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  5. JavaMelody vs XRebel

JavaMelody vs XRebel

OverviewComparisonAlternatives

Overview

XRebel
XRebel
Stacks2
Followers5
Votes0
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

XRebel vs JavaMelody: What are the differences?

What is XRebel? Java code analysis tool. It does things traditional profiling tools can’t. It allows developers to trace the impact of their code from beginning to end -- even in distributed applications. This, combined with real-time Java performance metrics, makes it a must-have tool for any Java developer. With this tool, developers can create better-performing applications that lead to better end user experience.

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..

XRebel and JavaMelody can be primarily classified as "Java" tools.

JavaMelody is an open source tool with 2.26K GitHub stars and 636 GitHub forks. Here's a link to JavaMelody's open source repository on GitHub.

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Detailed Comparison

XRebel
XRebel
JavaMelody
JavaMelody

It does things traditional profiling tools can’t. It allows developers to trace the impact of their code from beginning to end -- even in distributed applications. This, combined with real-time Java performance metrics, makes it a must-have tool for any Java developer. With this tool, developers can create better-performing applications that lead to better end user experience.

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.

-
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
2
Stacks
1
Followers
5
Followers
6
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 1
    Open source
  • 1
    Easy to setup

What are some alternatives to XRebel, 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!

Code Climate

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

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.

Phabricator

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

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.

PullReview

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

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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