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

JavaMelody vs ruxit

OverviewComparisonAlternatives

Overview

ruxit
ruxit
Stacks240
Followers25
Votes5
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

ruxit vs JavaMelody: What are the differences?

Developers describe ruxit as "Full stack availability and performance monitoring powered by artificial intelligence". Ruxit is a all-in-one performance monitoring solution for cloud natives. In under five minutes customizable dashboard views show you your application's performance data. On the other hand, JavaMelody is detailed as "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..

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

Some of the features offered by ruxit are:

  • AI-based analysis
  • Full code-level visibility, including database calls & web service stacks
  • Monitors server resources and availability

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

ruxit
ruxit
JavaMelody
JavaMelody

Ruxit is a all-in-one performance monitoring solution for cloud natives. In under five minutes customizable dashboard views show you your application's performance data.

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.

AI-based analysis; Full code-level visibility, including database calls & web service stacks; Monitors server resources and availability; Service monitoring and deployment change detection; Locates bottlenecks & hotspots; Real-Time visualization of dependencies; Simple Installation with fully automatic discovery within minutes; Supports the most popular web technologies like Java, .NET, Node.js, MongoDB, PHP, Real User Monitoring with full user input tracing; Monitoring applications and microservices in Docker containers; Cloud detection and dynamic instance dependency monitoring for Amazon EC2 and Microsoft Azure; Geo-location-aware usage analysis and Apdex-based user-experience
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
240
Stacks
1
Followers
25
Followers
6
Votes
5
Votes
2
Pros & Cons
Pros
  • 3
    Easy setup
  • 2
    Great customer support
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
Amazon EC2
Amazon EC2
Microsoft Azure
Microsoft Azure
PagerDuty
PagerDuty
HipChat
HipChat
Docker
Docker
Slack
Slack
No integrations available

What are some alternatives to ruxit, 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.

Librato

Librato

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.

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.

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