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  5. Prometheus vs Runbook

Prometheus vs Runbook

OverviewDecisionsComparisonAlternatives

Overview

Runbook
Runbook
Stacks6
Followers21
Votes0
GitHub Stars193
Forks54
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Prometheus vs Runbook: What are the differences?

Key Differences Between Prometheus and Runbook

Prometheus and Runbook are both widely used tools in the field of IT infrastructure management and monitoring. While they have some similarities, there are also significant differences between the two. Here are the key differences:

  1. Data Collection Method: Prometheus collects data through a pull-based method, where it periodically scrapes metrics from configured targets. On the other hand, Runbook uses a push-based method, where data is sent to the monitoring system by the monitored application itself or through a separate agent.

  2. Monitoring Approach: Prometheus follows a white-box monitoring approach, which means it provides detailed insights into the internals of the monitored system by exposing various metrics and instrumentation points. In contrast, Runbook leans towards a black-box monitoring approach, primarily focusing on the external behavior of the system without providing much visibility into its inner workings.

  3. Alerting and Notification: Prometheus has a powerful built-in alerting system that allows users to define alert rules based on customizable conditions. It also supports various notification methods like email, PagerDuty, and Slack. Runbook, on the other hand, primarily focuses on tracking incidents and providing collaboration tools for incident response and resolution, rather than providing its own alerting and notification mechanisms.

  4. Scalability and Performance: Prometheus is designed to be highly scalable and can handle large-scale deployments with thousands of monitored targets efficiently. It has an efficient storage system that allows for long-term retention of monitoring data. Runbook, although it can handle a significant number of incidents and tracks them over time, is primarily focused on incident management and response rather than scaling for large-scale monitoring deployments.

  5. Data Processing and Analysis: Prometheus offers a powerful query language called PromQL, which allows users to perform complex data processing and analysis on the collected metrics. It enables tasks like aggregation, filtering, and transformation of data for generating meaningful insights. Runbook, on the other hand, does not provide advanced data processing and analysis capabilities as it focuses more on the incident management aspect.

  6. Ecosystem and Integration: Prometheus has a rich ecosystem with a wide range of exporters, integrations, and dashboards available. It integrates well with other tools in the monitoring and observability space, making it a popular choice among DevOps teams. Runbook, while it may integrate with monitoring systems like Prometheus, primarily focuses on its own incident management capabilities and may not have as extensive an ecosystem as Prometheus.

In summary, Prometheus excels in data collection, monitoring, alerting, scalability, and data analysis, while Runbook focuses more on incident management and collaboration tools for incident response and resolution. Both tools have their strengths and are valuable in different aspects of IT infrastructure management and monitoring.

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Advice on Runbook, 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

Runbook
Runbook
Prometheus
Prometheus

Runbook is a SaaS application that monitors your servers and performs automated tasks when your monitors fails. Use Runbook to automatically recover from application crashes and unexpected failure without interrupting your service or your well earned sleep!

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.

Monitors are used to check the status of your environment. They can be webhooks that call to the Runbook RESTful API, they can be Datadog alerts, they can be ping requests. Or, you can setup our TCP custom port to validate connectivity.;Reactions are automated tasks that are called when Monitors fail. It can be anything from starting or restarting servers on AWS, Digital Ocean, or elsewhere, to running a custom script or executing a command. You know, all the first things you try when you get a 4am wake-up call;Integrated with the tools you use today: Heroku, Salt, Rackspace, DigitalOcean, Logentries
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
193
GitHub Stars
61.1K
GitHub Forks
54
GitHub Forks
9.9K
Stacks
6
Stacks
4.8K
Followers
21
Followers
3.8K
Votes
0
Votes
239
Pros & Cons
No community feedback yet
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
Commando.io
Commando.io
Docker
Docker
Logentries
Logentries
Datadog
Datadog
Slack
Slack
StatHat
StatHat
DigitalOcean
DigitalOcean
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Linode
Linode
Grafana
Grafana

What are some alternatives to Runbook, 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.

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).

StackStorm

StackStorm

StackStorm is a platform for integration and automation across services and tools. It ties together your existing infrastructure and application environment so you can more easily automate that environment -- with a particular focus on taking actions in response to events.

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