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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Feature Flags Management
  5. FF4J vs JavaMelody

FF4J vs JavaMelody

OverviewComparisonAlternatives

Overview

FF4J
FF4J
Stacks7
Followers16
Votes0
GitHub Stars1.4K
Forks286
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

FF4J vs JavaMelody: What are the differences?

What is FF4J? Feature Flags for Java made easy. It is an implementation of Feature Toggle pattern : Enable and disable features or your applications at runtime thanks to dedicated web console, REST API, JMX or even CLI. It handle also properties and provide generic interfaces.

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..

FF4J and JavaMelody are primarily classified as "Feature Flags Management" and "Java" tools respectively.

Some of the features offered by FF4J are:

  • Feature Toggle
  • Role-based Toggling
  • Strategy-based Toggling

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

FF4J is an open source tool with 779 GitHub stars and 204 GitHub forks. Here's a link to FF4J's open source repository on GitHub.

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Detailed Comparison

FF4J
FF4J
JavaMelody
JavaMelody

It is an implementation of Feature Toggle pattern : Enable and disable features or your applications at runtime thanks to dedicated web console, REST API, JMX or even CLI. It handle also properties and provide generic interfaces.

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.

Feature Toggle; Role-based Toggling; Strategy-based Toggling; AOP-driven Toggling; Features Monitoring; Web Console; Wide choice of Databases; Spring Boot Starter; Command Line Interface
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
1.4K
GitHub Stars
3.0K
GitHub Forks
286
GitHub Forks
754
Stacks
7
Stacks
1
Followers
16
Followers
6
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
PostgreSQL
PostgreSQL
Elasticsearch
Elasticsearch
MongoDB
MongoDB
Cassandra
Cassandra
MariaDB
MariaDB
Spring Boot
Spring Boot
Java
Java
Redis
Redis
Amazon DynamoDB
Amazon DynamoDB
Consul
Consul
No integrations available

What are some alternatives to FF4J, 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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