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

Blackfire.io vs JavaMelody

OverviewComparisonAlternatives

Overview

Blackfire.io
Blackfire.io
Stacks66
Followers67
Votes14
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

Blackfire.io vs JavaMelody: What are the differences?

Blackfire.io: Blackfire.io enables developers to continuously measure & improve their code performance in dev, test, staging and prod. Blackfire is a profiler which drills down to function/method call level to enable developers to understand and optimize their code's behaviour and performance. It works with no impact for end users on prod, integrates with CI/CD, and more; 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..

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

Some of the features offered by Blackfire.io are:

  • Profiling Web Pages, CLI scripts, API Calls
  • Timeline & Callgraph visualizations
  • Wall Time, CPU, I/O, Memory, Network, HTTP calls, SQL requests dimensions

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

Blackfire.io
Blackfire.io
JavaMelody
JavaMelody

Monitor, profile and test your application even before it is released in production. Get actionable insights to improve your code rather than spend time figuring out what’s wrong. Ensure optimal performance and user experience for your web

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.

Monitoring HTTP and CLI; Alerting; Profiling Web Pages, CLI scripts, API Calls; Timeline & Callgraph visualizations; Wall Time, CPU, I/O, Memory, Network, HTTP calls, SQL requests dimensions; Distributed Profiling; Assertions; Profiling Automations; Integrations with CI/CD; Periodic profiling; Test reports; Performance, Quality & Security Checks; Supports all PHP versions from 5.3, Python 2.7 and 3.x, , Go 1.9 and higher; PHP, Python and Go SDK
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
66
Stacks
1
Followers
67
Followers
6
Votes
14
Votes
2
Pros & Cons
Pros
  • 7
    Deep insights into PHP request cycle
  • 5
    Performance profiling
  • 2
    Intuitive UI
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
GitLab
GitLab
GitHub
GitHub
Bitbucket
Bitbucket
Firefox
Firefox
Fastly
Fastly
Postman
Postman
Chef
Chef
Typo3
Typo3
Django CMS
Django CMS
HipChat
HipChat
No integrations available

What are some alternatives to Blackfire.io, 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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