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

JavaMelody vs TraceView

OverviewComparisonAlternatives

Overview

TraceView
TraceView
Stacks8
Followers17
Votes7
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

JavaMelody vs TraceView: What are the differences?

  1. Data Collection: JavaMelody primarily focuses on monitoring Java applications, providing detailed insights into various metrics such as CPU usage, memory usage, and performance data. On the other hand, TraceView offers comprehensive monitoring and visualization of application performance in real-time, specializing in analyzing transaction traces and code-level performance.

  2. Supported Platforms: JavaMelody can be integrated with various Java applications and containers, including Java EE, Spring, and Tomcat. In contrast, TraceView supports a wider range of platforms beyond just Java, including PHP, Python, Ruby, and Node.js, making it a more versatile monitoring tool for different types of applications.

  3. User Interface: JavaMelody offers a simple and user-friendly interface for monitoring Java applications, displaying metrics in a clear and concise manner. TraceView, on the other hand, provides a feature-rich dashboard with advanced visualization tools, allowing users to deep dive into the performance data with detailed graphs and charts.

  4. Alerting and Notifications: JavaMelody provides basic alerting mechanisms based on predefined thresholds for various metrics, allowing users to receive notifications when performance issues occur. TraceView, on the other hand, offers more advanced alerting capabilities, including the ability to set up custom alerts based on complex conditions and trigger notifications through multiple channels such as email and SMS.

  5. Integration with Third-party Tools: JavaMelody offers limited integration options with third-party tools and services for extending its monitoring capabilities. In comparison, TraceView provides seamless integration with a wide range of external services and tools, including popular APM platforms like New Relic and Datadog, enhancing its scalability and efficiency in monitoring complex applications.

  6. Customization and Extensibility: JavaMelody allows users to customize monitoring settings and data collection parameters to some extent, but the level of customization is relatively limited compared to TraceView. TraceView, on the other hand, offers extensive customization options, including the ability to create custom dashboards, reports, and metrics tailored to specific application requirements, making it a more flexible monitoring solution for diverse use cases.

In Summary, JavaMelody is focused on monitoring Java applications with a user-friendly interface, while TraceView offers more versatility, advanced features, and customization options for monitoring a wide range of platforms and applications.

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Detailed Comparison

TraceView
TraceView
JavaMelody
JavaMelody

Expose everything, from the webserver to database, cache and API calls. The core technology is based on X-Trace, a distributed tracing framework that’s served as the inspiration for companies like Google and Twitter.

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.

Track every machine involved in a transaction and identify bottlenecks in a single click.;Isolate interesting calls and drill down to the line of code and machine it ran on.;Tie together code and infrastructure metrics with database, service, and cache calls, all in the context of a single transaction.;Smart Tracing means you can run in production, with negligible overhead (< 1%).;Understand spikes in the graphs, even if the cause is only a single outlying request.;Visualize request patterns in one place to separate the noisy from the systematic.;Cross-correlate information between multiple sources. Want to find the controller and action that scans entire MongoDB collections? Done, in a single screen.;Zoom-in on trends based on performance - no guessing involved.;From mobile to desktops, understand your customer’s true web application experience from anywhere around the world.;Track server, network, and in-browser latency based on exactly what the user sees, as measured from directly inside your users’ browsers.;Tie end user experiences back to actual server side transactions.
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
8
Stacks
1
Followers
17
Followers
6
Votes
7
Votes
2
Pros & Cons
Pros
  • 5
    The heatmap helped me isolate DB related issues
  • 2
    Heatmap helped me find a Tomcat Memcached problem
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
Heroku
Heroku
No integrations available

What are some alternatives to TraceView, 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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