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

Keymetrics vs Logstash

OverviewComparisonAlternatives

Overview

Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K
Keymetrics
Keymetrics
Stacks27
Followers28
Votes31
GitHub Stars42.7K
Forks2.7K

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Detailed Comparison

Logstash
Logstash
Keymetrics
Keymetrics

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.

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Process management;CPU / Memory Monitoring;Log facilities;Load balancing / 0s reload downtime;Startup script generation;Run Next generation Javascript
Statistics
GitHub Stars
14.7K
GitHub Stars
42.7K
GitHub Forks
3.5K
GitHub Forks
2.7K
Stacks
12.3K
Stacks
27
Followers
8.8K
Followers
28
Votes
103
Votes
31
Pros & Cons
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Pros
  • 7
    Easy Setup
  • 6
    Realtime App CPU and RAM consumption
  • 5
    Monitoring for many Apps
  • 4
    Alarm on Code Failure
  • 4
    Mobile friendly
Integrations
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
Node.js
Node.js

What are some alternatives to Logstash, Keymetrics?

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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