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  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Exception Monitoring
  5. JavaMelody vs Raygun

JavaMelody vs Raygun

OverviewComparisonAlternatives

Overview

Raygun
Raygun
Stacks136
Followers178
Votes198
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

Raygun vs JavaMelody: What are the differences?

What is Raygun? Use Raygun to track, manage, and report your software errors. 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.

What is 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..

Raygun belongs to "Performance Monitoring" category of the tech stack, while JavaMelody can be primarily classified under "Java Tools".

Some of the features offered by Raygun are:

  • Error, crash and performance monitoring, in one platform
  • Support for every major programming language and platform
  • Minutes to set up

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

Raygun
Raygun
JavaMelody
JavaMelody

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.

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.

Error, crash and performance monitoring, in one platform;Support for every major programming language and platform;Minutes to set up;Error grouping by root cause, assignment, comments and full diagnostic details;Front end performance monitoring to identify slow page load speeds in the user's browser;Modern Application Performance Monitoring (APM) with intelligent, automatic issue creation;Link with GitHub, Slack, JIRA and 30+ other team workflow integrations;See which problems were introduced (or fixed) in each deployment;See every issue your users have encountered and solve them with ease
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
136
Stacks
1
Followers
178
Followers
6
Votes
198
Votes
2
Pros & Cons
Pros
  • 31
    Easy setup and brilliant features
  • 19
    Integrates with many tools I use (e.g. GitHub, HipChat)
  • 19
    Huge range of programming languages supported
  • 17
    Makes my job so much easier
  • 17
    Support for JavaScript source maps
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
Java
Java
Jira
Jira
.NET
.NET
Campfire
Campfire
Python
Python
Golang
Golang
CakePHP
CakePHP
Trello
Trello
Ruby
Ruby
Zapier
Zapier
No integrations available

What are some alternatives to Raygun, 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.

Sentry

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

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!

Rollbar

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

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.

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