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  1. Stackups
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  3. Log Management
  4. Log Management
  5. Bosun vs Runbook vs Sumo Logic

Bosun vs Runbook vs Sumo Logic

OverviewComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
Runbook
Runbook
Stacks6
Followers21
Votes0
GitHub Stars193
Forks54
Bosun
Bosun
Stacks18
Followers52
Votes3
GitHub Stars3.4K
Forks492

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Detailed Comparison

Sumo Logic
Sumo Logic
Runbook
Runbook
Bosun
Bosun

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.

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!

Bosun is an open-source, MIT licensed, monitoring and alerting system by Stack Exchange. It has an expressive domain specific language for evaluating alerts and creating detailed notifications. It also lets you test your alerts against history for a faster development experience.

Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications
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
Save time by testing alerting against historical data and reduce alert noise before an alert goes into production;Supports querying OpenTSDB, Graphite, and Logstash-Elasticsearch;Create notifications using Bosun's template language: include graphs, tables, and contextual information
Statistics
GitHub Stars
-
GitHub Stars
193
GitHub Stars
3.4K
GitHub Forks
-
GitHub Forks
54
GitHub Forks
492
Stacks
192
Stacks
6
Stacks
18
Followers
282
Followers
21
Followers
52
Votes
21
Votes
0
Votes
3
Pros & Cons
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Occasionally unreliable log ingestion
  • 1
    Missing Monitoring
No community feedback yet
Pros
  • 1
    Query multiple tsdbs
  • 1
    Powerful alerting
  • 1
    Query Elasticsearch
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
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
No integrations available

What are some alternatives to Sumo Logic, Runbook, Bosun?

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.

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.

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.

Prometheus

Prometheus

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.

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.

Logstash

Logstash

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.

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

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