
PagerDuty
PagerDuty
HipChat
HipChat
Grafana
Grafana

What are some alternatives to Cronitor, 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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