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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Logstash vs Runbook

Logstash vs Runbook

OverviewComparisonAlternatives

Overview

Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K
Runbook
Runbook
Stacks6
Followers21
Votes0
GitHub Stars193
Forks54

Logstash vs Runbook: What are the differences?

Developers describe Logstash as "Collect, Parse, & Enrich Data". Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana. On the other hand, Runbook is detailed as "Infrastructure Monitoring with Automated Remediation". 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!.

Logstash can be classified as a tool in the "Log Management" category, while Runbook is grouped under "Remote Server Task Execution".

Some of the features offered by Logstash are:

  • Centralize data processing of all types
  • Normalize varying schema and formats
  • Quickly extend to custom log formats

On the other hand, Runbook provides the following key features:

  • 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

Logstash and Runbook are both open source tools. Logstash with 10.3K GitHub stars and 2.78K forks on GitHub appears to be more popular than Runbook with 193 GitHub stars and 55 GitHub forks.

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Detailed Comparison

Logstash
Logstash
Runbook
Runbook

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

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!

Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
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
Statistics
GitHub Stars
14.7K
GitHub Stars
193
GitHub Forks
3.5K
GitHub Forks
54
Stacks
12.3K
Stacks
6
Followers
8.8K
Followers
21
Votes
103
Votes
0
Pros & Cons
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Well Documented
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
No community feedback yet
Integrations
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
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

What are some alternatives to Logstash, Runbook?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

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.

ELK

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

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