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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. JavaMelody vs Librato

JavaMelody vs Librato

OverviewComparisonAlternatives

Overview

Librato
Librato
Stacks93
Followers68
Votes31
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

Librato vs JavaMelody: What are the differences?

Librato: Real-Time Cloud Monitoring. Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you; JavaMelody: Monitoring of JavaEE applications. It is used to monitor Java or Java EE application servers in QA and production environments It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts..

Librato and JavaMelody are primarily classified as "Performance Monitoring" and "Java" tools respectively.

Some of the features offered by Librato are:

  • REST API accepts any metrics you define
  • Turnkey integration with AWS, Heroku, collectd, and more
  • Integrates with more than 100 open-source agents, and language bindings

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

  • give facts about the average response times and number of executions
  • make decisions when trends are bad, before problems become too serious
  • optimize based on the more limiting response times

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Detailed Comparison

Librato
Librato
JavaMelody
JavaMelody

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

REST API accepts any metrics you define; Turnkey integration with AWS, Heroku, collectd, and more; Integrates with more than 100 open-source agents, and language bindings; Designed for code-instrumentation as well as systems monitoring; Powerful correlation capabilities to compare metrics at any layer in the stack; Apply mathematical and transformative functions to existing metrics; Unlimited dashboards, notifications and collaborator accounts; Annotation streams for tracking aperiodic events; Advanced alerting that ties into best of breed notification services; World class support; Loved equally by operators, software engineers, data engineers, and managers;
give facts about the average response times and number of executions; make decisions when trends are bad, before problems become too serious; optimize based on the more limiting response times; find the root causes of response times; verify the real improvement after optimizations
Statistics
GitHub Stars
-
GitHub Stars
3.0K
GitHub Forks
-
GitHub Forks
754
Stacks
93
Stacks
1
Followers
68
Followers
6
Votes
31
Votes
2
Pros & Cons
Pros
  • 14
    Easy setup
  • 8
    Great visualization
  • 4
    Heroku integration
  • 3
    Free tier
  • 2
    Alerting
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
PagerDuty
PagerDuty
Slack
Slack
Amazon SNS
Amazon SNS
Heroku
Heroku
Flowdock
Flowdock
OpsGenie
OpsGenie
Amazon CloudWatch
Amazon CloudWatch
HipChat
HipChat
collectd
collectd
Bigpanda
Bigpanda
No integrations available

What are some alternatives to Librato, JavaMelody?

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!

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.

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.

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

AppDynamics

AppDynamics

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

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Keymetrics

Keymetrics

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.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

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