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  5. JavaMelody vs Quarkus

JavaMelody vs Quarkus

OverviewComparisonAlternatives

Overview

Quarkus
Quarkus
Stacks311
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

JavaMelody vs Quarkus: What are the differences?

Introduction

This Markdown code provides a formatted comparison between JavaMelody and Quarkus, highlighting their key differences.

  1. Scalability: JavaMelody focuses on monitoring capabilities for Java applications, providing detailed metrics and performance analysis. On the other hand, Quarkus is a full-stack, Kubernetes-native Java framework designed for building cloud-native applications with superior scalability and fast startup time.

  2. Microservices Orientation: While JavaMelody is primarily used for monitoring Java applications, Quarkus is specifically built for developing microservices and serverless functions. It offers a lightweight container-first approach with support for multiple programming languages, facilitating the development of highly scalable and efficient microservices architectures.

  3. Deployment Flexibility: JavaMelody is typically integrated into existing Java applications as a monitoring library, requiring explicit configuration and setup. In contrast, Quarkus provides a streamlined deployment process by packaging applications into small-sized container images, enabling seamless deployment on various cloud platforms while promoting efficient resource utilization.

  4. Native Compilation: Quarkus introduces the concept of native compilation, which allows developers to compile Java applications into native executables. This approach offers improved startup performance, reduced memory footprint, and better overall efficiency. JavaMelody, on the other hand, does not directly provide this native compilation capability.

  5. Dev Mode and Hot Reload: Quarkus features a developer mode that supports instant code reloading, enabling a faster development iteration process. Developers can make changes to their code and immediately see the results without the need for manual restarts or rebuilds. JavaMelody, being a monitoring library, does not offer similar development mode functionalities.

  6. Community and Ecosystem: Quarkus has gained significant traction within the Java community and has a thriving ecosystem with numerous extensions and integrations. This ensures extensive support and access to a wide range of tools and resources. While JavaMelody also has an active community, its focus is mainly on monitoring capabilities and may not possess the same level of ecosystem diversity and community backing as Quarkus.

In summary, Quarkus differentiates itself from JavaMelody by offering a scalable and efficient cloud-native development framework with native compilation support, microservices orientation, streamlined deployment process, developer-friendly features like hot reload, and a vibrant community ecosystem.

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Detailed Comparison

Quarkus
Quarkus
JavaMelody
JavaMelody

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.

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.

CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
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
15.2K
GitHub Stars
3.0K
GitHub Forks
3.0K
GitHub Forks
754
Stacks
311
Stacks
1
Followers
382
Followers
6
Votes
80
Votes
2
Pros & Cons
Pros
  • 13
    Open source
  • 13
    Fast startup
  • 11
    Low memory footprint
  • 11
    Produce native code
  • 10
    Hot Reload
Cons
  • 2
    Boilerplate code when using Reflection
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty
No integrations available

What are some alternatives to Quarkus, 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.

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.

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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