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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. LogicMonitor vs Logstash

LogicMonitor vs Logstash

OverviewComparisonAlternatives

Overview

LogicMonitor
LogicMonitor
Stacks38
Followers90
Votes20
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K

LogicMonitor vs Logstash: What are the differences?

Developers describe LogicMonitor as "SaaS-based, automated IT performance monitoring platform for On-Premise, Hybrid, and Cloud infrastructures". LogicMonitor provides the end-to-end visibility needed to maintain the performance and availability of business applications. It leverages automation and built-in intelligence to monitor today's complex and distributed infrastructures. On the other hand, Logstash is detailed 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.

LogicMonitor belongs to "Performance Monitoring" category of the tech stack, while Logstash can be primarily classified under "Log Management".

Some of the features offered by LogicMonitor are:

  • Full Stack Performance Monitoring
  • Pre-configured monitoring, with built-in alert thresholds, for 1000+ technologies
  • Works with any Deployment Model: On-prem, Hybrid, & Hybrid Cloud

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

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

"Auto discovery" is the primary reason why developers consider LogicMonitor over the competitors, whereas "Free" was stated as the key factor in picking Logstash.

Logstash is an open source tool with 10.3K GitHub stars and 2.78K GitHub forks. Here's a link to Logstash's open source repository on GitHub.

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Detailed Comparison

LogicMonitor
LogicMonitor
Logstash
Logstash

LogicMonitor provides the end-to-end visibility needed to maintain the performance and availability of business applications. It leverages automation and built-in intelligence to monitor today's complex and distributed infrastructures.

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.

Full Stack Performance Monitoring;Pre-configured monitoring, with built-in alert thresholds, for 1000+ technologies;Works with any Deployment Model: On-prem, Hybrid, & Hybrid Cloud;Granular Monitoring for AWS;Network Scan & Automated Device Discovery;Alert Routing & Escalation;Alert & Performance Forecasting;Custom Dashboards;Custom Reports;REST API;Syslog, Event, & Batch Job Monitoring;External Website Monitoring;Out-of-the-box Integrations for many Communication & Ticketing Tools;Data Stored for up to 2 years Without Aggregation;Remote Sessions;Configuration Management;Automatic Data Backup & Disaster Recovery;Unlimited Users & Granular RBAC;Ongoing Support & Training;SSO & 2FA
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Statistics
GitHub Stars
-
GitHub Stars
14.7K
GitHub Forks
-
GitHub Forks
3.5K
Stacks
38
Stacks
12.3K
Followers
90
Followers
8.8K
Votes
20
Votes
103
Pros & Cons
Pros
  • 5
    Auto discovery
  • 5
    Fast deployment
  • 3
    Very extensible
  • 3
    Agentless
  • 3
    Awesome support
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
Integrations
RightScale
RightScale
Puppet Labs
Puppet Labs
Twilio
Twilio
HipChat
HipChat
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to LogicMonitor, Logstash?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

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.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

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.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

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.

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

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