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

JavaMelody vs Metricly

OverviewComparisonAlternatives

Overview

Metricly
Metricly
Stacks1
Followers1
Votes0
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

Metricly vs JavaMelody: What are the differences?

Metricly: A platform that coaches users throughout their cloud journey to safely and easily control their public cloud spending. It is a SaaS-based adaptive monitoring solution that helps organizations monitor cloud services, applications, infrastructure, and public cloud costs; 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..

Metricly can be classified as a tool in the "Performance Monitoring" category, while JavaMelody is grouped under "Java Tools".

Some of the features offered by Metricly are:

  • Capacity analytics
  • Performance analytics
  • Demand monitoring

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

Metricly
Metricly
JavaMelody
JavaMelody

It is a SaaS-based adaptive monitoring solution that helps organizations monitor cloud services, applications, infrastructure, and public cloud costs.

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.

Capacity analytics; Performance analytics; Demand monitoring; Cost management; Billing & provisioning; Multi-cloud management; Utilization reports; EC2 cost reports.
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
1
Stacks
1
Followers
1
Followers
6
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
GitHub
GitHub
Apache HTTP Server
Apache HTTP Server
NGINX
NGINX
Docker
Docker
PHP
PHP
Python
Python
Node.js
Node.js
No integrations available

What are some alternatives to Metricly, 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!

Amazon CloudWatch

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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.

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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.

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